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Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [37] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community. [38] [39] [40] [41]
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.
In 2011, the Python Packaging Authority (PyPA) was created to take over the maintenance of pip and virtualenv from Bicking, led by Carl Meyer, Brian Rosner, and Jannis Leidel. [ 10 ] With the release of pip version 6.0 (2014-12-22), the version naming process was changed to have version in X.Y format and drop the preceding 1 from the version label.
Jim Hugunin created the project and actively contributed to it up until Version 1.0 which was released on September 5, 2006. [6] IronPython 2.0 was released on December 10, 2008. [7] After version 1.0 it was maintained by a small team at Microsoft until the 2.7 Beta 1 release.
[3] [4] After several debates, a project was launched in 2023 to propose making the GIL optional from version 3.13 of Python, [ 5 ] which is scheduled for release in October 2024. [ 6 ]
Numeric literals in Python are of the normal sort, e.g. 0, -1, 3.4, 3.5e-8. Python has arbitrary-length integers and automatically increases their storage size as necessary. Prior to Python 3, there were two kinds of integral numbers: traditional fixed size integers and "long" integers of arbitrary size.
It was used for versions 1.6 and 2.0 of the Python programming language, both released in the year 2000. The Python License is similar to the BSD License and, while it is a free software license , its wording in some versions meant that it was incompatible with the GNU General Public License (GPL) used by a great deal of free software including ...
Pytest is a Python testing framework that originated from the PyPy project. It can be used to write various types of software tests, including unit tests, integration tests, end-to-end tests, and functional tests.