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  • Latest Python 3 Release — Python 3.11.2

Stable Releases

  • Python 3.10.10 — Feb. 8, 2023

    Note that Python 3.10.10 cannot be used on Windows 7 or earlier.

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  • Python 3.11.2 — Feb. 8, 2023

    Note that Python 3.11.2 cannot be used on Windows 7 or earlier.

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  • Python 3.11.1 — Dec. 6, 2022

    Note that Python 3.11.1 cannot be used on Windows 7 or earlier.

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  • Python 3.10.9 — Dec. 6, 2022

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  • Python 3.9.16 — Dec. 6, 2022

    Note that Python 3.9.16 cannot be used on Windows 7 or earlier.

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  • Python 3.8.16 — Dec. 6, 2022

    Note that Python 3.8.16 cannot be used on Windows XP or earlier.

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  • Python 3.7.16 — Dec. 6, 2022

    Note that Python 3.7.16 cannot be used on Windows XP or earlier.

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  • Python 3.11.0 — Oct. 24, 2022

    Note that Python 3.11.0 cannot be used on Windows 7 or earlier.

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  • Python 3.9.15 — Oct. 11, 2022

    Note that Python 3.9.15 cannot be used on Windows 7 or earlier.

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  • Python 3.8.15 — Oct. 11, 2022

    Note that Python 3.8.15 cannot be used on Windows XP or earlier.

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  • Python 3.10.8 — Oct. 11, 2022

    Note that Python 3.10.8 cannot be used on Windows 7 or earlier.

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  • Python 3.7.15 — Oct. 11, 2022

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  • Python 3.7.14 — Sept. 6, 2022

    Note that Python 3.7.14 cannot be used on Windows XP or earlier.

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  • Python 3.8.14 — Sept. 6, 2022

    Note that Python 3.8.14 cannot be used on Windows XP or earlier.

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  • Python 3.9.14 — Sept. 6, 2022

    Note that Python 3.9.14 cannot be used on Windows 7 or earlier.

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  • Python 3.10.7 — Sept. 6, 2022

    Note that Python 3.10.7 cannot be used on Windows 7 or earlier.

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  • Python 3.10.6 — Aug. 2, 2022

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  • Python 3.10.5 — June 6, 2022

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  • Python 3.9.13 — May 17, 2022

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  • Python 3.10.4 — March 24, 2022

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  • Python 3.9.12 — March 23, 2022

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  • Python 3.10.3 — March 16, 2022

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  • Python 3.9.11 — March 16, 2022

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  • Python 3.8.13 — March 16, 2022

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  • Python 3.7.13 — March 16, 2022

    Note that Python 3.7.13 cannot be used on Windows XP or earlier.

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  • Python 3.9.10 — Jan. 14, 2022

    Note that Python 3.9.10 cannot be used on Windows 7 or earlier.

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  • Python 3.10.2 — Jan. 14, 2022

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  • Python 3.10.1 — Dec. 6, 2021

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  • Python 3.9.9 — Nov. 15, 2021

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  • Python 3.9.8 — Nov. 5, 2021

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  • Python 3.10.0 — Oct. 4, 2021

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  • Python 3.7.12 — Sept. 4, 2021

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  • Python 3.6.15 — Sept. 4, 2021

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  • Python 3.9.7 — Aug. 30, 2021

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  • Python 3.8.12 — Aug. 30, 2021

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  • Python 3.9.6 — June 28, 2021

    Note that Python 3.9.6 cannot be used on Windows 7 or earlier.

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  • Python 3.8.11 — June 28, 2021

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  • Python 3.6.14 — June 28, 2021

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  • Python 3.7.11 — June 28, 2021

    Note that Python 3.7.11 cannot be used on Windows XP or earlier.

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  • Python 3.9.5 — May 3, 2021

    Note that Python 3.9.5 cannot be used on Windows 7 or earlier.

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  • Python 3.8.10 — May 3, 2021

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  • Python 3.9.4 — April 4, 2021

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  • Python 3.9.3 — April 2, 2021

    Note that Python 3.9.3 cannot be used on Windows 7 or earlier.

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  • Python 3.8.9 — April 2, 2021

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  • Python 3.9.2 — Feb. 19, 2021

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  • Python 3.8.8 — Feb. 19, 2021

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  • Python 3.6.13 — Feb. 15, 2021

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  • Python 3.7.10 — Feb. 15, 2021

    Note that Python 3.7.10 cannot be used on Windows XP or earlier.

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  • Python 3.8.7 — Dec. 21, 2020

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  • Python 3.9.1 — Dec. 7, 2020

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  • Python 3.9.0 — Oct. 5, 2020

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  • Python 3.8.6 — Sept. 24, 2020

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  • Python 3.8.6rc1 — Sept. 8, 2020

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  • Python 3.5.10 — Sept. 5, 2020

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  • Python 3.7.9 — Aug. 17, 2020

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  • Python 3.6.12 — Aug. 17, 2020

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  • Python 3.8.5 — July 20, 2020

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  • Python 3.8.4 — July 13, 2020

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  • Python 3.8.4rc1 — June 30, 2020

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  • Python 3.7.8 — June 27, 2020

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  • Python 3.6.11 — June 27, 2020

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  • Python 3.8.3 — May 13, 2020

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  • Python 3.8.3rc1 — April 29, 2020

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  • Python 2.7.18 — April 20, 2020

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  • Python 3.7.7 — March 10, 2020

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  • Python 3.8.2 — Feb. 24, 2020

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  • Python 3.8.1 — Dec. 18, 2019

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  • Python 3.7.6 — Dec. 18, 2019

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  • Python 3.6.10 — Dec. 18, 2019

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  • Python 3.5.9 — Nov. 2, 2019

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  • Python 3.5.8 — Oct. 29, 2019

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  • Python 2.7.17 — Oct. 19, 2019

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  • Python 3.7.5 — Oct. 15, 2019

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  • Python 3.8.0 — Oct. 14, 2019

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  • Python 3.7.4 — July 8, 2019

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  • Python 3.6.9 — July 2, 2019

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  • Python 3.7.3 — March 25, 2019

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  • Python 3.4.10 — March 18, 2019

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  • Python 3.5.7 — March 18, 2019

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  • Python 2.7.16 — March 4, 2019

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  • Python 3.7.2 — Dec. 24, 2018

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  • Python 3.6.8 — Dec. 24, 2018

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  • Python 3.7.1 — Oct. 20, 2018

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  • Python 3.6.7 — Oct. 20, 2018

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  • Python 3.5.6 — Aug. 2, 2018

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  • Python 3.4.9 — Aug. 2, 2018

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  • Python 3.7.0 — June 27, 2018

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  • Python 3.6.6 — June 27, 2018

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  • Python 2.7.15 — May 1, 2018

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  • Python 3.6.5 — March 28, 2018

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  • Python 3.4.8 — Feb. 5, 2018

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  • Python 3.5.5 — Feb. 5, 2018

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  • Python 3.6.4 — Dec. 19, 2017

    Note that Python 3.6.4 cannot be used on Windows XP or earlier.

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  • Python 3.6.3 — Oct. 3, 2017

    Note that Python 3.6.3 cannot be used on Windows XP or earlier.

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  • Python 3.3.7 — Sept. 19, 2017

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  • Python 2.7.14 — Sept. 16, 2017

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  • Python 3.4.7 — Aug. 9, 2017

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  • Python 3.5.4 — Aug. 8, 2017

    Note that Python 3.5.4 cannot be used on Windows XP or earlier.

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  • Python 3.6.2 — July 17, 2017

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  • Python 3.6.1 — March 21, 2017

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  • Python 3.4.6 — Jan. 17, 2017

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  • Python 3.5.3 — Jan. 17, 2017

    Note that Python 3.5.3 cannot be used on Windows XP or earlier.

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  • Python 3.6.0 — Dec. 23, 2016

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  • Python 2.7.13 — Dec. 17, 2016

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  • Python 3.4.5 — June 27, 2016

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  • Python 3.5.2 — June 27, 2016

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  • Python 2.7.12 — June 25, 2016

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  • Python 3.4.4 — Dec. 21, 2015

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  • Python 3.5.1 — Dec. 7, 2015

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  • Python 2.7.11 — Dec. 5, 2015

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  • Python 3.5.0 — Sept. 13, 2015

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  • Python 2.7.10 — May 23, 2015

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  • Python 3.4.3 — Feb. 25, 2015

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  • Python 2.7.9 — Dec. 10, 2014

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  • Python 3.4.2 — Oct. 13, 2014

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  • Python 3.3.6 — Oct. 12, 2014

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  • Python 3.2.6 — Oct. 12, 2014

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  • Python 2.7.8 — July 2, 2014

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  • Python 2.7.7 — June 1, 2014

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  • Python 3.4.1 — May 19, 2014

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  • Python 3.4.0 — March 17, 2014

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  • Python 3.3.5 — March 9, 2014

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  • Python 3.3.4 — Feb. 9, 2014

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  • Python 3.3.3 — Nov. 17, 2013

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  • Python 2.7.6 — Nov. 10, 2013

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  • Python 2.6.9 — Oct. 29, 2013

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  • Python 3.2.5 — May 15, 2013

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  • Python 3.3.2 — May 15, 2013

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  • Python 2.7.5 — May 12, 2013

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  • Python 3.2.4 — April 6, 2013

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  • Python 3.3.1 — April 6, 2013

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  • Python 2.7.4 — April 6, 2013

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  • Python 3.3.0 — Sept. 29, 2012

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  • Python 3.2.3 — April 10, 2012

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  • Python 2.6.8 — April 10, 2012

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  • Python 3.1.5 — April 9, 2012

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  • Python 2.7.3 — April 9, 2012

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  • Python 3.2.2 — Sept. 3, 2011

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  • Python 3.2.1 — July 9, 2011

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  • Python 2.7.2 — June 11, 2011

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  • Python 3.1.4 — June 11, 2011

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  • Python 2.6.7 — June 3, 2011

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  • Python 2.5.6 — May 26, 2011

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  • Python 3.2.0 — Feb. 20, 2011

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  • Python 3.1.3 — Nov. 27, 2010

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  • Python 2.7.1 — Nov. 27, 2010

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  • Python 2.6.6 — Aug. 24, 2010

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  • Python 2.7.0 — July 3, 2010

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  • Python 3.1.2 — March 20, 2010

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  • Python 2.6.5 — March 18, 2010

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  • Python 2.5.5 — Jan. 31, 2010

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  • Python 2.6.4 — Oct. 26, 2009

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  • Python 2.6.3 — Oct. 2, 2009

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  • Python 3.1.1 — Aug. 17, 2009

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  • Python 3.1.0 — June 26, 2009

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  • Python 2.6.2 — April 14, 2009

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  • Python 3.0.1 — Feb. 13, 2009

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  • Python 2.5.4 — Dec. 23, 2008

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  • Python 2.4.6 — Dec. 19, 2008

    • No files for this release.
  • Python 2.5.3 — Dec. 19, 2008

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  • Python 2.6.1 — Dec. 4, 2008

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  • Python 3.0.0 — Dec. 3, 2008

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  • Python 2.6.0 — Oct. 2, 2008

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  • Python 2.4.5 — March 11, 2008

    • No files for this release.
  • Python 2.3.7 — March 11, 2008

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  • Python 2.5.2 — Feb. 21, 2008

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  • Python 2.5.1 — April 19, 2007

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  • Python 2.3.6 — Nov. 1, 2006

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  • Python 2.4.4 — Oct. 18, 2006

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  • Python 2.5.0 — Sept. 19, 2006

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  • Python 2.4.3 — April 15, 2006

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  • Python 2.4.2 — Sept. 27, 2005

