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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. Python Setup and Usage how to use Python on different platforms. Python HOWTOs in-depth documents on specific topics. Installing Python Modules installing from the Python Package Index & other sources. Distributing Python Modules publishing modules for installation by others. Extending and Embedding tutorial for C/C programmers. Python core development news and information. Tuesday, May 1, 2018. Python 2.7.15 released The bugfix release Python 2.7.15 is now available for download. Attention macOS users: as of 2.7.15, all python.org macOS installers ship with a builtin copy of OpenSSL. Additionally, there is a new additional installer variant for macOS 10.9+ that includes a built-in version of Tcl/Tk 8.6.

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The Scientific Python Development Environment

Project description

Copyright © 2009–2019 Spyder Project Contributors

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

Overview

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

Beyond its many built-in features, its abilities can be extended even furthervia its plugin system and API. Furthermore, Spyder can also be used as a PyQt5extension library, allowing you to build upon its functionality and embedits components, such as the interactive console, in your own software.

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

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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 fullworkspace and debugging support, all within the flexibility of a fullGUI 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, includingnumeric/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 theinteractive debugger, and unleash its performance with the profiler.Keep things organized with project support and a builtin file explorer, anduse 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 ourinstallation instructions.

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

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

Other install 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 whoinstall via these methods, and they may be out of date or contain bugs outsideour control, so we recommend the Anaconda version instead if you run into issues.

Troubleshooting

Before posting a report, please carefully read our Troubleshooting Guideand search the issue trackerfor your error message and problem description, as the great majority of bugsare 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 byCarlos Córdoba and an internationalcommunity of volunteers.

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

Certain source files are distributed under other compatible permissive licensesand/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.txtfor full legal information.

Running from a Github clone

Spyder can be run directly from the source code, hosted on theSpyder github repo.You may want to do this for fixing bugs in Spyder, adding newfeatures, learning how Spyder works or to try out development versions beforethey are officially released.

If using conda (strongly recommended), this can be done by running thefollowing from the command line (the Anaconda Prompt, if on Windows):

You also need to make sure the correct spyder-kernels version is installedfor the version of Spyder you are testing. The above procedure will give youspyder-kernels 0.x for the 3.x branch (Spyder 3),so to run the master branch (Spyder 4) you need to additionally execute:

Alternatively, you can use pip to install PyQt5 and the otherruntime dependencies listed below. However, beware:this method is recommended for experts only, and you'll need to solve anyproblems on your own.

See the installation instructions for more details on all of this.

Dependencies

Important Note: Most or all of the dependencies listed below comewith Anaconda and other scientific Python distributions, so you don't needto install them separately in those cases.

Build dependencies

When installing Spyder from its source package, the only requirement is to havea Python version greater than 2.7 or 3.4 (Python <=3.3 is no longer supported).

Runtime dependencies

• Python 2.7 or 3.4+: The core language Spyder is written in and for.
• PyQt5 5.5+: Python bindings for Qt, used for Spyder's GUI.
• qtconsole 4.2.0+: Enhanced Python interpreter.
• Rope 0.9.4+ and Jedi 0.9.0+: Editor code completion, calltipsand go-to-definition.
• Pyflakes: Real-time code analysis.
• Sphinx: Rich text mode for the Help pane.
• Pygments 2.0+: Syntax highlighting for all file types it supports.
• Pylint: Static code analysis.
• Pycodestyle: Real-time code style analysis.
• Psutil: CPU and memory usage on the status bar.
• Nbconvert: Manipulation of notebooks in the Editor.
• Qtawesome 0.5.7+: To have an icon theme based on FontAwesome.
• Pickleshare: Show import completions on the Python consoles.
• PyZMQ: Run introspection services asynchronously.
• QtPy 1.5.0+: Abstraction layer for Python Qt bindings so that Spydercan run on multiple Qt bindings and versions.
• Chardet: Character encoding auto-detection in Python.
• Numpydoc: Used by Jedi to get function return types from Numpydocstrings.
• Cloudpickle: Serialize variables in the IPython kernel to send to Spyder.
• spyder-kernels 0.4.3+;1.0-: Jupyter kernels for the Spyder console.
• keyring: Save Github credentials to report errors securely.

Optional dependencies

• Matplotlib: 2D/3D plotting in the IPython console.
• Pandas: View and edit DataFrames and Series in the Variable Explorer.
• Numpy: View and edit 2- or 3-dimensional arrays in the Variable Explorer.
• SymPy: Symbolic mathematics in the IPython console.
• SciPy: Import Matlab workspace files in the Variable Explorer.
• Cython: Run Cython files in the IPython console.

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

Release historyRelease notifications

4.0.0b5 pre-release

4.0.0b4 pre-release

4.0.0b3 pre-release

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4.0.0b1 pre-release

3.3.6

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3.2.6

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3.1.3

Python 2.7.15 Download Full

3.1.2

3.1.1

3.1.0

3.0.2

3.0.1

3.0.0

3.0.0b7 pre-release

3.0.0b6 pre-release

3.0.0b5 pre-release

3.0.0b4 pre-release

3.0.0b3 pre-release

3.0.0b2 pre-release

2.3.9

2.3.8

2.3.7

2.3.6

2.3.5.2

2.3.5.1

2.3.5

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2.2.3

2.2.1

2.2.0

2.1.13

2.0.12

1.1.8

1.0.3

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Python 2.7.15 Download Windows