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Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...
FastAPI is a high-performance web framework for building HTTP-based service APIs in Python 3.8+. [3] It uses Pydantic and type hints to validate , serialize and deserialize data. FastAPI also automatically generates OpenAPI documentation for APIs built with it. [ 4 ]
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]
The SAI was first included in Python 3.11, which was measured to be 25% faster on average than Python 3.10 by the "pyperformance" benchmark suite. [ 12 ] In 2024, an experimental Just-in-time compiler was merged into CPython's main development branch.
This makes it possible to integrate Python scripts with existing .NET applications or use .NET components within Python projects. Syntax and Semantics: IronPython aims to be as close as possible to the standard Python language (CPython), though there might be minor differences due to the underlying .NET platform.
On 21 March 2017, the PyPy project released version 5.7 of both PyPy and PyPy3, with the latter introducing beta-quality support for Python 3.5. [25] On 26 April 2018, version 6.0 was released, with support for Python 2.7 and 3.5 (still beta-quality on Windows). [26] On 11 February 2019, version 7.0 was released, with support for Python 2.7 and ...
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.
To use multiple CPU cores, one would still need to build an interprocess communication system on top of Stackless Python processes. Due to the considerable number of changes in the source, Stackless Python cannot be installed on a preexisting Python installation as an extension or library. It is instead a complete Python distribution in itself.
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