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  • Python 2.4.1 — March 30, 2005

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  • Python 2.3.5 — Feb. 8, 2005

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  • Python 2.4.0 — Nov. 30, 2004

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  • Python 2.3.4 — May 27, 2004

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  • Python 2.3.3 — Dec. 19, 2003

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  • Python 2.3.2 — Oct. 3, 2003

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  • Python 2.3.1 — Sept. 23, 2003

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  • Python 2.3.0 — July 29, 2003

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  • Python 2.2.3 — May 30, 2003

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  • Python 2.2.2 — Oct. 14, 2002

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  • Python 2.2.1 — April 10, 2002

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  • Python 2.1.3 — April 9, 2002

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  • Python 2.2.0 — Dec. 21, 2001

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  • Python 2.0.1 — June 22, 2001

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Pre-releases

  • Python 3.12.0a5 — Feb. 7, 2023

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  • Python 3.12.0a4 — Jan. 10, 2023

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  • Python 3.12.0a3 — Dec. 6, 2022

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  • Python 3.12.0a2 — Nov. 15, 2022

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  • Python 3.12.0a1 — Oct. 25, 2022

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  • Python 3.11.0rc2 — Sept. 12, 2022

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  • Python 3.11.0rc1 — Aug. 8, 2022

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  • Python 3.11.0b5 — July 26, 2022

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  • Python 3.11.0b4 — July 11, 2022

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  • Python 3.11.0b3 — June 1, 2022

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  • Python 3.11.0b2 — May 31, 2022

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  • Python 3.11.0b1 — May 8, 2022

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  • Python 3.11.0a7 — April 5, 2022

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  • Python 3.11.0a6 — March 7, 2022

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  • Python 3.11.0a5 — Feb. 3, 2022

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  • Python 3.11.0a4 — Jan. 14, 2022

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  • Python 3.11.0a3 — Dec. 8, 2021

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  • Python 3.11.0a2 — Nov. 5, 2021

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  • Python 3.11.0a1 — Oct. 5, 2021

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  • Python 3.10.0rc2 — Sept. 7, 2021

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  • Python 3.10.0rc1 — Aug. 2, 2021

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  • Python 3.10.0b4 — July 10, 2021

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  • Python 3.10.0b3 — June 17, 2021

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  • Python 3.10.0b2 — May 31, 2021

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  • Python 3.10.0b1 — May 3, 2021

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  • Python 3.10.0a7 — April 5, 2021

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  • Python 3.10.0a6 — March 1, 2021

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  • Python 3.9.2rc1 — Feb. 16, 2021

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  • Python 3.8.8rc1 — Feb. 16, 2021

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  • Python 3.10.0a5 — Feb. 2, 2021

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  • Python 3.10.0a4 — Jan. 4, 2021

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  • Python 3.8.7rc1 — Dec. 7, 2020

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  • Python 3.10.0a3 — Dec. 7, 2020

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  • Python 3.9.1rc1 — Nov. 26, 2020

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  • Python 3.10.0a2 — Nov. 3, 2020

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  • Python 3.10.0a1 — Oct. 5, 2020

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  • Python 3.9.0rc2 — Sept. 17, 2020

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  • Python 3.5.10rc1 — Aug. 22, 2020

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  • Python 3.9.0rc1 — Aug. 11, 2020

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  • Python 3.9.0b5 — July 20, 2020

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  • Python 3.9.0b4 — July 3, 2020

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  • Python 3.7.8rc1 — June 17, 2020

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  • Python 3.6.11rc1 — June 17, 2020

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  • Python 3.6.10rc1 — Dec. 11, 2019

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  • Python 3.5.8rc2 — Oct. 12, 2019

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  • Python 3.8.0b3 — July 29, 2019

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  • Python 3.8.0a3 — March 25, 2019

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  • Python 3.7.3rc1 — March 12, 2019

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  • Python 3.4.10rc1 — March 4, 2019

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  • Python 2.7.16rc1 — Feb. 17, 2019

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  • Python 3.8.0a1 — Feb. 3, 2019

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  • Python 3.7.2rc1 — Dec. 11, 2018

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  • Python 3.6.8rc1 — Dec. 11, 2018

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  • Python 3.7.1rc2 — Oct. 13, 2018

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  • Python 3.7.1rc1 — Sept. 26, 2018

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  • Python 3.6.7rc1 — Sept. 26, 2018

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  • Python 3.4.9rc1 — July 20, 2018

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  • Python 3.7.0rc1 — June 11, 2018

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  • Python 3.7.0b5 — May 30, 2018

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  • Python 2.7.15rc1 — April 15, 2018

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  • Python 3.6.5rc1 — March 13, 2018

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  • Python 3.7.0b2 — Feb. 28, 2018

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  • Python 3.7.0b1 — Jan. 31, 2018

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  • Python 3.4.8rc1 — Jan. 23, 2018

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  • Python 3.7.0a3 — Dec. 5, 2017

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  • Python 3.3.7rc1 — Sept. 6, 2017

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  • Python 2.7.14rc1 — Aug. 27, 2017

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  • Python 3.4.7rc1 — July 25, 2017

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  • Python 3.6.2rc1 — June 17, 2017

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  • Python 3.4.6rc1 — Jan. 3, 2017

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  • Python 3.6.0rc2 — Dec. 16, 2016

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  • Python 3.6.0a4 — Aug. 15, 2016

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  • Python 3.6.0a3 — July 12, 2016

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  • Python 2.7.12rc1 — June 13, 2016

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  • Python 3.4.5rc1 — June 13, 2016

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  • Python 3.4.4rc1 — Dec. 7, 2015

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  • Python 3.5.0a4 — April 20, 2015

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  • Python 3.5.0a2 — March 9, 2015

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  • Python 3.5.0a1 — Feb. 8, 2015

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  • Python 2.7.9rc1 — Nov. 26, 2014

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  • Python 3.4.2rc1 — Sept. 22, 2014

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  • Python 2.7.7rc1 — May 17, 2014

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  • Python 3.4.1rc1 — May 5, 2014

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  • Python 3.4.0rc3 — March 10, 2014

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  • Python 3.3.5rc1 — Feb. 23, 2014

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PyCharm

Скачать

Львиную долю своего рабочего времени программисты проводят в редакторах кода. В такой ситуации комфортность и удобство рабочей среды трудно переоценить. Конечно, писать код можно и в простейшем текстовом редакторе и сохранять в .html, но с продвинутым редактором это не сравнится. Особенно если редактор ориентирован на конкретный язык. Так как питон был и остается основным языком, используемым в Data Science, и именно ему мы уделяем особое внимание на наших курсах, делимся с вами переводом статьи, автор которой пишет о знакомых ему редакторах и о том, что он считает привлекательным в них.


Примечание автора: каждый упомянутый в этой статье редактор хорош по-своему. Список — это только краткое руководство, основанное на моем личном опыте. Одни редакторы могут нравиться вам больше других. В конце концов, выбор редактора или среды разработки за вами. Нет неправильного или правильного выбора.

1. Python IDLE

IDLE — редактор, поставляемый вместе с Python. Это базовый, упрощенный режим программирования на Python. Тем не менее, IDLE хороший редактор для начала программирования и понимания основ языка. В нем есть оболочка Python — интерактивный интерпретатор. Его возможности обширны: автозавершение кода, подсветка синтаксиса, подбор отступа и базовый встроенный отладчик.

Плюсы:

  • Легкий.
  • Подходит для начинающих.

Минусы:

  • Не подходит сложным проектам.
  • Не хватает продвинутых функций.

2. Sublime Text

Sublime Text — свободное программное обеспечение с широкой поддержкой сообщества. Редактор работает с несколькими языками программирования. В большинстве случаев можно использовать незарегистрированный Sublime Text, но время от времени вы будете получать всплывающее окно с просьбой зарегистрировать продукт и приобрести лицензию. Sublime Text тонко настраивается и дополняется пакетами для отладки, автозавершения кода, линтинга и т.д.

Плюсы:

  • Простой и по большей части бесплатный.
  • Тонко настраивается.
  • Компактный и эффективный.

Минусы:

  • Для удобства требует дополнительных пакетов.

3. Visual Studio Code

Visual Studio Code — бесплатный редактор кода от Microsoft для Windows, Linux и MacOS. Его возможности — отладка, подсветка синтаксиса, интеллектуальное завершение кода, предопределённые фрагменты кода, рефакторинг и интеграция с Git. Поддерживаются различные языки программирования. Для начала работы с Python может понадобиться несколько дополнительных пакетов, но установить их довольно просто. Редактор постоянно обновляется. Visual Studio Code — один из лучших редакторов не только для Python, но и для других языков программирования. Я часто пользуюсь VSC и очень рекомендую его.

Плюсы:

  • Это фантастическая платформа с непрерывными обновлениями.
  • Потребляет немного памяти по сравнению с другими громоздкими инструментами разработки.
  • Имеет встроенный терминал и прост в использовании.

Минусы:

  • Иногда терминал работает не так, как хотелось бы.

4. Jupyter Notebook

Jupyter Notebook — это веб-приложение с открытым исходным кодом, позволяющее создавать документы с выполняемым интерактивно кодом, уравнениями, визуализациями, простым текстом. Конечно, такими документами просто поделиться. Jupyter Notebook используется для очистки и преобразования данных, численного и статистического моделирования, визуализации данных, машинного обучение и многого другого. Этот редактор — хороший вариант для начала работы с наукой о данных и машинным обучением. Файлами можно поделиться с кем угодно, они помогают эффективнее работать с кодом. Я настоятельно рекомендую Jupyter Notebook, поскольку можно работать с каждым блоком кода отдельно. Также есть возможность использовать разметку. Среда Jupyter Notebook широко используется во многих успешных компаниях.

Плюсы:

  • Лучшая платформа для начала работы с наукой о данных.
  • Легко делиться файлами и визуализациями.
  • Разметка и другие дополнительные функции.

Минусы:

  • Нет мощных функций из некоторых IDE.

5. PyСharm

PyCharm — это интегрированная среда разработки специально для Python. Разработана чешской [прим. перев. — автор ориентируется на расположение головного офиса] компанией JetBrains. Редактор разработан специально для Python, так что имеет широкий набор возможностей, таких как автозавершение и инспекции кода, подсветка ошибок, исправления, отладка, система контроля версий и рефакторинг. IDE доступна на Microsoft Windows, Linux и MacOS. Есть бесплатная и платная профессиональная версии. Профессиональная IDE имеет несколько дополнительных функций, но бесплатной версии достаточно для большинства задач. Я настоятельно рекомендую PyCharm, если у вас есть как минимум 8 Гб оперативной памяти.

Плюсы IDE:

  • Имеет важные встроенные функции.
  • Разработана профессионалами специально для Python.
  • Поддерживает виртуальные среды Anaconda.

Минусы:

  • Основная проблема PyCharm: если у вас недорогой ПК или ноутбук и в нем нет 8 Гб оперативной памяти, то IDE немного притормаживает и работает довольно медленно.

6. Thonny

IDE Thonny предустановлена на системы Linux и системы на ее основе. Мой опыт работы с этим редактором в основном связан с Raspberry Pi. Это отличная, простая среда разработки для начинающих. Thonny хорошо подходит Raspberry Pi. Некоторые возможности: подсветка синтаксических ошибок, отладчик, автозавершение кода, пошаговое вычисление выражений.

Плюсы:

  • Интерактивная среда.
  • Подходит для начинающих.
  • Может использоваться для проектов Raspberry Pi.

Минусы:

  • Редактор склонен к проблемам.
  • Имеет не очень много возможностей.

