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Detailed examples of the specification of execution models of a few popular languages include those of Python, [1] the execution model of the Unified Parallel C (UPC) programming language, [2] a discussion of various classes of execution model such as for imperative versus functional languages, [3] and an article discussing execution models for ...
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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.
[2] [3] [4] It was created in 2008 by Jeff Atwood and Joel Spolsky. [5] [6] It features questions and answers on certain computer programming topics. [7] [8] [9] It was created to be a more open alternative to earlier question and answer websites such as Experts-Exchange.
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
PyCharm is an integrated development environment (IDE) used for programming in Python. It provides code analysis, a graphical debugger, an integrated unit tester, integration with version control systems, and supports web development with Django. PyCharm is developed by the Czech company JetBrains and built on their IntelliJ platform. [4]
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.
The name is derived from the term "panel data", an econometrics term for data sets that include observations over multiple time periods for the same individuals, [3] as well as a play on the phrase "Python data analysis". [4]: 5 Wes McKinney started building what would become Pandas at AQR Capital while he was a researcher there from 2007 to ...