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Spyder - The Scientific PYthon Development EnviRonment

Copyright © 2009- The Spyder Development Team.

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Overview

screenshot

Spyder is a Python development environment with a lot of features:

  • Editor

    Multi-language editor with function/class browser, code analysis features (pyflakes and pylint are currently supported), code completion, horizontal and vertical splitting, and goto definition.

  • Interactive console

    Python or IPython consoles with workspace and debugging support to instantly evaluate the code written in the Editor. It also comes with Matplotlib figures integration.

  • Documentation viewer

    Show documentation for any class or function call made either in the Editor or a Console.

  • Variable explorer

    Explore variables created during the execution of a file. Editing them is also possible with several GUI based editors, like a dictionary and Numpy array ones.

  • Find in files

    Supporting regular expressions and mercurial repositories

  • File explorer

  • History log

Spyder may also be used as a PyQt4/PySide extension library (module spyderlib). For example, the Python interactive shell widget used in Spyder may be embedded in your own PyQt4/PySide application.

Documentation

You can read the Spyder documentation at:

http://pythonhosted.org/spyder/

Installation

This section explains how to install the latest stable release of Spyder. If you prefer testing the development version, please use the bootstrap script (see next section).

The easiest way to install Spyder is:

On Windows:

On Mac OSX:

On GNU/Linux

  • Through your distribution package manager (i.e. apt-get, yum, etc).
  • Using the Anaconda Distribution.
  • Installing from source (see below).

Cross-platform way from source

You can also install Spyder with the pip package manager, which comes by default with most Python installations. For that you need to use the command:

pip install spyder

To upgrade Spyder to its latest version, if it was installed before, you need to run

pip install --upgrade spyder

For more details on supported platforms, please refer to our installation instructions.

Important note: This does not install the graphical Python libraries (i.e. PyQt4, PyQt5 or PySide) that Spyder depend on. Those have to be installed separately after installing Python.

Running from source

The fastest way to run Spyder is to get the source code using git, install PyQt4, PyQt5 or PySide, and run these commands:

  1. pip install qtawesome or conda install -c spyder-ide qtawesome
  2. cd /your/spyder/git-clone
  3. python bootstrap.py

You may want to do this for fixing bugs in Spyder, adding new features, learning how Spyder works or just getting a taste of it.

Dependencies

Important note: Most if not all the dependencies listed below come with Anaconda, WinPython and Python(x,y), so you don't need to install them separately when installing one of these Scientific Python distributions.

Build dependencies

When installing Spyder from its source package, the only requirement is to have a Python version greater than 2.7 (Python 3.2 is not supported anymore).

Runtime dependencies

  • Python 2.7, 3.3, 3.4 or 3.5
  • PyQt4 4.6+, PyQt5 5.2+ or PySide 1.2.0+: PyQt4 is recommended.
  • IPython 3.0 or qtconsole: Enhanced Python interpreter.
  • Rope and/or Jedi 0.8.1: Editor code completion, calltips and go-to-definition.
  • Pyflakes: Real-time code analysis)
  • Sphinx: Object Inspector's rich text mode.
  • Pygments: Syntax highlighting for all file types it supports.
  • Pylint: Static code analysis.
  • Pep8: Style analysis.
  • Psutil: CPU and memory usage on the status bar.
  • Nbconvert: Manipulation of notebooks in the Editor.

Note: To get IPython in Ubuntu you need to install ipython-qtconsole, on Fedora ipython-gui and on Gentoo ipython with the qt4 USE flag.

Optional modules

  • Matplotlib: 2D/3D plotting.
  • Pandas: DataFrame and Series support.
  • Numpy: N-dimensional arrays.
  • SymPy: Symbolic mathematics.

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