7. Spyder

Spyder — это мощная научная интегрированная среда программирования, написанная на Python, для Python. Она разработана учеными, инженерами и аналитиками данных для них самих. Spyder обладает уникальным сочетанием возможностей. Продвинутое редактирование, анализ, отладка и профилирование сочетается с возможностями исследования данных, интерактивного выполнения, глубокой инспекции кода и красивой визуализацией. Установить Spyder просто: скачайте его как часть дистрибутива Anaconda. Разработчики рекомендуют последнюю 64-битную версию Python 3, если у вас нет особых требований.

Плюсы:

  • Бесплатный редактор, поставляется с Anaconda.
  • Хорошее рабочее окружение для просмотра интерпретаций и кодирования в два окна.
  • Широкий выбор опций исключительно для Python.

Минусы:

  • Немного старый интерфейс.

8. Atom

Эта IDE похожа на текстовый редактор Sublime. Она очень настраиваемая и поддерживает многие необходимые пакеты. У меня меньше опыта работы с этим редактором, поэтому я рекомендую скорее Sublime Text, чем Atom. Но перечислю некоторые часто используемые пакеты Atom для разработки на Python: autocomplete-python, linter-flake8, python-debugger.

Плюсы:

  • Работать с Atom легко.
  • Поддерживает Python после дополнительных установок.

Минусы:

  • Требуется дополнительный плагин для Python.
  • Больше подходит для работы с git.

9. VIM

Vim — это текстовый редактор, предустановленный в системах MacOS и UNIX. Большинство экспертов любят vim за развитые вычислительные возможности и легкую, компактную среду разработки. Он не рекомендуется начинающим, так как изучать его трудно. Можно добавить плагины подсветки синтаксиса, автозавершения кода, отладки, рефакторинга и другие к Vim и использовать его как Python IDE. [Прим. перев. На скриншоте GVim — версия Vim с графическим интерфейсом].

Плюсы:

  • Легкий.
  • Эффективный.
  • Производительный.

Минусы:

  • Нужно посвятить время изучению редактора, у него крутая кривая обучения.

10. Notepad++

Notepad++ — это редактор текста и исходного кода, работающий на Microsoft Windows. Поддерживается редактирование с вкладками, что позволяет работать с несколькими открытыми файлами в одном окне. Название проекта происходит от оператора инкремента языка С. Notepad++ распространяется как свободное программное обеспечение. Редактор поддерживает множество языков программирования и может быть полезным. На мой взгляд, есть и лучшие варианты. Кроме того, нужно установить дополнительные пакеты, чтобы сделать редактор функциональным для программирования на Python.

Плюсы:

  • Заменяет блокнот.
  • Может использоваться для нескольких языков программирования, включая Python.

Минусы:

  • Требуется дополнительная настройка и установки плагинов, чтобы работать с Python.
  • Не в топе рекомендаций: есть много вариантов получше.

11. Онлайн редакторы

На Programiz, tutorials point, w3schools и некоторых других сайтах есть редакторы с удивительными возможностями.

Плюсы:

  • Никаких дополнительных установок и настроек.
  • Простой код запускается без особых хлопот.

Минусы:

  • Не такие мощные, как IDE.

Это был длинный список. Я охватил почти все редакторы из моего опыта работы. Самое смешное: есть вероятность, что я многое упустил. Есть множество настраиваемых, удобных пользователям редакторов. Также сегодня существует множество облачных IDE именно в онлайне. GitHub работает над Codespaces — облачной версией VSCode. И Vim настраивается так гибко, что может иметь множество других плюсов и минусов.

Расскажите, в каком редакторе для Python вы пишете код и почему?

Узнайте больше здесь.

Получить востребованную профессию с нуля или Level Up по навыкам и зарплате можно, пройдя онлайн-курсы SkillFactory:

  • Курс «Python для веб-разработки»
  • Профессия Веб-разработчик
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Только зарегистрированные пользователи могут участвовать в опросе. Войдите, пожалуйста.

А какой из перечисленных редакторов вы считаете самым удобным для Python?


24.68%
Visual Studio Code
215


4.13%
Свой вариант (напишу в комментариях)
36

Проголосовал 871 пользователь.

Воздержались 188 пользователей.

Писать на Python, используя IDLE или Python Shell, вполне удобно, если речь идёт о простых вещах, однако с ростом размеров проектов программирование превращается в мучение. С помощью IDE или даже хорошего редактора кода можно значительно упростить себе жизнь. Но вот вопрос — что выбрать?

В этой статье мы пройдёмся по основным инструментам, позволяющим писать на Python. Мы не выберем за вас лучший вариант, но рассмотрим «за» и «против» каждого и поможем сделать взвешенное решение.

  1. Что такое IDE и редактор кода?
  2. Требования к хорошей среде разработки
  3. Редакторы и IDE с поддержкой Python
  4. Редакторы и среды разработки, написанные на Python
  5. Так какую Python IDE выбрать?

IDE (или интегрированная среда разработки) — это программа, предназначенная для разработки программного обеспечения. Как следует из названия, IDE объединяет несколько инструментов, специально предназначенных для разработки. Эти инструменты обычно включают редактор, предназначенный для работы с кодом (например, подсветка синтаксиса и автодополнение); инструменты сборки, выполнения и отладки; и определённую форму системы управления версиями.

Большинство IDE поддерживают множество языков программирования и имеют много функций, из-за чего могут быть большими, занимать много времени для загрузки и установки и требуют глубоких знаний для правильного использования.

С другой стороны, есть редакторы кода, которые представляют собой текстовый редактор с подсветкой синтаксиса и возможностями форматирования кода. Большинство хороших редакторов кода могут выполнять код и использовать отладчик, а лучшие даже могут взаимодействовать с системами управления версиями. По сравнению с IDE, хороший редактор кода, как правило, легковесней и быстрее, но зачастую ценой меньшей функциональности.

Требования к хорошей среде разработки

Итак, что нам нужно от среды разработки? Набор функций разных сред может отличаться, но есть набор базовых вещей, упрощающих программирование:

  1. Сохранение файлов. Если IDE или редактор не дают вам возможности сохранить работу и позже всё открыть в том же состоянии, в котором оно было во время закрытия, то не такая уж это и IDE.
  2. Запуск кода из среды. То же самое, если вам нужно выйти из среды для запуска кода, то это не более, чем простой текстовый редактор.
  3. Поддержка отладки. Возможность пошагово выполнить код является базовой функцией всех IDE и большинства хороших редакторов кода.
  4. Подсветка синтаксиса. Возможность быстро найти ключевые слова, переменные и прочее делает чтение и понимание кода на порядок проще.
  5. Автоматическое форматирование кода. Любой редактор или IDE, который действительно таковым является, распознает двоеточие после while или for выражения и автоматически сделает отступ на следующей строке.

Разумеется, есть множество других функций, от которых вы бы не отказались, но приведённые выше — основные функции, которыми должна обладать хорошая среда разработки.

А теперь давайте взглянем на некоторые инструменты общего назначения, которые можно использовать для разработки на Python.

Редакторы и IDE с поддержкой Python

Eclipse + PyDev

Тип: IDE
Сайт: www.eclipse.org
PyDev: www.pydev.org

Если вы близки с open-source сообществом, то вы наверняка слышали об Eclipse. Будучи доступным для Linux, Windows и OS X, Eclipse де-факто является open-source IDE для разработки на Java. Существует множество расширений и аддонов, которые делают Eclipse полезным для разного рода задач.

Одним из таких расширений является PyDev, предоставляющий интерактивную консоль Python и возможности для отладки и автодополнения кода. Установить его просто: запустите Eclipse, выберите Help → Eclipse Marketplace, затем найдите PyDev. Нажмите «Install» и при необходимости перезапустите Eclipse.

IDE Eclipse

Преимущества: если у вас уже был установлен Eclipse, то установка PyDev пройдёт быстро и гладко. У опытного пользователя Eclipse не возникнет проблем с изучением этого расширения.

Недостатки: если вы только начинаете изучать Python или разработку в целом, Eclipse может стать непосильной ношей. Помните, мы говорили, что IDE большие и требуют больше опыта для полноценного использования? Всё это можно сказать об Eclipse.

Sublime Text

Тип: редактор кода
Сайт: http://www.sublimetext.com

Sublime Text, написанный инженером из Google с мечтой о лучшем текстовом редакторе, является весьма популярным редактором кода. Доступный на всех платформах, Sublime Text имеет встроенную поддержку редактирования Python-кода, а также богатый набор расширений, называемых пакетами, которые расширяют возможности синтаксиса и редактирования.

Установить дополнительный Python-пакет может быть непросто — все пакеты Sublime Text написаны на Python, поэтому для установки пакетов сообщества зачастую может потребоваться выполнить Python-скрипт непосредственно в редакторе.

Sublime Text

Преимущества:у Sublime Text большое количество поклонников. Как редактор кода, Sublime Text быстрый, лёгкий и имеет хорошую поддержку.

Недостатки: Sublime Text не является бесплатным, хотя вы можете использовать пробный период сколько угодно. Установка расширений может превратиться в тот ещё квест. Кроме того, в редакторе нет поддержки отладки и запуска кода.

Atom

Тип: редактор кода
Сайт: https://atom.io/

Доступный на всех платформах Atom называют «хакабельным текстовым редактором 21 века». Atom написан с использованием Electron — фреймворка для создания кроссплатформенных приложений для десктопа средствами JavaScript, HTML и CSS — и имеет множество расширений. Поддержку Python можно также подключить с помощью расширения, которое можно установить прямо в Atom.

IDE Atom

Преимущества: поддержка на всех платформах благодаря Electron. Atom лёгкий и быстро скачивается и загружается.

Недостатки: поддержка сборки и отладки не встроенная, а добавляется с помощью расширений. Поскольку Atom написан с помощью Electron, он всегда работает как JavaScript-процесс, а не как нативное приложение.

GNU Emacs

Тип: редактор кода
Сайт: https://www.gnu.org/software/emacs/

Задолго до войны iPhone с Android, до войны Linux с Windows, даже до войны PC с Mac была война редакторов с GNU Emacs в качестве одного из участников военных действий. Описываемый как «расширяемый, настраиваемый, самодокументированный текстовый редактор», GNU Emacs существует почти столь же долго, сколько и UNIX, и успел завоевать немало поклонников.

Доступный бесплатно на каждой платформе (в той или иной форме) GNU Emacs использует язык Lisp для кастомизации. Само собой, для Python тоже найдутся скрипты кастомизации.

GNU Emacs

Преимущества: вы знакомы с Emacs, вы используете Emacs, вы любите Emacs. Lisp — ваш второй язык, и вы знаете, что с ним вы способны на всё.

Недостатки: кастомизация подразумевает написание (или копипасту) Lisp-кода в различные скрипты. Если таковых не имеется, то вам, возможно, придётся изучить Lisp, чтобы со всем разобраться.

Vi / Vim

Тип: редактор кода
Сайт: https://www.vim.org/

По другую сторону баррикад в войне редакторов находится VI/VIM. Доступный по умолчанию на почти каждой UNIX-системе и Mac OS X, VI завоевал не меньшее количество поклонников. VI и VIM — модальные редакторы, которые отделяют просмотр файла от его редактирования. VIM включает в себя всё, что есть в VI, плюс некоторые усовершенствования вроде доступности расширений. Для разного рода Python-задач можно воспользоваться VIMScripts.

Vim

Преимущества: вы знакомы с VI, вы используете VI, вы любите VI. VIMScripts вас не пугают, и вы знаете, как подчинить их своей воле.

Недостатки: как и в случае с Emacs, вам не очень удобно искать или писать скрипты для добавления возможности разработки под Python, и вы не имеете ни малейшего понятия, как вообще должен работать модальный редактор.

