Как установить spyder для питона windows

Spyder is relatively easy to install on Windows, Linux and macOS.
Just make sure to read and follow these instructions with care.

If you run into problems, before posting a report, please consult our comprehensive troubleshooting guide and search the issue tracker for your error message and problem description.
These methods generally fix or isolate the great majority of install-related difficulties.
Thanks!

conda create -c conda-forge -n spyder-env spyder numpy scipy pandas matplotlib sympy cython

conda create -c conda-forge -n spyder-env spyder

conda activate spyder-env
conda config --env --add channels conda-forge
conda config --env --set channel_priority strict

conda update -n base conda
conda activate spyder-env
conda update spyder

conda remove -n spyder-env --all

conda update anaconda
conda install spyder=5.3.3

conda remove spyder
conda install spyder

mkvirtualenv spyder-env
workon spyder-env

python3 -m venv spyder-env
source spyder-env/bin/activate

python -m venv spyder-env
spyder-envScriptsactivate.bat

pip install spyder numpy scipy pandas matplotlib sympy cython

pip install --upgrade spyder

brew install --cask spyder

sudo port install py39-spyder

It is always necessary to have interactive environments to create software applications and this fact becomes very important when you work in the fields of Data Science, engineering, and scientific research. The Python Spyder IDE has been created for the same purpose. In this article, you will be learning how to install and make use of Spyder or the Scientific Python and Development IDE.

Before moving on, let’s take a look at all the topics that are discussed over here:

• What is Python Spyder IDE?
• Features of Spyder
• Python Spyder IDE Installation
• Creating a file/ Starting a Project
• Writing the Code
• Variable Explorer
• File Explorer
• Configuring Spyder
• Help

Let’s begin.

What is Python Spyder IDE?

Spyder is an open-source cross-platform IDE. The Python Spyder IDE is written completely in Python. It is designed by scientists and is exclusively for scientists, data analysts, and engineers. It is also known as the Scientific Python Development IDE and has a huge set of remarkable features which are discussed below.

Features of Spyder

Some of the remarkable features of Spyder are:

• Customizable Syntax Highlighting
• Availability of  breakpoints (debugging and conditional breakpoints)
• Interactive execution which allows you to run line, file, cell, etc.
•  Run configurations for working directory selections, command-line options, current/ dedicated/ external console, etc
• Can clear variables automatically ( or enter debugging )
• Navigation through cells, functions, blocks, etc can be achieved through the Outline Explorer
• It provides real-time code introspection (The ability to examine what functions, keywords, and classes are, what they are doing and what information they contain)
• Automatic colon insertion after if, while, etc
• Supports all the IPython magic commands
• Inline display for graphics produced using Matplotlib
• Also provides features such as help, file explorer, find files, etc

Python Spyder IDE Installation ( Installing with Anaconda – Recommended)

The Python Spyder IDE comes as a default implementation along with Anaconda Python distribution. This is not just the recommended method but also the easiest one. Follow the steps given below to install the Python Spyder IDE:

Creating a file/ Starting a Project:

• To start a new file, navigate through as follows:

File–>New File

• For creating a new project:

Projects–>New Project

Writing the code:

Writing code in Spyder becomes very easy with its multi-language code editor and a number of powerful tools. As mentioned earlier, the editor has features such as syntax highlighting, real-time analysis of code, style analysis, on-demand completion, etc. When you write your code, you will also notice that it gives a clear call stack for methods suggesting all the arguments that can be used along with that method.

Take a look at the example below:

In the above example, you can notice that the editor is showing the complete syntax of the print function. Not just this, in case you have made an error in any line, you will be notified about it before the line number with a message describing what the issue is. Take a look at the image below:

To run any file, you can select the Run option and click on run. Once executed, the output will be visible on the Console as shown in the image below:

Code cells:

You can define code cells easily using the following:

For example, when you use the Standard cell separator, you will see that the code has been separated as follows:

Variable Explorer:

The Variable Explorer shows all the global objects references such as modules, variables, methods, etc of the current IPython Console. Not just this, you can also interact with these using various GUI based editors.

File Explorer:

The File Explorer is basically a filesystem and directory browser that allows you to browse, open, and perform other management tasks on the files and folders. You can make use of the context menus functions for operating with them.

Configuring Spyder:

Python Spyder IDE can be configured conveniently using the options present in the preferences menu. You can change anything such as themes, syntax colors, font size, etc. To do this, navigate to Tools menu and then select the Preferences option. You will see the following window which will allow you to configure Spyder according to your choice:

Help:

The help pane allows you to find and display documentation of any object you desire.  When you choose the help option, you will be able to see the following options:

As you can see, it has many options that will help you solve any issue you encounter while using the Python Spyder IDE.

