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IDLE (short for Integrated Development and Learning Environment) [2] [3] is an integrated development environment for Python, which has been bundled with the default implementation of the language since 1.5.2b1. [4] [5] It is packaged as an optional part of the Python packaging with many Linux distributions.
Mathics, an open-source implementation of the Mathematica programming language; Matplotlib, providing MATLAB-like plotting and mathematical functions (using NumPy). NumPy, a language extension that adds support for large and fast, multi-dimensional arrays and matrices; Plotly is a scientific plotting library for creating browser-based graphs.
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.
eric is written in the programming language Python and its primary use is for developing software written in Python. It is usable for development of any combination of Python 3 or Python 2, Qt 5 or Qt 4 and PyQt 5 or PyQt 4 projects, on Linux, macOS and Microsoft Windows platforms.
7.5.0 2020-01-10 Windows, Linux, macOS, FreeBSD, JVM, Solaris: Python: SWT: EPL: Yes Yes Yes (also remote, container, cluster, multi-threaded, and multi-process debugging) Unknown Unknown Unknown Unknown Yes Yes Unknown Yes Yes Yes Yes PyScripter Kiriakos Vlahos 4.2.5 2022-12-22 Windows: Delphi, Python: Unknown MIT: Unknown Yes ...
It is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language.Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software.
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CPython is the reference implementation of the Python programming language. Written in C and Python, CPython is the default and most widely used implementation of the Python language. CPython can be defined as both an interpreter and a compiler as it compiles Python code into bytecode before interpreting it.