Visual Studio

Тип: IDE
Сайт: https://www.visualstudio.com/vs/
Python-расширение: Python Tools for Visual Studio, aka PTVS

Visual Studio — полнофункциональная IDE от Microsoft, которая во многом сопоставима с Eclipse. Доступная на Windows и Mac OS, Visual Studio представлена как в бесплатном (Community), так и в платном (Professional и Enterprise) вариантах. Visual Studio позволяет разрабатывать приложения для разных платформ и предоставляет свой собственный набор расширений.

Python Tools for Visual Studio (PTVS) позволяет писать на Python в Visual Studio и включает в себя Intellisense для Python, отладку и другие инструменты.

IDE Python Visual Studio

Преимущества: как и в случае с Eclipse, если у вас уже установлена Visual Studio для других задач, установка PTVS пройдёт без проблем.

Недостатки: как и в случае с Eclipse, Visual Studio будет многовато, если вам нужен только Python. Кроме того, если вы пользуетесь Linux, то вы в пролёте — Visual Studio для этой платформы нет.

Visual Studio Code

Тип: редактор кода
Сайт: https://code.visualstudio.com/
Python tools: https://marketplace.visualstudio.com/items?itemName=ms-python.python

Visual Studio Code (не путать с Visual Studio) — полнофункциональный редактор кода, доступный на Windows, Linux и Mac OS X. VS Code является расширяемым open-source редактором, который можно настроить под любую задачу. Как и Atom, VS Code построен на Electron, поэтому у него есть те же преимущества и недостатки.

Добавить поддержку Python в VS Code проще простого — выполните поиск по запросу «Python» в Marketplace, нажмите «Install» и перезапустите редактор, если потребуется. VS Code автоматически определит интерпретатор Python и установленные библиотеки.

Visual Studio Code

Преимущества: благодаря Electron, VS Code доступен на всех платформах с удивительно большой функциональностью. Кроме того, исходники можно найти в открытом доступе.

Недостатки: раз замешан Electron, значит VS Code не нативное приложение. Кроме того, некоторым людям религия не позволяет пользоваться продуктами Microsoft.

Редакторы и среды разработки, написанные на Python

PyCharm

Тип: IDE
Сайт: https://www.jetbrains.com/pycharm/

Одной из лучших полнофункциональных IDE, предназначенных именно для Python, является PyCharm. Существует как бесплатный open-source (Community), так и платный (Professional) варианты IDE. PyCharm доступен на Windows, Mac OS X и Linux.

PyCharm «из коробки» поддерживает разработку на Python напрямую — откройте новый файл и начинайте писать код. Вы можете запускать и отлаживать код прямо из PyCharm. Кроме того, в IDE есть поддержка проектов и системы управления версиями.

IDE Python PyCharm

Преимущества: это среда разработки для Python с поддержкой всего и вся и хорошим коммьюнити. В ней «из коробки» можно редактировать, запускать и отлаживать Python-код.

Недостатки: PyCharm может медленно загружаться, а настройки по умолчанию, возможно, придётся подкорректировать для существующих проектов.

Spyder

Тип: IDE
Сайт: https://github.com/spyder-ide/spyder

Spyder — open-source IDE для Python, оптимизированная для data science. Spyder идёт в комплекте с менеджером пакетов Anaconda, поэтому вполне возможно, что он у вас уже установлен.

Что в Spyder интересно, так это то, что его целевой аудиторией являются data scientist’ы, использующие Python. Например, Spyder хорошо взаимодействует с такими библиотеками для data science, как SciPy, NumPy и Matplotlib.

Spyder обладает той функциональностью, которую вы можете ожидать от стандартной IDE, вроде редактора кода с подсветкой синтаксиса, автодополнения кода и даже встроенного обозревателя документации.

Отличительной особенностью Spyder является наличие проводника переменных. Он позволяет просмотреть значения переменных в форме таблицы прямо внутри IDE. Также хорошо работает интеграция с IPython/Jupyter.

Про Spyder можно сказать, что он более «приземлённый», чем другие IDE. Его можно рассматривать как инструмент для определённой цели, а не как основную среду разработки. Что в нём хорошо, так это, что он бесплатный, open-source и доступный на Windows, macOS и Linux.

Spyder

Преимущества: вы data scientist, который пользуется Anaconda.

Недостатки: более опытные разработчики на Python могут найти Spyder недостаточно функциональным для повседневной работы и сделают свой выбор в пользу более функциональной IDE или редактора.

Thonny

Тип: IDE
Сайт: http://thonny.org/

Thonny называют IDE для новичков. Написанный и поддерживаемый Институтом информатики Тартуского университета в Эстонии, Thonny доступен на всех основных платформах.

По умолчанию Tonny устанавливается с версией Python, идущей в комплекте, поэтому вам  не понадобится устанавливать ещё что-нибудь. Продвинутым пользователям, возможно, придётся изменить эту настройку, чтобы IDE нашла и использовала уже установленные библиотеки.

Thonny

Преимущества: вы начинающий Python-программист и вам нужна IDE, с которой можно сразу идти в бой.

Недостатки: продвинутым пользователям будет недостаточно функциональности, а встроенный интерпретатор они заменят. Кроме  того, учитывая новизну IDE, могут возникнуть проблемы, решения которых на данный момент нет.

Так какую Python IDE выбрать?

Решать только вам, но вот пара рекомендаций:

  • Начинающим питонистам следует взять что-то с наименьшими возможностями кастомизации. Чем меньше препятствий, тем лучше;
  • Если вы уже пользуетесь каким-нибудь редактором для других задач, то посмотрите в сторону редакторов кода;
  • Ну а если у вас уже стоит IDE для другого языка, то попробуйте добавить в неё поддержку Python.

Смотрите также подборку материалов по Python для начинающих. Интересуетесь ещё и вебом? Тогда загляните в нашу аналогичную подборку IDE для веб-разработки.

Перевод статьи «Python IDEs and Code Editors (Guide)»

Python очень популярный язык программирования. Благодаря открытому исходному коду и использованию в качестве скриптового языка, языка веб программирования, мобильных и настольных приложений. Все это возможно благодаря безграничным опциям модулей Python. При написании кода в Python, интегрирования модулей и библиотек для построения больших систем, текстового редактора недостаточно, нам нужна хорошо интегрированная среда разработки для этих целей. Мы провели небольшое исследование и составили следующий список лучших IDE для Python (начиная с лучшего):

PyCharm

10 Лучших IDE для Python

Сайт: https://www.jetbrains.com/pycharm/

  • Создатель JetBrains
  • Закрытый исходник
  • Поддержка Windows, MacOS и Linux

Разработан под Python, Javascript, Coffeescript, Typescript, HTML/CSS, AngularJS, Node.js и другие языки. Возможности интегрированного модульного тестирования, проверки кода, интегрированного контроля версий, инструменты рефакторинга кода, набор инструментов для навигации проекта, выделения и автоматического завершения. Поддержка ряда сторонних фреймворков для веб-разработки, таких как Django, Pyramid, web2py, Google App Engine и Flask, что делает его универсальной IDE для быстрой разработки приложений.

PyDev

10 Лучших IDE для Python

Сайт: http://www.pydev.org/

  • Плагин Python для Eclipse
  • Поддерживается всеми известными операционными системами
  • Источники в свободном доступе по публичной лицензии Eclipse
  • Обработка доработки кода, интеграция отладки Python, добавление токен-браузера, инструменты рефакторинга и многое другое
  • Возможность создания новых проектов Django, выполнение команд Django при помочи горячих клавиш и использование отдельной конфигурации запуска только для Django.

WingWare

10 Лучших IDE для Python

Сайт: https://wingware.com/

  • Отличный IDE, разработанный WingWare
  • Поддержка Windows, Linux и MacOS
  • Это закрытый исходник

Содержит мощный инструмент отладки, который позволяет устанавливать контрольные точки, возможность пошагового выполнения кода, проверка данных, удаленная отладка и отладка шаблонов Django. Поддержка matplotlib, с автоматическим обновлением графиков. Также предоставляется доработка кода, подсветка синтаксиса, исходный браузер, графический отладчик и поддержка систем управления версиями.

Komodo IDE

10 Лучших IDE для Python

Сайт: https://www.activestate.com/komodo-ide

  • IDE для динамических языков, таких как Python, PHP и RUBY
  • Поддержка Windows, MacOS и Linux
  • Закрытый исходник с собственной лицензией

Поддержка Django: подсветка синтаксиса и завершение кода для шаблонов (кстати, я так и не столкнулся с ситуацией, где это было бы применимо). Содержит базовые функции, такие как рефакторинг кода, автозаполнение, calltips, сопоставление скобок, браузер кода, переход к определению, графическая отладка, многопроцессная отладка, многопоточная отладка, конфигурация точки остановки, профилирование кода, интеграция с тестируемым юнитом и интеграция со сторонними библиотеками, такими как pyWin32. Также в наличии такие функции как интеграция менеджера пакетов, отслеживание изменений, инструмент просмотра заметок, быстрые закладки, переход ко всему (Commando) и многое другое.

Eric

10 Лучших IDE для Python

Сайт: https://eric-ide.python-projects.org/

  • IDE и по совместительству редактор Python от Detlev Offenbach.
  • С открытым кодом
  • Поддержка Windows

Содержит такие функции как отладчик Python и Ruby, покрытие кода, автоматическая проверка кода, оболочка Python и Ruby, браузер класса и многое другое. Также имеются функции для совместного редактирования. Диалоги Regex и Qt, опции для создания сторонних приложений прямо в редакторе, диаграммы приложения, возможности управления проектами, а также интерактивная оболочка Python. Многоязычный пользовательский интерфейс, который включает в себя Английский, Немецкий, Русский, Французский, Испанский, Итальянский, Турецкий и Китайский языки, контроль версии для Subversion, Mercurial и Git, использование объявлений в плагинах, и многое другое.

Eclipse

10 Лучших IDE для Python

Сайт: https://eclipse.org/

  • Платформа общего назначения
  • Поддержка всеми операционными системами
  • Открытый код и поддержка всех ведомых языков
  • Великое множество плагинов

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Geany

10 Лучших IDE для Python

Сайт: https://www.geany.org/

  • Доступно по лицензии GPL
  • Поддержка Linux, Windows и OSX
  • Поддержка сопоставления скобок, встроенный отладчик, автозаполнение и поддержка нескольких языков
  • Плагин поддержки

Spyder

10 Лучших IDE для Python

Исходный код: https://github.com/spyder-ide/spyder

  • IDE с открытым кодом для Python
  • Находится в свободном доступе под лицензией MIT

Содержит такие функции как многоязычный редактор, интерактивная консоль, просмотр документации, обозреватель переменных, поисковик файлов, поисковик в файлах, и многое другое. Хотя Spyder и является автономным IDE, который поддерживается множеством платформ, такими как Windows, Linux, Mac Os, Mac OS X, он также может быть использован в качестве библиотеки расширения PyQt и может быть встроен в приложения PyQt5.

PyScripter

10 Лучших IDE для Python

Сайт: https://sourceforge.net/projects/pyscripter/

  • Находящийся в свободном доступе бесплатный IDE для Python, разработанный Kiriakos Vlahos.
  • Поддержка Windows
  • Поддержка проектов, редактирования файлов и отладки
  • Различные инструменты редактирования
  • Утилиты исходного кода Python

Python-IDLE

10 Лучших IDE для Python

Часть стандартной библиотеки Python.
Весьма полезно при работе с небольшими фрагментами Python и экспериментами с различными функциями в Python.

