Python Resources

a Python-based ecosystem of open-source software for mathematics, science, and engineering.

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries.

scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction.

an open source machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support vector machines, logistic regression, naive Bayes, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. 0.13.1 released (February 3, 2014) This is a scheduled bugfix release for 0.13.0, with multiple issues and regressions addressed, and several back-compatible enhancements introduced. See the Release Notes to read all about it.

matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell (ala MATLAB or Mathematica), web application servers, and six graphical user interface toolkits.

Kivy - Open source Python library for rapid development of applications that make use of innovative user interfaces, such as multi-touch apps.

IPython provides a rich architecture for interactive computing with: Powerful interactive shells (terminal and Qt-based). A browser-based notebook with support for code, text, mathematical expressions, inline plots and other rich media. Support for interactive data visualization and use of GUI toolkits. Flexible, embeddable interpreters to load into your own projects. Easy to use, high performance tools for parallel computing.

Spyder is the Scientific PYthon Development EnviRonment: a powerful interactive development environment for the Python language with advanced editing, interactive testing, debugging and introspection features and a numerical computing environment thanks to the support of IPython (enhanced interactive Python interpreter) and popular Python libraries such as NumPy (linear algebra), SciPy (signal and image processing) or matplotlib (interactive 2D/3D plotting).

plotly is an online collaborative data analysis and graphing tool.

Completely free enterprise-ready Python distribution for large-scale data processing, predictive analytics, and scientific computing

Wakari is Continuum Analytics' hosted online data analysis environment.

WinPython is a free open-source portable distribution of the Python programming language for Windows XP/7/8, designed for scientists

Enthought Canopy is a comprehensive Python analysis environment with easy installation and updates of the proven Enthought Python distribution - all part of a robust platform you can explore, develop and visualize on.

The official home of the Python Programming Language