Copyright © 2009- The Spyder Development Team.

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.

You can read the Spyder documentation at:

http://pythonhosted.org/spyder/

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:

• Or using one of these scientific Python distributions:
  1. Anaconda
  2. WinPython
  3. Python(x,y)
• Using one of our executable installers, which can be found here.

• Using our DMG installer, which can be found here.
• Using the Anaconda Distribution.
• Through MacPorts.

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

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.

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.

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.

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).

• Python 2.7 or 3.3+
• 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: Rich text mode for the Help pane
• 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.
• Path.py and pickleshare: Show import completions on the Editor and consoles

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.

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

• For code development please go to:

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

• For bug reports and feature requests:

  https://github.com/spyder-ide/spyder/issues

• For discussions and troubleshooting:

  http://groups.google.com/group/spyderlib