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Python Tools for Visual Studio (PTVS) is a free and open-source plug-in for versions of Visual Studio up to VS 2015 providing support for programming in Python. Since VS 2017, it is integrated in VS and called Python Support in Visual Studio. It supports IntelliSense, debugging, profiling, MPI cluster debugging, mixed C++/Python debugging, and ...
Visual Studio Code, commonly referred to as VS Code, [8] is an integrated development environment developed by Microsoft for Windows, Linux, macOS and web browsers. [ 9 ] [ 10 ] Features include support for debugging , syntax highlighting , intelligent code completion , snippets , code refactoring , and embedded version control with Git .
Editions of Windows targeting embedded and IoT systems are considered outside the scope of Python's official support policy. Windows 8 (no official support in any major releases of Python since January 10, 2023) Windows 7 (no official support in any major releases of Python since January 14, 2020) Windows Vista (unsupported since 3.9)
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Code completion is an autocompletion feature in many integrated development environments (IDEs) that speeds up the process of coding applications by fixing common mistakes and suggesting lines of code. This usually happens through popups while typing, querying parameters of functions, and query hints related to syntax errors.
IronPython allows running Python 2.7 programs (and an alpha, released in 2021, is also available for "Python 3.4, although features and behaviors from later versions may be included" [165]) on the .NET Common Language Runtime. [166] Jython compiles Python 2.7 to Java bytecode, allowing the use of the Java libraries from a Python program. [167]
The default can be overridden (e.g. in source code comment) to Python 3 (or 2) syntax. Since Python 3 syntax has changed in recent versions, Cython may not be up to date with the latest additions. Cython has "native support for most of the C++ language" and "compiles almost all existing Python code". [7] Cython 3.0.0 was released on 17 July ...
The rules a compiler applies to the source creates implicit standards. For example, Python code is much more consistently indented than, say Perl, because whitespace (indentation) is actually significant to the interpreter. Python does not use the brace syntax Perl uses to delimit functions. Changes in indentation serve as the delimiters.