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Matplotlib (portmanteau of MATLAB, plot, and library [3]) is a plotting library for the Python programming language and its numerical mathematics extension NumPy.It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.
Python (programming language) scientific libraries (36 P) Pages in category "Python (programming language) libraries" The following 43 pages are in this category, out of 43 total.
SciPy (pronounced / ˈ s aɪ p aɪ / "sigh pie" [2]) is a free and open-source Python library used for scientific computing and technical computing. [3]SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...
Ninja-IDE, free software, written in Python and Qt, Ninja name stands for Ninja-IDE Is Not Just Another IDE; PyCharm, a proprietary and Open Source IDE for Python development. PythonAnywhere, an online IDE and Web hosting service. Python Tools for Visual Studio, Free and open-source plug-in for Visual Studio. Spyder, IDE for scientific programming.
Astropy is a collection of software packages written in the Python programming language and designed for use in astronomy. [2] The software is a single, free, core package for astronomical utilities due to the increasingly widespread usage of Python by astronomers, and to foster interoperability between various extant Python astronomy packages. [3]
SFML is free and open-source software provided under the terms of the zlib/png license. It is available on Linux , macOS , Windows and FreeBSD . [ 6 ] [ 7 ] The first version v1.0 was released on 9 August 2007, and the latest version, v3.0.0, was released on 21 December 2024.
Julia has ccall keyword to call C (and other languages, e.g., Fortran); [15] while packages, providing similar no-boilerplate support, are available for some languages e.g., for Python [16] (to e.g. provide OO support and GC support), Java (and supports other JDK-languages, such as Scala) and R. Interactive use with C++ is also possible with ...