Являюсь администратором нескольких порталов по обучению языков программирования Python, Golang и Kotlin. В составе небольшой команды единомышленников, мы занимаемся популяризацией языков программирования на русскоязычную аудиторию. Большая часть статей была адаптирована нами на русский язык и распространяется бесплатно.

E-mail: vasile.buldumac@ati.utm.md

Образование
Universitatea Tehnică a Moldovei (utm.md)

  • 2014 — 2018 Технический Университет Молдовы, ИТ-Инженер. Тема дипломной работы «Автоматизация покупки и продажи криптовалюты используя технический анализ»
  • 2018 — 2020 Технический Университет Молдовы, Магистр, Магистерская диссертация «Идентификация человека в киберпространстве по фотографии лица»

Table of Contents

Launched in 1991 by creator Guido van Rossum, Python was developed with an emphasis on code readability via syntax that allows developers to create more with fewer lines of code. This is why if you’re new to programming, it is often recommended that you start with Python. And if you’re looking to boost your productivity when developing Python code, you’ll want the best Python IDE or Python editor.

The Python language has evolved enormously over the years thanks to the contribution of Python developers and programmers worldwide. It’s now one of the most widely used programming languages with a huge range of packages, libraries, and frameworks. 

Python is a versatile language that can be used for various applications including Blender (3D modeling software), machine learning/artificial intelligence, and web development to name a few. As Python is often used for scripting, lightweight text editors like notepad++ or even plain notepad can be useful Python tools.

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Python interpreters are available on most operating systems including Linux, macOS, and Windows. If you plan to work on larger projects, we recommend a dedicated code editor or an integrated development environment (IDE). Python IDEs and Python code editors offer their own distinct features and user interfaces.

In this article, we will cover some of the most popular Python IDEs and Python editors, taking into account their pros, cons, and use cases. Many of also these offer free tiers, so you’ll be able to choose the best free IDE for Python if you’re just starting out. 

Featured Python IDEs & Editors

Pycharm: Hugely popular, powerful, and feature-rich Python IDE. Learn more

Visual Studio Code: Lightweight and extensible code editor. Learn more

Jupyter Notebook: Data Science IDE, easily run simulations and share data. Learn more

Looking to master Python? The Complete Python Bootcamp from Udemy could be a great stepping stone for you. Also check out our article on the best Python courses to help you on your way to becoming a Python expert.

Before moving on, let’s first dig into what IDEs and code editors are, and then we’ll discuss the requirements for these Python tools to create a good development environment.

What are IDEs and Code Editors?

Whether you’re a college freshman taking your first CS course, or a Staff Software Engineer, you need an IDE or a code editor to efficiently edit, read, and debug code.

Recommend Python Course

Complete Python Bootcamp From Zero to Hero in Python

An integrated development environment (IDE) is a software application that helps programmers to develop software efficiently. It increases developer productivity by combining common developer tools such as software editing, building, testing, debugging, and packaging in one easy-to-use graphical user interface (GUI). Other popular features include code refactoring, code search, code auto-completion, and continuous integration/continuous deployment (CI/CD).

An IDE can also provide many more features and these generally vary with each IDE. 

While code editors are similar to text editors, they are designed to both ease and speed up code development via sophisticated built-in capabilities and functionalities. Sometimes code editors can be mistaken for IDEs, but the main difference between the two is that IDEs provide more powerful tools to simplify the coding process.

10 Best Python IDE & Python Code Editors

To help you choose the best Python IDE or code editor, we’ve done some extensive research to put a list together of the ten top Python IDEs and Python code editors based on popularity, functionality, number of users, and user feedback. We’ve also made sure to include IDEs and editors in this list that cater to both beginners and professional developers.

To make sure each of the IDEs and editors were up to the task, we took the time to put them through their paces. This included installing each on a Windows, macOS, and Linux platform, and then running a range of Python scripts from small individual files, to multi-folder packages. This helped us to confirm that each of the options in this list were up to the task that they’d been designed for — whether that’s to assist beginner developers or allow professionals to level up their day-to-day coding experience.

1. Pycharm

Pycharm

Platform: Linux/macOS/Windows

Official website: https://www.jetbrains.com/pycharm/

Type: IDE

Developed by JetBrains, Pycharmis one of the most popular Python IDEs. With productivity tools like quick and safe code refactoring, Pycharm really stands out from the competition. It is available in three versions: Apache-licensed Community version, Educational (Edu) version, and proprietary Professional version. The first two versions are open source and free of charge, but you’ll have to pay for the Professional version.

The free Community version is great for beginners as it offers a variety of features such as syntax highlighting, auto-completion, and live code verification. The paid version offers advanced features like full database management along with a range of specific frameworks and web development tools.

Advantages:

  • Active community support
  • Lots of useful plugins and productivity shortcuts
  • Executes, edits, and debugs Python code without any external requirements

Disadvantages:

  • Professional version is rather expensive
  • Free tier offers less functionality than the paid versions
  • Community version does not allow other programming languages to be used

2. Pydev

Platform: GNU/Linux/macOS/Windows/Solaris

Official website: https://www.eclipse.org/; http://pydev.org/

Type: IDE

Eclipse is a free IDE that was historically designed for the Java language. Still, thanks to a system of plugins or extensions, you can use it with other languages, including Python.

You’ll need the Pydev plugin to use Eclipse as a Python IDE, which then allows you to develop in Python, Jython, or IronPython. Pydev also uses advanced inference techniques to provide features like auto-completion and code analysis.

As one of the best IDEs for Python, Eclipse also provides these features: debugger, Django, interactive console, basic syntax highlighting, code coverage, and more. 

Advantages:

  • Easy to learn and feature-rich
  • Has a large and active community

Disadvantages:

  • User interface is not very less modern
  • Plugins can be unstable

3. IDLE

Platform: Linux/macOS/Windows

Official website:https://docs.python.org/3/library/idle.html

Type: IDE

IDLE, or Integrated Development and Learning Environment, is a free IDE that comes bundled with any Python installation. It allows you to edit, run, and debug Python code in a simple Python shell and code editor environment, making it great for beginners. 

As a cross-platform IDE, it is available on Windows, LInux, and MacOS. IDLE consists of a multi-window text editor with syntax highlighting and an integrated debugger that offers stepping, persistent breakpoints, and call stack visibility.

Advantages

  • User-friendly for beginners
  • Offers features like syntax highlighting, search, auto-completion, & smart indent
  • Integrated debugger with stepping & breakpoint features

Disadvantages:

  • May be too simple for some
  • Not suitable for large projects
  • Lacks the advanced features offered by other IDEs

4. Visual Studio Code (VS Code)

Visual Studio Code

Platform: Linux/macOS/Windows

Official website:https://code.visualstudio.com

Type: Code Editor

Developed by Microsoft for Windows, Linux and macOS, VS Code is a free and extensible code editor (not to be confused with Visual Studio). VS Code is a small but comprehensive open source code editor with an MIT license. It supports several programming languages, including Python after you install an extension. VS Code is relatively lightweight and comes with many useful features like syntax highlighting, code auto-completion, Git integration, and advanced code debugging. If you’re looking for a lightweight, fast, and customizable Python code editor, it’s a great choice.

One of the main advantages of VS Code is a design that makes great use of an extension-based architecture. Being lightweight, it can be easily extended by adding new components when they’re needed.

Advantages:

  • Advanced customization with 30,000+ extensions in circulation
  • Powerful code management engine
  • You can import keyboard shortcuts from Python editors like Sublime Text or Atom

Disadvantages:

  • Initial customization can be overwhelming/difficult due to the quantity of available extensions
  • Extensions can be unreliable at times

5. Sublime Text

Sublime Text

Platform: Linux/macOS/Windows

Official website:http://www.sublimetext.com/

Type: Code Editor

First conceived as an extension for Vim, Sublime Text is a generic text editor written in C++ and Python code. Since the launch of version 2.0, it supports 44 major programming languages, including Python. Sublime Text requires a paid license, but there is an option to evaluate the code editor for free (and without an enforced time limit!).

After installing Sublime Text, thanks to its different plugins and packages, you get a high-quality and powerful tool that is one of the best Python editors to help you with your development. It also incorporates most of the features you’d expect from a basic Python IDE, including customizable syntax highlighting.

Advantages:

  • Fast, with very few bugs (big advantage)
  • Offers a variety of customization with plugins
  • Supports many languages

Disadvantages:

  • License required
  • Plugins can be confusing/difficult to install
  • Steep learning Curve

6. Jupyter Notebook

Jupyter Notebook

Platform: Linux/macOS/Windows

Official website: https://jupyter.org/

Type: IDE

Jupyter notebook is a free and open source IDE that is used to create Jupyter documents. Uniquely, it is a web-based IDE that allows you to easily share your work.

Jupyter Notebook is very popular among data scientists as it’s great for machine learning, simulations, data visualizations, data analysis, and also for sharing and presenting findings. Jupyter is ready to work right out of the box, requiring little to no configuration. This makes it a perfect tool for quick Python scripting.

Advantages:

  • Easy to use and learn
  • Supports 40+ different languages
  • Easy to share work

Disadvantages:

  • Mostly suited to development in the fields of data and scientific computing
  • Lacks advanced features offered by other IDEs
  • Coding within independent cells may be difficult to manage as the cell count increases

7. Spyder

Spyder

Platform: Linux/macOS/Windows

Official website:https://github.com/spyder-ide/spyder

Type: IDE

The Python scientific community has been maintaining Spyder since 2012. With basic features like syntax highlighting and auto-completion, Spyder also integrates several scientificlibraries like Matplotlib,NumPy, IPython, and SciPy. It is free, multi-platform, open-source, and the installation is very easy with a Python package manager like Pip.

Spyder offers a unique combination of advanced analysis, debugging, editing, interactive execution, in-depth inspection, and visualization capabilities that are comparable to scientific software packages. Its main components are the interactive console, the documentation viewer, the variable explorer, and development tools. These features make Spyder one of the best IDEs for Python code in scientific development.

Advantages:

  • Community support
  • Rich set of development tools
  • Comprehensive documentation

Disadvantages:

  • Execution dependencies
  • Optional dependencies
  • Steep learning curve

8. Wing

Wing

Platform: Linux/macOS/Windows

Official website: https://wingware.com/

Type: IDE

Wing is a Python IDE that was specifically designed to provide a more productive development experience in Python. It offers a strong range of features including code feedback, syntax highlighting, code auto-completion, smart refactoring, and more.

Wing has three pricing tiers: Wing Pro (paid), Wing Personal (free), and Wing 101 (free). As a scaled-back version of Wing Personal, Wing 101 was originally designed for teaching entry-level computer science courses which makes it one of the best IDEs for Python beginners. As you’d expect, Wing Pro (the paid version) is the most feature-rich of the available options.

Advantages:

  • Customizable and extensible
  • Powerful debugger
  • Feature-rich

Disadvantages:

  • Minimal support for languages that aren’t Python-based
  • Wing Pro can be expensive, and it has to be renewed annually
  • UI is a little outdated

9. GNU/Emacs

GNU

Platform: Linux/macOS/Windows

Official website:https://www.gnu.org

Type: Text editor

GNU Emacs is a feature-rich text editor that is highly customizable via various extensions and it’s available to download for free on all platforms.

For Python development, you can use the Elpy extension This is a feature rich Emacs extension for working with Python projects. Among its many features, we have to mention syntax highlighting that differentiates document elements such as keywords and comments, and automatic indentation which ensures consistent formatting throughout your file.

