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Anaconda is an open source [9] [10] data science and artificial intelligence distribution platform for Python and R programming languages. Developed by Anaconda, Inc. , [ 11 ] an American company [ 1 ] founded in 2012, [ 11 ] the platform is used to develop and manage data science and AI projects. [ 9 ]
Official tier-2 support exists for Linux for 64-bit ARM, wasm32 (Web Assembly) with WASI runtime support, and Linux for 64-bit Intel using a clang toolchain. Official supported tier-3 systems include 64-bit ARM Windows, 64-bit iOS, Raspberry Pi OS (Linux for armv7 with hard float), Linux for 64-bit PowerPC in little-endian mode, and Linux for ...
Python Imaging Library is a free and open-source additional library for the Python programming language that adds support for opening, manipulating, and saving many different image file formats. It is available for Windows, Mac OS X and Linux. The latest version of PIL is 1.1.7, was released in September 2009 and supports Python 1.5.2–2.7. [3]
Release 2.7.2.1 was released on March 13, 2012. It enables support for ZIP file format libraries, SQLite, and compiled executables. [13] Release 2.7.4 was released on September 7, 2013. [14] Release 2.7.5 was released on December 6, 2014 and mostly consists of bug fixes. [15] Release 2.7.6 was released on August 21, 2016 and only consists of ...
Since 7 October 2024, Python 3.13 is the latest stable release, and it and, for few more months, 3.12 are the only releases with active support including for bug fixes (as opposed to just for security) and Python 3.9, [55] is the oldest supported version of Python (albeit in the 'security support' phase), due to Python 3.8 reaching end-of-life.
These executables can run on a system without Python installed. [3] It is the most common tool for doing so. py2exe was used to distribute the official BitTorrent client (before the version 6.0) and is still used to distribute SpamBayes as well as other projects. Since May 2014, version 0.9.2.0 of py2exe is available for Python 3. [1]
Pip's command-line interface allows the install of Python software packages by issuing a command: pip install some-package-name. Users can also remove the package by issuing a command: pip uninstall some-package-name. pip has a feature to manage full lists of packages and corresponding version numbers, possible through a "requirements" file. [14]
Python 2.6 was released to coincide with Python 3.0, and included some features from that release, as well as a "warnings" mode that highlighted the use of features that were removed in Python 3.0. [ 28 ] [ 10 ] Similarly, Python 2.7 coincided with and included features from Python 3.1, [ 29 ] which was released on June 26, 2009.