Spyder python скачать на windows

Spyder 6.0.0a2

Simple installation

The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux:

  • Windows (Windows 10+): Windows-x86_64.exe

  • macOS (11.0+): macOS-x86_64.pkg

  • Linux (CentOS 7+): Linux-x86_64.sh

Notes:

  • To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
  • To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .

Advanced installation

Important Notes

  1. If you are new to Python or the Scientific Python ecosystem, we strongly recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
  2. We also support pip, but please be aware that pip installations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.

Anaconda

You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):

conda create -n spyder-env -c conda-forge python=3.10
conda activate spyder-env
conda install -c conda-forge/label/spyder_dev -c conda-forge/label/spyder_kernels_rc -c conda-forge spyder=6.0.0a2

Pip

You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):

pip install --pre -U spyder

Note: Do not use this command if you are using Anaconda because it will break your installation.

Contributors

A big thank you to all the contributors that made this release possible: @jnsebgosselin @impact27 @jsbautista @angelasofiaremolinagutierrez @ccordoba12 @mrclary @dalthviz @rear1019 @jitseniesen🎉

Release notes

For the full list of closed issues and merged pull requests in this release, please see our Changelog.

Spyder 5.4.5

Simple installation

The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux (experimental):

  • Windows (Windows 10): Spyder_64bit_full.exe

  • macOS (11.0+): Spyder.dmg

  • Linux (CentOS 7+): Linux-x86_64.sh (Experimental)

Notes:

  • To use packages such as Scikit-learn or Seaborn with these installers, please read the following entry in our documentation FAQ.
  • To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .

Advanced installation

Important Notes

  1. If you are new to Python or the Scientific Python ecosystem, we strongly recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
  2. We also support pip, but please be aware that pip installations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.

Anaconda

You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):

conda install spyder=5.4.5

Notes:

  • It can take a week or two, or even up to a month, for a new Spyder version to be part of Anaconda. Please be patient until then and do not report it as a problem because we don’t have any control over that.

  • If you installed Anaconda for the first time, you need to run the following command first:

    before running the command above.

Pip

You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):

Note: Do not use this command if you are using Anaconda because it will break your installation.

Contributors

A big thank you to all the contributors that made this release possible: @ccordoba12 🎉

Release notes

For the full list of closed issues and merged pull requests in this release, please see our Changelog.

Spyder 5.4.4

Spyder 6.0.0a1

New Contributors

  • @angelasofiaremolinagutierrez made their first contribution in #20714
  • @conradolandia made their first contribution in #20874
  • @habibmy made their first contribution in #20965

Release notes

For the full list of closed issues and merged pull requests in this release, please see our Changelog.

Spyder 5.4.3

Spyder 5.4.2

Contributors

A big thank you to all the contributors that made this release possible: @ccordoba12 @mrclary @dalthviz 🎉

Release notes

For the full list of closed issues and merged pull requests in this release, please see our Changelog.

Spyder 5.4.1

Spyder 5.4.0

Spyder 5.3.3

Spyder 5.3.2

Spyder — The Scientific Python Development Environment

Copyright © 2009– Spyder Project Contributors and others (see AUTHORS.txt)

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

Project status

license
pypi version
conda version
download count
OpenCollective Backers
OpenCollective Sponsors
Join the chat at https://gitter.im/spyder-ide/public
PyPI status

Build status

Win
Mac
Linux
Coverage Status
codecov
Crowdin

Try Spyder online

Binder Spyder latest release :point_left: Click on this link to run the latest Spyder version in your browser.

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Binder Spyder from master :point_left: Click on this link to test changes in our master branch.


How Spyder looks

Screenshot of Spyder's main window


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

QuansightNumfocus

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

Sponsors

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

Scientific PYthon Development EnviRonment

  • Conda

  • Files
  • Labels
  • Badges

  • License: MIT

  • Home: https://github.com/spyder-ide/spyder

  • Development: https://github.com/spyder-ide/spyder

  • Documentation: http://pythonhosted.org/spyder/

  • 5007 total downloads

  • Last upload: 3 years and 9 months ago

Installers

  • linux-64
    v3.2.3

  • win-32
    v3.2.3

  • osx-64
    v3.2.3

  • linux-32
    v3.2.2

  • win-64
    v3.2.3

conda install

To install this package run one of the following:
conda install -c free spyder


Description

Spyder is a powerful interactive development environment for the Python
language with advanced editing, interactive testing, debugging and
introspection features. Additionally, Spyder is a numerical computing
environment thanks to the support of IPython and popular Python libraries
such as NumPy, SciPy, or matplotlib.

Spyder is a useful program for Windows created to serve as an integrated development environment for creating projects in Python. It was developed to provide you with MATLAB-like features in a small but powerful and easy to use software distribution. The utility is particularly helpful when it comes to development environments focused on research, data analysis and science in general.

Overview

The app package contains an interactive IPython console with extensive debugging capabilities. The graphical user interface features a large workspace so that you are able to concentrate on evaluating the code you write in the editor. In addition, the console supports Matplotlib figure integration and enables you to explore the variables that are generated during the execution of a file.

Additional capabilities

It is necessary to mention that you have the ability to modify the variables with the other GUI based editors or learn more about how they interact with the filesystem from within the program. Speaking of modifications, the tool comes with a powerful multi-language editor that comes with a class and function browser.

As you would expect from any development environment, the utility offers horizontal and vertical splitting, goto definitions, code analysis functions, as well as code completion. It is also possible to perform queries across multiple files, as it supports regular expressions.

Features

  • free to download and use;
  • compatible with modern Windows versions;
  • enables you to create projects using Python programming language;
  • it is possible to modify variables and learn about how they interact;
  • supports code analysis functions, horizontal and vertical splitting.

Spyder is a free and open source scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It features 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. Spyder’s multi-language Editor integrates a number of powerful tools right out of the box for an easy to use, efficient editing experience. The Editor’s key features include syntax highlighting (pygments); real-time code and style analysis (pyflakes and pycodestyle); on-demand completion, calltips and go-to-definition features (rope and jedi); a function/class browser, horizontal and vertical splitting, and much more.

Features

  • Work efficiently in a multi-language editor with a function/class browser, code analysis tools, automatic code completion, horizontal/vertical splitting, and go-to-definition
  • Harness the power of as many IPython consoles as you like in one GUI
  • Run code by line, cell or file; or work interactively with debugging, plots and magic commands
  • Interact with and modify variables on the fly: plot a histogram or timeseries, edit a dateframe or Numpy array, sort a collection, dig into nested objects, and more!
  • Browse, zoom, copy and save the figures and images you create
  • Trace each step of your code’s execution interactively

License

MIT License

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