Advantages:

  • Free and fully customizable
  • Fully navigable via keyboard bindings (but you don’t have to)
  • 24-bit color encoded support for terminals that support this

Disadvantages:

  • Steep learning curve
  • Documentation may be out of date

10. Thonny

Thonny

Platform: Linux/macOS/Windows

Official website:https://thonny.org

Type: IDE

Thonny is advertised as the Python IDE for beginners. Designed to make life easier for new Python developers, Thonny is a simple and lightweight IDE with excellent features that is free of charge. This makes it one of the best IDES for Python beginners that want to start developing in a simple environment, but less so for expert Python developers that want more from their next Python IDE.

With a UI that is isolated from features that may distract beginners, Thonny is a well-thought-out pedagogical IDE for beginners who want to develop in Python quickly, easily, and simply.

Advantages:

  • IDE adapted for beginners’ learning
  • Basic and functional user interface
  • Easy to get started (comes with Python built-in)

Disadvantages:

  • Not for the experienced developer
  • Lacks advanced features offered by other IDEs

How to choose the best Python IDE in 2023?

For beginners, there are several Python IDEs that allow you to build a comfort level with the environment as you become steadily familiar with each feature.

For ease of installation, IDLE is a strong choice for beginners as it’s bundled with Python on your system. If you’d like to explore other options, Thonny and Wing 101 are excellent choices as they’ve both been designed with beginners in mind.

But if you’d like to code in a more professional environment, you could consider Pycharm as your next IDE, or if you’d prefer portability, VS Code is a solid choice as one of the best Python code editors.

Experienced and professional developers find themselves spoilt for choice. If you’re after an IDE that offers strong performance with larger projects, then Pycharm or PyDev (Eclipse) are popular options. Similarly, VS Code is often chosen when a code editor is preferred.

If you’re part of the ever-expanding data science community then Jupyter should be at the top of your list. Equally, Spyder is one of the best python ides for scientific computing, so this may be a good choiceif your development aligns with its strengths.

Then again, perhaps you’re a little more ‘old school’ and you’d prefer the look and feel of GNU/Emacs or Sublime, both of which are very popular with Linux developers.

Free Python IDE

Python IDE for Mac

Python IDE for Windows

  • Pycharm
  • PyDev 
  • Visual Studio Code
  • Jupyter Notebook
  • Spyder
  • Thonny
  • PyDev 
  • Pycharm
  • Visual Studio Code
  • Jupyter Notebook
  • Spyder
  • Wing
  • Thonny
  • PyDev
  • Pycharm
  • Visual Studio Code
  • Jupyter Notebook
  • Spyder
  • Wing
  • Thonny

Conclusion

Python is one of the most well-known languages and perhaps even the most popular. If you’re looking for the best Python IDE to boost your productivity, you have a multitude of useful, practical, and powerful Python IDEs to choose from, be they paid options or free. Equally, if you prefer a lightweight code editor, there’s plenty to choose from in both the free and paid tiers.

If you’re a Python beginner then the Complete Python Bootcamp course is a great place to start your beginner-to-expert Python developer journey.

Frequently Asked Questions

1. What Is the Best IDE for Python?

The best Python IDE is that which enhances your coding experience and productivity by the greatest margin. If you’re a beginner, then it may be good to start with IDLE, Thonny or Wing 101. If you’re an experienced developer, you can choose any of the IDEs we’ve covered, but the most popular choices tend to be Pycharm for an IDE and VS Code for a code editor.

2. Which is the Best Python IDE for Beginners?

Several Python IDEs have been designed with beginners in mind. These let you build a comfort level with the environment as you become familiar with each feature. IDLE is a good choice as it’s installed with Python. Thonny and Wing 101 are also excellent choices as they offer simple UIs that were designed for beginner developers. Pycharm’s free tier is also one of the best Python environments for beginners.

3. What Is the Official IDE for Python?

There is no official IDE for Python per se. IDLE is bundled with Python, so it could be viewed as the official IDE, but the Python developer community is open-minded and collaborative, meaning that there’s extensive user support and feedback for each of the Python IDEs we’ve covered. 

4. Which Python IDE Should I Use for Machine Learning?

Jupyter is a popular choice for machine learning developers as it offers ease of use with running simulations and sharing results with others. Similarly, Spyder is popular with the data science community due to its extensive scientific computing features and library integration. However, any of the IDEs we’ve covered can be used for machine learning if you’ve installed the necessary libraries.

People are also reading:

  • What is Pycharm?
  • Python Programming Language
  • Python Best Courses
  • Best Python Libraries
  • Best Python Courses
  • Best Python Certifications
  • Best Python Books
  • Top Python Projects
  • Top Python Interview Questions

Table of Contents

Launched in 1991 by creator Guido van Rossum, Python was developed with an emphasis on code readability via syntax that allows developers to create more with fewer lines of code. This is why if you’re new to programming, it is often recommended that you start with Python. And if you’re looking to boost your productivity when developing Python code, you’ll want the best Python IDE or Python editor.

The Python language has evolved enormously over the years thanks to the contribution of Python developers and programmers worldwide. It’s now one of the most widely used programming languages with a huge range of packages, libraries, and frameworks. 

Python is a versatile language that can be used for various applications including Blender (3D modeling software), machine learning/artificial intelligence, and web development to name a few. As Python is often used for scripting, lightweight text editors like notepad++ or even plain notepad can be useful Python tools.

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Python interpreters are available on most operating systems including Linux, macOS, and Windows. If you plan to work on larger projects, we recommend a dedicated code editor or an integrated development environment (IDE). Python IDEs and Python code editors offer their own distinct features and user interfaces.

In this article, we will cover some of the most popular Python IDEs and Python editors, taking into account their pros, cons, and use cases. Many of also these offer free tiers, so you’ll be able to choose the best free IDE for Python if you’re just starting out. 

Featured Python IDEs & Editors

Pycharm: Hugely popular, powerful, and feature-rich Python IDE. Learn more

Visual Studio Code: Lightweight and extensible code editor. Learn more

Jupyter Notebook: Data Science IDE, easily run simulations and share data. Learn more

Looking to master Python? The Complete Python Bootcamp from Udemy could be a great stepping stone for you. Also check out our article on the best Python courses to help you on your way to becoming a Python expert.

Before moving on, let’s first dig into what IDEs and code editors are, and then we’ll discuss the requirements for these Python tools to create a good development environment.

What are IDEs and Code Editors?

Whether you’re a college freshman taking your first CS course, or a Staff Software Engineer, you need an IDE or a code editor to efficiently edit, read, and debug code.

Recommend Python Course

Complete Python Bootcamp From Zero to Hero in Python

An integrated development environment (IDE) is a software application that helps programmers to develop software efficiently. It increases developer productivity by combining common developer tools such as software editing, building, testing, debugging, and packaging in one easy-to-use graphical user interface (GUI). Other popular features include code refactoring, code search, code auto-completion, and continuous integration/continuous deployment (CI/CD).

An IDE can also provide many more features and these generally vary with each IDE. 

While code editors are similar to text editors, they are designed to both ease and speed up code development via sophisticated built-in capabilities and functionalities. Sometimes code editors can be mistaken for IDEs, but the main difference between the two is that IDEs provide more powerful tools to simplify the coding process.

10 Best Python IDE & Python Code Editors

To help you choose the best Python IDE or code editor, we’ve done some extensive research to put a list together of the ten top Python IDEs and Python code editors based on popularity, functionality, number of users, and user feedback. We’ve also made sure to include IDEs and editors in this list that cater to both beginners and professional developers.

To make sure each of the IDEs and editors were up to the task, we took the time to put them through their paces. This included installing each on a Windows, macOS, and Linux platform, and then running a range of Python scripts from small individual files, to multi-folder packages. This helped us to confirm that each of the options in this list were up to the task that they’d been designed for — whether that’s to assist beginner developers or allow professionals to level up their day-to-day coding experience.

1. Pycharm

Pycharm

Platform: Linux/macOS/Windows

Official website: https://www.jetbrains.com/pycharm/

Type: IDE

Developed by JetBrains, Pycharmis one of the most popular Python IDEs. With productivity tools like quick and safe code refactoring, Pycharm really stands out from the competition. It is available in three versions: Apache-licensed Community version, Educational (Edu) version, and proprietary Professional version. The first two versions are open source and free of charge, but you’ll have to pay for the Professional version.

The free Community version is great for beginners as it offers a variety of features such as syntax highlighting, auto-completion, and live code verification. The paid version offers advanced features like full database management along with a range of specific frameworks and web development tools.

Advantages:

  • Active community support
  • Lots of useful plugins and productivity shortcuts
  • Executes, edits, and debugs Python code without any external requirements

Disadvantages:

  • Professional version is rather expensive
  • Free tier offers less functionality than the paid versions
  • Community version does not allow other programming languages to be used

2. Pydev

Platform: GNU/Linux/macOS/Windows/Solaris

Official website: https://www.eclipse.org/; http://pydev.org/

Type: IDE

Eclipse is a free IDE that was historically designed for the Java language. Still, thanks to a system of plugins or extensions, you can use it with other languages, including Python.

You’ll need the Pydev plugin to use Eclipse as a Python IDE, which then allows you to develop in Python, Jython, or IronPython. Pydev also uses advanced inference techniques to provide features like auto-completion and code analysis.

As one of the best IDEs for Python, Eclipse also provides these features: debugger, Django, interactive console, basic syntax highlighting, code coverage, and more. 

Advantages:

  • Easy to learn and feature-rich
  • Has a large and active community

Disadvantages:

  • User interface is not very less modern
  • Plugins can be unstable

3. IDLE

Platform: Linux/macOS/Windows

Official website:https://docs.python.org/3/library/idle.html

Type: IDE

IDLE, or Integrated Development and Learning Environment, is a free IDE that comes bundled with any Python installation. It allows you to edit, run, and debug Python code in a simple Python shell and code editor environment, making it great for beginners. 

As a cross-platform IDE, it is available on Windows, LInux, and MacOS. IDLE consists of a multi-window text editor with syntax highlighting and an integrated debugger that offers stepping, persistent breakpoints, and call stack visibility.

Advantages

  • User-friendly for beginners
  • Offers features like syntax highlighting, search, auto-completion, & smart indent
  • Integrated debugger with stepping & breakpoint features

Disadvantages:

  • May be too simple for some
  • Not suitable for large projects
  • Lacks the advanced features offered by other IDEs

4. Visual Studio Code (VS Code)

Visual Studio Code

Platform: Linux/macOS/Windows

Official website:https://code.visualstudio.com

Type: Code Editor

Developed by Microsoft for Windows, Linux and macOS, VS Code is a free and extensible code editor (not to be confused with Visual Studio). VS Code is a small but comprehensive open source code editor with an MIT license. It supports several programming languages, including Python after you install an extension. VS Code is relatively lightweight and comes with many useful features like syntax highlighting, code auto-completion, Git integration, and advanced code debugging. If you’re looking for a lightweight, fast, and customizable Python code editor, it’s a great choice.

One of the main advantages of VS Code is a design that makes great use of an extension-based architecture. Being lightweight, it can be easily extended by adding new components when they’re needed.

Advantages:

  • Advanced customization with 30,000+ extensions in circulation
  • Powerful code management engine
  • You can import keyboard shortcuts from Python editors like Sublime Text or Atom

Disadvantages:

  • Initial customization can be overwhelming/difficult due to the quantity of available extensions
  • Extensions can be unreliable at times

5. Sublime Text

Sublime Text

Platform: Linux/macOS/Windows

Official website:http://www.sublimetext.com/

Type: Code Editor

First conceived as an extension for Vim, Sublime Text is a generic text editor written in C++ and Python code. Since the launch of version 2.0, it supports 44 major programming languages, including Python. Sublime Text requires a paid license, but there is an option to evaluate the code editor for free (and without an enforced time limit!).

