Scikit-learn is a free and open source machine learning library for Python that provides classification, clustering and regression algorithms
Features
- Powerful and fast. Python lets you write the code you need, quickly. And, thanks to a highly optimized byte compiler and support libraries, Python code runs more than fast enough for most applications.
- Runs everywhere. Python is available for all major operating systems: Windows, Linux/Unix, OS/2, Mac, Amiga, among others.
- Easily integrated. Python can integrate with .COM, .NET, and .CORBA objects. There are implementation of Python for Java libraries and for .NET objects. Python is also supported for the Internet Communications Engine (ICE) and for many other integration technologies.
- Clear & readable syntax. That is why Python is friendly and easy to learn. Python developer and user community maintains a wiki, hosts international and local conferences, runs development sprints, and contributes to online code repositories.
- Freely usable and distributable. The Python implementation is under an open source license that makes it freely usable. Python is free to use, even for commercial products, because of its OSI-approved open source license.
Historical Background
Python was created in the early 1990s by Guido van Rossum at Stichting Mathematisch Centrum in the Netherlands as a successor of a language called ABC. Guido remains Python’s principal author, although it includes many contributions from others. In 1995, Guido continued his work on Python at the Corporation for National Research Initiatives in Reston, Virginia where he released several versions of the software.
In May 2000, Guido and the Python core development team moved to BeOpen.com to form the BeOpen PythonLabs team. In October of the same year, the PythonLabs team moved to Digital Creations. In 2001, the Python Software Foundation was formed, a non-profit organization created specifically to own Python-related Intellectual Property. Zope Corporation is a sponsoring member of the PSF.
Python software
Python is one of the powerful dynamic programming languages, which is widely used for developing various web systems, including:
Caravel is Python-based open-source platform for data exploration, discovery, and collaborative analytics. This platform is interactive and intuitive, easily processes and visualizes data.
wger is a free and open source workout, exercises and nutrition manager. This application is written in Python, offers smooth performance and easy mobile-friendly user interface.
NearPy is a small open source framework for ANN search in large, high-dimensional data sets.
Moya is an open source web development platform built with Python that offers its own executable code to build content
Jasper is applied to develop always-on, voice-controlled applications with Raspberry Pi.
Folium is a powerful Python library that visualizes data manipulated in Python on maps with choropleth visualizations and Vincent/Vega markers.
The ETE toolkit provides Python-based tools for automated manipulation, analysis and visualization of any type of hierarchical trees.
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Silver is a standalone Python/Django package for automatic billing
Lector is an open source cross-platform static content management system. It allows building of complex websites out of flat files. It is written in Python and Node.js.
Connect is an open-source Python/Django-based communication platform used by the Organizing for Action.
PlatformIO is an open source ecosystem for IoT development that includes cross-platform code builder and library manager.
Kinto is an open source JSON storage service that offers synchronisation and sharing features. It is lightweight, implemented in Python and built using Cliquet.
Glances is a free and open source resources-friendly system monitoring tool written in Python.