It is always necessary to have interactive environments to create software applications and this fact becomes very important when you work in the fields of Data Science, engineering, and scientific research. The Python Spyder IDE has been created for the same purpose. In this article, you will be learning how to install and make use of Spyder or the Scientific Python and Development IDE.

Before moving on, let’s take a look at all the topics that are discussed over here:

• What is Python Spyder IDE?
• Features of Spyder
• Python Spyder IDE Installation
• Creating a file/ Starting a Project
• Writing the Code
• Variable Explorer
• File Explorer
• Configuring Spyder
• Help

Let’s begin.

What is Python Spyder IDE?

Spyder is an open-source cross-platform IDE. The Python Spyder IDE is written completely in Python. It is designed by scientists and is exclusively for scientists, data analysts, and engineers. It is also known as the Scientific Python Development IDE and has a huge set of remarkable features which are discussed below.

Features of Spyder

Some of the remarkable features of Spyder are:

• Customizable Syntax Highlighting
• Availability of  breakpoints (debugging and conditional breakpoints)
• Interactive execution which allows you to run line, file, cell, etc.
•  Run configurations for working directory selections, command-line options, current/ dedicated/ external console, etc
• Can clear variables automatically ( or enter debugging )
• Navigation through cells, functions, blocks, etc can be achieved through the Outline Explorer
• It provides real-time code introspection (The ability to examine what functions, keywords, and classes are, what they are doing and what information they contain)
• Automatic colon insertion after if, while, etc
• Supports all the IPython magic commands
• Inline display for graphics produced using Matplotlib
• Also provides features such as help, file explorer, find files, etc

Python Spyder IDE Installation ( Installing with Anaconda – Recommended)

The Python Spyder IDE comes as a default implementation along with Anaconda Python distribution. This is not just the recommended method but also the easiest one. Follow the steps given below to install the Python Spyder IDE:

Creating a file/ Starting a Project:

• To start a new file, navigate through as follows:

File–>New File

• For creating a new project:

Projects–>New Project

Writing the code:

Writing code in Spyder becomes very easy with its multi-language code editor and a number of powerful tools. As mentioned earlier, the editor has features such as syntax highlighting, real-time analysis of code, style analysis, on-demand completion, etc. When you write your code, you will also notice that it gives a clear call stack for methods suggesting all the arguments that can be used along with that method.

Take a look at the example below:

In the above example, you can notice that the editor is showing the complete syntax of the print function. Not just this, in case you have made an error in any line, you will be notified about it before the line number with a message describing what the issue is. Take a look at the image below:

To run any file, you can select the Run option and click on run. Once executed, the output will be visible on the Console as shown in the image below:

Code cells:

You can define code cells easily using the following:

For example, when you use the Standard cell separator, you will see that the code has been separated as follows:

Variable Explorer:

The Variable Explorer shows all the global objects references such as modules, variables, methods, etc of the current IPython Console. Not just this, you can also interact with these using various GUI based editors.

File Explorer:

The File Explorer is basically a filesystem and directory browser that allows you to browse, open, and perform other management tasks on the files and folders. You can make use of the context menus functions for operating with them.

Configuring Spyder:

Python Spyder IDE can be configured conveniently using the options present in the preferences menu. You can change anything such as themes, syntax colors, font size, etc. To do this, navigate to Tools menu and then select the Preferences option. You will see the following window which will allow you to configure Spyder according to your choice:

Help:

The help pane allows you to find and display documentation of any object you desire.  When you choose the help option, you will be able to see the following options:

As you can see, it has many options that will help you solve any issue you encounter while using the Python Spyder IDE.

Copyright © 2009–2023 Spyder Project Contributors

Some source files and icons may be under other authorship/licenses; see
NOTICE.txt.

Project status

Build status

Try Spyder online

:point_left: By clicking on this link you’ll be able to test the latest Spyder version in your browser.

:point_left: By clicking on this link you’ll be able to test the latest Spyder 5.x development version.

:point_left: By clicking on this link you’ll be able to test the latest Spyder 6.x development version.

How Spyder looks

Help support Spyder, the community-developed scientific IDE!

Spyder development is made possible by contributions from our global user
community, along with organizations like NumFOCUS
and Quansight.
There are numerous ways you can help, many of
which don’t require any programming. If you’d like to make a donation to help fund further improvements,
we’re on OpenCollective.

Thanks for all you do to make the Spyder project thrive! More details

Overview

Spyder is a powerful scientific environment written in Python, for Python,
and designed by and for scientists, engineers and data analysts. It offers a
unique combination of the advanced editing, analysis, debugging, and profiling
functionality of a comprehensive development tool with the data exploration,
interactive execution, deep inspection, and beautiful visualization
capabilities of a scientific package.