After installing Sublime Text, thanks to its different plugins and packages, you get a high-quality and powerful tool that is one of the best Python editors to help you with your development. It also incorporates most of the features you’d expect from a basic Python IDE, including customizable syntax highlighting.

Advantages:

  • Fast, with very few bugs (big advantage)
  • Offers a variety of customization with plugins
  • Supports many languages

Disadvantages:

  • License required
  • Plugins can be confusing/difficult to install
  • Steep learning Curve

6. Jupyter Notebook

Jupyter Notebook

Platform: Linux/macOS/Windows

Official website: https://jupyter.org/

Type: IDE

Jupyter notebook is a free and open source IDE that is used to create Jupyter documents. Uniquely, it is a web-based IDE that allows you to easily share your work.

Jupyter Notebook is very popular among data scientists as it’s great for machine learning, simulations, data visualizations, data analysis, and also for sharing and presenting findings. Jupyter is ready to work right out of the box, requiring little to no configuration. This makes it a perfect tool for quick Python scripting.

Advantages:

  • Easy to use and learn
  • Supports 40+ different languages
  • Easy to share work

Disadvantages:

  • Mostly suited to development in the fields of data and scientific computing
  • Lacks advanced features offered by other IDEs
  • Coding within independent cells may be difficult to manage as the cell count increases

7. Spyder

Spyder

Platform: Linux/macOS/Windows

Official website:https://github.com/spyder-ide/spyder

Type: IDE

The Python scientific community has been maintaining Spyder since 2012. With basic features like syntax highlighting and auto-completion, Spyder also integrates several scientificlibraries like Matplotlib,NumPy, IPython, and SciPy. It is free, multi-platform, open-source, and the installation is very easy with a Python package manager like Pip.

Spyder offers a unique combination of advanced analysis, debugging, editing, interactive execution, in-depth inspection, and visualization capabilities that are comparable to scientific software packages. Its main components are the interactive console, the documentation viewer, the variable explorer, and development tools. These features make Spyder one of the best IDEs for Python code in scientific development.

Advantages:

  • Community support
  • Rich set of development tools
  • Comprehensive documentation

Disadvantages:

  • Execution dependencies
  • Optional dependencies
  • Steep learning curve

8. Wing

Wing

Platform: Linux/macOS/Windows

Official website: https://wingware.com/

Type: IDE

Wing is a Python IDE that was specifically designed to provide a more productive development experience in Python. It offers a strong range of features including code feedback, syntax highlighting, code auto-completion, smart refactoring, and more.

Wing has three pricing tiers: Wing Pro (paid), Wing Personal (free), and Wing 101 (free). As a scaled-back version of Wing Personal, Wing 101 was originally designed for teaching entry-level computer science courses which makes it one of the best IDEs for Python beginners. As you’d expect, Wing Pro (the paid version) is the most feature-rich of the available options.

Advantages:

  • Customizable and extensible
  • Powerful debugger
  • Feature-rich

Disadvantages:

  • Minimal support for languages that aren’t Python-based
  • Wing Pro can be expensive, and it has to be renewed annually
  • UI is a little outdated

9. GNU/Emacs

GNU

Platform: Linux/macOS/Windows

Official website:https://www.gnu.org

Type: Text editor

GNU Emacs is a feature-rich text editor that is highly customizable via various extensions and it’s available to download for free on all platforms.

For Python development, you can use the Elpy extension This is a feature rich Emacs extension for working with Python projects. Among its many features, we have to mention syntax highlighting that differentiates document elements such as keywords and comments, and automatic indentation which ensures consistent formatting throughout your file.

Advantages:

  • Free and fully customizable
  • Fully navigable via keyboard bindings (but you don’t have to)
  • 24-bit color encoded support for terminals that support this

Disadvantages:

  • Steep learning curve
  • Documentation may be out of date

10. Thonny

Thonny

Platform: Linux/macOS/Windows

Official website:https://thonny.org

Type: IDE

Thonny is advertised as the Python IDE for beginners. Designed to make life easier for new Python developers, Thonny is a simple and lightweight IDE with excellent features that is free of charge. This makes it one of the best IDES for Python beginners that want to start developing in a simple environment, but less so for expert Python developers that want more from their next Python IDE.

With a UI that is isolated from features that may distract beginners, Thonny is a well-thought-out pedagogical IDE for beginners who want to develop in Python quickly, easily, and simply.

Advantages:

  • IDE adapted for beginners’ learning
  • Basic and functional user interface
  • Easy to get started (comes with Python built-in)

Disadvantages:

  • Not for the experienced developer
  • Lacks advanced features offered by other IDEs

How to choose the best Python IDE in 2023?

For beginners, there are several Python IDEs that allow you to build a comfort level with the environment as you become steadily familiar with each feature.

For ease of installation, IDLE is a strong choice for beginners as it’s bundled with Python on your system. If you’d like to explore other options, Thonny and Wing 101 are excellent choices as they’ve both been designed with beginners in mind.

But if you’d like to code in a more professional environment, you could consider Pycharm as your next IDE, or if you’d prefer portability, VS Code is a solid choice as one of the best Python code editors.

Experienced and professional developers find themselves spoilt for choice. If you’re after an IDE that offers strong performance with larger projects, then Pycharm or PyDev (Eclipse) are popular options. Similarly, VS Code is often chosen when a code editor is preferred.

If you’re part of the ever-expanding data science community then Jupyter should be at the top of your list. Equally, Spyder is one of the best python ides for scientific computing, so this may be a good choiceif your development aligns with its strengths.

Then again, perhaps you’re a little more ‘old school’ and you’d prefer the look and feel of GNU/Emacs or Sublime, both of which are very popular with Linux developers.

Free Python IDE

Python IDE for Mac

Python IDE for Windows

  • Pycharm
  • PyDev 
  • Visual Studio Code
  • Jupyter Notebook
  • Spyder
  • Thonny
  • PyDev 
  • Pycharm
  • Visual Studio Code
  • Jupyter Notebook
  • Spyder
  • Wing
  • Thonny
  • PyDev
  • Pycharm
  • Visual Studio Code
  • Jupyter Notebook
  • Spyder
  • Wing
  • Thonny

Conclusion

Python is one of the most well-known languages and perhaps even the most popular. If you’re looking for the best Python IDE to boost your productivity, you have a multitude of useful, practical, and powerful Python IDEs to choose from, be they paid options or free. Equally, if you prefer a lightweight code editor, there’s plenty to choose from in both the free and paid tiers.

If you’re a Python beginner then the Complete Python Bootcamp course is a great place to start your beginner-to-expert Python developer journey.

Frequently Asked Questions

1. What Is the Best IDE for Python?

The best Python IDE is that which enhances your coding experience and productivity by the greatest margin. If you’re a beginner, then it may be good to start with IDLE, Thonny or Wing 101. If you’re an experienced developer, you can choose any of the IDEs we’ve covered, but the most popular choices tend to be Pycharm for an IDE and VS Code for a code editor.

2. Which is the Best Python IDE for Beginners?

Several Python IDEs have been designed with beginners in mind. These let you build a comfort level with the environment as you become familiar with each feature. IDLE is a good choice as it’s installed with Python. Thonny and Wing 101 are also excellent choices as they offer simple UIs that were designed for beginner developers. Pycharm’s free tier is also one of the best Python environments for beginners.

3. What Is the Official IDE for Python?

There is no official IDE for Python per se. IDLE is bundled with Python, so it could be viewed as the official IDE, but the Python developer community is open-minded and collaborative, meaning that there’s extensive user support and feedback for each of the Python IDEs we’ve covered. 

4. Which Python IDE Should I Use for Machine Learning?

Jupyter is a popular choice for machine learning developers as it offers ease of use with running simulations and sharing results with others. Similarly, Spyder is popular with the data science community due to its extensive scientific computing features and library integration. However, any of the IDEs we’ve covered can be used for machine learning if you’ve installed the necessary libraries.

People are also reading:

  • What is Pycharm?
  • Python Programming Language
  • Python Best Courses
  • Best Python Libraries
  • Best Python Courses
  • Best Python Certifications
  • Best Python Books
  • Top Python Projects
  • Top Python Interview Questions

Python code editors are designed for the developers to code and debug program easily. Using these Python IDEs(Integrated Development Environment), you can manage a large codebase and achieve quick deployment.

Developers can use these editors to create desktop or web application. The Python IDEs can also be used by DevOps engineers for continuous Integration.

Following is a handpicked list of Top Python Code Editors, with popular features and latest download links. The list contains both open-source(free) and premium tools.

Top Python IDEs & Code Editors: Download for Free & Paid

Name Platform Link
PyCharm Windows, Mac & Linux Learn More
Spyder Windows, Mac & Linux Learn More
Dreamweaver Windows, Android and iOS Learn More
IDLE Windows, macOS, & Unix Learn More
Sublime Text 3 Windows & Unix Learn More

#1) PyCharm

PayCharm is a cross-platform IDE used for Python programming. It is one of the best Python IDE editor that can be used on Windows, macOS, and Linux. This software contains API that can be used by the developers to write their own Python plugins so that they can extend the basic functionalities.

PyCharm

Features:

  • It is an intelligent Python code editor supports for CoffeeScript, JavaScript, CSS, and TypeScript.
  • Provides smart search to jump to any file, symbol, or class.
  • Smart Code Navigation
  • This Python editor offers quick and safe refactoring of code.
  • It allows you to access PostgreSQL, Oracle, MySQL, SQL Server, and many other databases from the IDE.
  • Price: Free/Paid

Download Link: https://www.jetbrains.com/pycharm/


#2) Spyder

Spyder is a scientific integrated development environment written in Python. This software is designed for and by scientists who can integrate with Matplotlib, SciPy, NumPy, Pandas, Cython, IPython, SymPy, and other open-source software. Spyder is available through Anaconda (open-source distribution system) distribution on Windows, macOS, and Linux.

Spyder

Features:

  • It is one of the best Python IDE for Windows which allows you to run Python code by cell, line, or file.
  • Plot a histogram or time-series, make changes in dateframe or numpy array.
  • It offers automatic code completion and horizontal/vertical splitting.
  • Find and eliminate bottlenecks
  • An interactive way to trace each step of Python code execution.
  • Price: Free

Download Link: https://www.spyder-ide.org/


#3) Dreamweaver

Dreamweaver is a popular Python Editor Tool. This tool helps you to create, publish, and manage websites. A website created with DreamWeaver can be uploaded to any web server.

Dreamweaver

Features:

  • Dynamic websites can be quickly developed using Dreamweaver.
  • You can create a website that fits any screen size.
  • This tool helps you to customize workspace the way you like.
  • It has an inbuilt HTML validator to validate your code.
  • Provides Real-time collaboration, Live Preview, Drag-and-drop Editor, Multilingual, Syntax Highlighting, and Dual View
  • Supports compliance standard such as GDPR
  • Provides numerous plugins like Code View
  • Seamlessly integrates with Fireworks and Flash
  • Offers ready-made templates for blogs, ecommerce, newsletters and portfolios
  • Provides programming languages like HTML, CSS, and JavaScript
  • Offers flexible coding, Seamless Live View editing, Multi-monitor, and Redesigned
  • It provides customer support via Phone and Chat
  • Supported Platforms: Windows, Android and iOS
  • Price: Plans start at $20.99 a month.
  • Free Trial: 7 Days Free Trial

Visit Dreamweaver >>


#4) IDLE

IDLE (Integrated Development and Learning Environment) is a default editor that comes with Python. It is one of the best Python IDE software which helps a beginner to learn Python easily. IDLE software package is optional for many Linux distributions. The tool can be used on Windows, macOS, and Unix.

IDLE

Features:

  • Search multiple files
  • It has an interactive interpreter with colorizing of input, output, and error messages.
  • Supports smart indent, undo, call tips, and auto-completion.
  • Enable you to search and replace within any window.
  • Price: free

Download Link: https://docs.python.org/3/library/idle.html


#5) Sublime Text 3

Sublime Text 3 is a code editor which supports many languages including Python. It is one of the best Python editor that has basic built-in support for Python. Customization of Sublime Text 3 is available for creating create a full-fledged Python programming environment. The editor supports OS X, Windows, and Linux operating systems.

Sublime Text 3

Features:

  • Allows you to highlight syntax.
  • It has command Palette implementation that accepts text input from users.
  • Handle UTF8 BOMs in .gitignore files
  • Display badges for folders and file to indicate Git status
  • Changes to a file are represented by markers available in the gutter.
  • Price: Free Trial

Download Link: https://www.sublimetext.com/3


#6) Visual Studio Code

Visual Studio Code (VS Code) is an open-source environment developed by Microsoft. It is one of the best Python IDE for Windows that can be used for Python development. Visual Studio Code is based on Electron which is a framework to deploy Node JS applications for the computer running on the Blink browser engine.

Visual Studio Code

Features:

  • The editor provides smart code completion based on function definition, imported modules, as well as variable types.
  • You can work with Git as well as other SCM providers
  • Enable you to debug code from the editor.
  • Provides extensions to add new languages, debuggers, themes to gain the advantage of additional services.
  • Price: Free

Download Link: https://code.visualstudio.com/


#7) Atom

Atom is a useful code editor tool preferred by programmers due to its simple interface compared to the other editors. Atom users can submit packages and them for the software.

Atom

Features:

  • Package Manager Integrated for Plugins support
  • The feature of smart autocompletion
  • It is one of the best Python editor which supports Command Palette
  • Multiple panes
  • Allow cross-platform editing
  • Price: Free

Download Link: https://atom.io/


#8) Jupyter

Jupyter is a tool for people who have just started with data science. It is easy to use, interactive data science IDE across many programming languages that just not work as an editor, but also as an educational tool or presentation.

Jupyter

Features:

  • It is one of the best Python IDE that supports for Numerical simulation, data cleaning machine learning data visualization, and statistical modeling.
  • Combine code, text, and images.
  • Support for many programming languages.
  • Integrated data science libraries (matplotlib, NumPy, Pandas).
  • Price: Free

Download Link: https://jupyter.org/install.html


#9) Pydev

PyDev is a third-party Python editor for Eclipse. It is one of the best IDE for Python which can be used in not only Python but IronPython and Jython development.

Pydev

Features:

  • It has interactive console shortcuts
  • Allows you to create a Google App Engine (GAE) Python project
  • Find and Go to definition
  • Automatically import code to complete it.
  • You can Configure Django integration.
  • Price: Free

Download Link: https://www.pydev.org/

Also Check:- Django Tutorial for Beginners: Features, Architecture & History


#10) Thonny

Thonny is an IDE for learning and teaching programming, specially designed with the beginner Pythonista scripting environment. It is developed at The University of Tartu, which you can download for free on the Bitbucket repository for Windows, Linux, and Mac.

Thonny

Features:

  • Allows developers to view how their code and shell commands affect Python variables.
  • It has a simple debugger.
  • It is one of the best IDE for Python that provides support for evaluating an expression.
  • Python function call opens a new window with separate local variables table as well as code pointer.
  • Automatically spot syntax error.
  • Price: Free

Download Link: https://thonny.org/


#11) Wing

Wing is a lightweight Python environment which is designed to give you productive development experience.

Wing

Features:

  • Immediate feedback by writing your Python code.
  • Helps you to remove common errors and write better Python code.
  • You can check for debug data and try out bug fixes interactively without restarting your app.
  • Wing supports test-driven development with various frameworks like the unittest, pytest, nose, doctest, and Django testing.
  • Price: Wing Pro trial is free. Wind Personal and Wing 101 are paid versions.

Download Link: https://wingware.com/


#12) ActivePython

Increase software development data science with a secure and supported Python distribution. ActivePython is software consisting of the Python implementation CPython and a set of various extensions to facilitate installation.

ActivePython

Features:

  • It is one of the best IDE for Python which allows you to connect to your big data and databases, including Redis, MySQL, Hadoop, and MongoDB.
  • Helps you to manage your data using, SciPy, Pandas, NumPy, and MatPlotLib.
  • Supports machine learning models like TensorFlow, Keras, and Theano.
  • Compatible with open-source Python so that you can avoid vendor lock-in.
  • Uses OpenSSL patch for security.
  • Price: Free for community, however, coder, team, business. Enterprise versions are paid.

Download Link: https://www.activestate.com/products/python/

FAQ

❓ What is Python IDE?

Python IDE or code editors are designed for the developers to code and debug program easily. Using these Python editors, you can manage a large codebase and achieve quick deployment.

✅ Which are the Best Python IDEs?

Here are some of the Best Python Code Editors:

  • PyCharm
  • Spyder
  • Dreamweaver
  • IDLE
  • Sublime Text 3
  • Visual Studio Code
  • Atom

Check Our Online Python Compiler:- Click Here

Python является одним из самых популярных скриптов новых языков программирования. Соответственно, чтобы более или менее комфортно писать код пользователю нужна специальная среда. Подобного рода решений существует достаточно много, но сегодня мы рассмотрим именно официальное приложение.

Описание программы

Как только вы скачаете дистрибутив Python с официального сайта и закончите установку, на компьютер будут добавлены не только сам язык программирования, но и соответствующая IDLE. Данный редактор не отличается каким-то широким функционалом, но позволяет с комфортом набирать код. Поддерживается простейшая кастомизация, а также подсветка синтаксиса. Пользователь может менять и шрифт.

Настройки Python IDLE

Как пользоваться

Давайте рассмотрим, каким образом устанавливается данная среда разработки на конкретном примере:

  1. В первую очередь мы должны нажать кнопку в самом конце этой же странички и загрузить архив с исполняемым файлом Python.
  2. Распаковываем содержимое в какой-нибудь каталог или на рабочий стол Windows. Производим запуск процесса инсталляции и принимаем лицензионное соглашение программы.
  3. Ждём, пока все файлы скопируются по своим местам, а также будут зарегистрированы в системном реестре.

Python IDLE для Windows 7, 10, 11 x32/64 Bit

В некоторых случаях, для того чтобы язык программирования корректно работал, понадобится и перезагрузка операционной системы.

Достоинства и недостатки

Переходим к обзору сильных и слабых сторон официальной версии среды разработки для Python по сравнению со сторонними решениями.

Плюсы:

  • отсутствие необходимости установки дополнительного ПО;
  • полная бесплатность;
  • минимальные системные требования;
  • максимальная интеграция с Python.

Минусы:

  • меньшее количество функций.

Скачать

Так как данное программное обеспечение распространяется на полностью бесплатной основе, мы просто загрузили файл с сайта разработчика и обновили до последней до версии 2023.

Лицензия: Бесплатно
Платформа: Windows 7, 10, 11
Язык: Русский

Описание и рекомендации

PyCharm – интегрированная среда для разработки приложений на языке Python. Пакет выпускается в двух изданиях. Редакция Community распространяется бесплатно.

Профессиональный релиз требует приобретения лицензии (по истечению срока действия пробного периода).

Последняя версия JetBrains PyCharm устанавливается на Виндовс, macOS и Linux. Среда программирования не совместима с архитектурой 32 bit, поддерживает исключительно OS x64.

Системные требования Python IDE

Кроме ограничений 64-битной разрядностью, для полноценной работы среды разработки необходимо:

  • RAM – 2 Gb (минимум), желательно 8;
  • установленный интерпретатор языка программирования Python 2.7, 3.5 или старше;
  • разрешение экрана – не менее 1024х768.

Программа также имеет ограничения по неподдерживаемым операционным системам Microsoft – Windows 7 и ниже. Пакет с официального сайта предназначен только для более поздних выпусков ОС (8, 10, 11).

Языковые аспекты

Интерфейс софта реализован на английском, русская версия не предусмотрена. Это характерно для большинства IDE.

Учитывая терминологию (синтаксис) Python, программист должен обладать достаточными знаниями английского. Интерфейс на русском языке или другая лингвистика меню мешает сосредоточиться и просто раздражает квалифицированного разработчика.

PyCharm Community Edition

Бесплатная версия среды разработки устанавливается без создания аккаунта JetBrains. Работа IDE невозможна без языка программирования. В процессе инсталляции проверяется наличие Python на компьютере. Если требуемая версия отсутствует, язык устанавливается автоматически.

При запуске Pycharm Community Edition появляется приветственное окно, где сразу можно перейти к проекту или инсталлировать дополнительные расширения (плагины).

Функционал IDE для Windows 10/11:

  • умный редактор – автоматически производится дополнение терминов, проверка корректности кода (выявленные ошибки подсвечиваются);
  • поддержка других языков, шаблонов и разметок веб-программирования – JavaScript, HTML, CSS, Cython, AngularJS;
  • упрощенная навигация – ускорен переход к различным объектам, включая классы, типы, методы;
  • одновременное отслеживание вносимых изменений через отображение результата в браузер – Live Editing Preview.

Непосредственно в PyCharm Community интегрирован отладчик JavaScript. Это позволяет запустить сервер Django.

Фактически среда упрощает разработку веб-ресурсов и приложений, упрощая стандартный набор кода множеством шаблонов. Еще большие возможности для программистов предоставляет профессиональный пакет IDE.

PyCharm Professional Edition

Профессиональная редакция IDE распространяется платно, но может быть опробована через бесплатную trial-лицензию. Испытательный режим выдается сроком на один месяц и требует регистрации на официальном сайте разработчика JetBrains.

Для создания учетной записи достаточно указать e-mail и привязать к нему пароль. Отличия PyCharm Professional от бесплатной Community версии существенны.

Профессиональное издание дополняют:

  • инструменты для анализа и научных вычислений – подключены NumPy, MatPlotLib и библиотека Anaconda;
  • создание веб-ресурсов и приложений, включая использование фреймворков Python;
  • профилировщик базового языка;
  • средства удаленной разработки.

Также пакет PyCharm Professional Edition поддерживает работу с расширенным набором баз данных и SQL.

Заключение

Скачать PyCharm можно прямо с нашего сайта в любой редакции. Мы предлагаем загрузить бесплатно, как последние версии Community, Professional так и более ранние выпуски этих изданий.

Скриншоты

Внешний вид Pycharm Community Edition.
Добавление плагинов в Pycharm.
Выбор лицензии в PyCharm Professional Edition.

Другие версии

Скачать PyCharm Community Edition 2022.3.2 (EXE)
Скачать PyCharm Community Edition 2022.3.1 (EXE)
Скачать PyCharm Community Edition 2022.3 (EXE)
Скачать PyCharm Community Edition 2022.2.4 (EXE)
Скачать PyCharm Community Edition 2022.1.4 (EXE)
Скачать PyCharm Community Edition 2021.3.3 (EXE)
Скачать PyCharm Community Edition 2021.1.3 (EXE)
Скачать PyCharm Professional Edition 2022.3.2 (EXE)
Скачать PyCharm Professional Edition 2022.3.1 (EXE)
Скачать PyCharm Professional Edition 2022.3 (EXE)
Скачать PyCharm Professional Edition 2022.2.4 (EXE)
Скачать PyCharm Professional Edition 2022.1.4 (EXE)
Скачать PyCharm Professional Edition 2021.3.3 (EXE)
Скачать PyCharm Professional Edition 2021.1.3 (EXE)
Другие ранние версии PyCharm

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