Beyond its many built-in features, its abilities can be extended even further
via its plugin system and API. Furthermore, Spyder can also be used as a PyQt5
extension library, allowing you to build upon its functionality and embed
its components, such as the interactive console, in your own software.

For more general information about Spyder and to stay up to date on the
latest Spyder news and information, please check out our new website.

Core components

• Editor

  Work efficiently in a multi-language editor with a function/class browser,
  real-time code analysis tools (pyflakes, pylint, and pycodestyle),
  automatic code completion (jedi and rope),
  horizontal/vertical splitting, and go-to-definition.

• Interactive console

  Harness the power of as many IPython consoles as you like with full
  workspace and debugging support, all within the flexibility of a full
  GUI interface. Instantly run your code by line, cell, or file,
  and render plots right inline with the output or in interactive windows.

• Documentation viewer

  Render documentation in real-time with Sphinx for any class or function,
  whether external or user-created, from either the Editor or a Console.

• Variable explorer

  Inspect any variables, functions or objects created during your session.
  Editing and interaction is supported with many common types, including
  numeric/strings/bools, Python lists/tuples/dictionaries, dates/timedeltas,
  Numpy arrays, Pandas index/series/dataframes, PIL/Pillow images, and more.

• Development tools

  Examine your code with the static analyzer, trace its execution with the
  interactive debugger, and unleash its performance with the profiler.
  Keep things organized with project support and a built-in file explorer, and
  use find in files to search across entire projects with full regex support.

Documentation

You can read the Spyder documentation online on the Spyder Docs website.

Installation

For a detailed guide to installing Spyder, please refer to our
installation instructions.

The easiest way to install Spyder on any of our supported platforms
is to download it as part of the Anaconda
distribution, and use the conda package and environment manager to keep it
and your other packages installed and up to date.

If in doubt, you should always install Spyder via this method to avoid
unexpected issues we are unable to help you with; it generally has the
least likelihood of potential pitfalls for non-experts, and we may be
able to provide limited assistance if you do run into trouble.

Other installation options exist, including:

• The WinPython distribution for Windows
• The MacPorts project for macOS
• Your distribution’s package manager (i.e. apt-get, yum, etc) on Linux
• The pip package manager, included with most Python installations

However, we lack the resources to provide individual support for users who
install via these methods, and they may be out of date or contain bugs outside
our control, so we recommend the Anaconda version instead if you run into issues.

Troubleshooting

Before posting a report, please carefully read our Troubleshooting Guide
and search the issue tracker
for your error message and problem description, as the great majority of bugs
are either duplicates, or can be fixed on the user side with a few easy steps.
Thanks!

Contributing and Credits

Spyder was originally created by Pierre Raybaut, and is currently maintained by
Carlos Córdoba and an international
community of volunteers.

You can join us—everyone is welcome to help with Spyder!
Please read our contributing instructions
to get started!

Certain source files are distributed under other compatible permissive licenses
and/or originally by other authors.
The icons for the Spyder 3 theme are derived from Font Awesome 4.7 (© 2016 David Gandy; SIL OFL 1.1).
Most Spyder 2 theme icons are sourced from the Crystal Project icon set (© 2006-2007 Everaldo Coelho; LGPL 2.1+).
Other Spyder 2 icons are from Yusuke Kamiyamane (© 2013 Yusuke Kamiyamane; CC-BY 3.0),
the FamFamFam Silk icon set
(© 2006 Mark James; CC-BY 2.5), and the KDE Oxygen icons (© 2007 KDE Artists; LGPL 3.0+).

See NOTICE.txt
for full legal information.

Running from a git clone

Please see the instructions in our
Contributing guide
to learn how to do run Spyder after cloning its repo from Github.

Dependencies

Important Note: Most or all of the dependencies listed below come
with Anaconda and other scientific Python distributions, so you don’t need
to install them separately in those cases.

Build dependencies

When installing Spyder from its source package, the only requirement is to have
a Python version equal or greater than 3.7.

Runtime dependencies

The basic dependencies to run Spyder are:

• Python 3.7+: The core language Spyder is written in and for.
• PyQt5 5.9+: Python bindings for Qt, used for Spyder’s GUI.

The rest our dependencies (both required and optional) are declared in
this file.

Sponsors

Spyder is funded thanks to the generous support of

and the donations we have received from our users around the world through Open Collective:

More information

Main Website

Download Spyder (with Anaconda)

Online Documentation

Spyder Github

Troubleshooting Guide and FAQ

Development Wiki

Gitter Chatroom

Google Group

@Spyder_IDE on Twitter

@SpyderIDE on Facebook

Support Spyder on OpenCollective