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SciPy
https://scipy.org/
WEBApr 2, 2024 · Fundamental algorithms for scientific computing in Python. Get started. SciPy 1.13.0 released! 2024-04-02. Fundamental algorithms. SciPy provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics and many other classes of problems. Broadly applicable.
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scipy · PyPI
https://pypi.org/project/scipy/
WEBApr 2, 2024 · Fundamental algorithms for scientific computing in Python. Project description. SciPy (pronounced “Sigh Pie”) is an open-source software for mathematics, science, and engineering. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more.
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SciPy - Installation
https://scipy.org/install/
WEBYou can install SciPy from PyPI with pip: python -m pip install scipy Installing via Conda# You can install SciPy from the defaults or conda-forge channels with conda: conda install scipy Install system-wide via a package manager# System package managers can install the most common Python packages.
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SciPy User Guide — SciPy v1.13.0 Manual
https://docs.scipy.org/doc/scipy/tutorial/index.html
WEBSciPy is a collection of mathematical algorithms and convenience functions built on NumPy. It adds significant power to Python by providing the user with high-level commands and classes for manipulating and visualizing data.
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SciPy documentation — SciPy v1.13.0 Manual
https://docs.scipy.org/doc/scipy/
WEBDate: April 03, 2024 Version: 1.13.0. Download documentation: https://docs.scipy.org/doc/ Useful links : Install | Source Repository | Issues & Ideas | Q&A Support | Mailing List. SciPy (pronounced “Sigh Pie”) is an open-source software for mathematics, science, and engineering. User guide.
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Integration (scipy.integrate) — SciPy v1.13.0 Manual
https://docs.scipy.org/doc/scipy/tutorial/integrate.html
WEBThe scipy.integrate sub-package provides several integration techniques including an ordinary differential equation integrator. An overview of the module is provided by the help command:
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Numpy and Scipy Documentation — Numpy and Scipy documentation
https://docs.scipy.org/doc/
WEBWelcome! This is the documentation for Numpy and Scipy. For contributors: Numpy developer guide. Scipy developer guide. Latest releases: Complete Numpy Manual. [HTML+zip] Numpy Reference Guide. [PDF] Numpy User Guide. [PDF] F2Py Guide. SciPy Documentation. [HTML+zip] Others: For newer versions see https://www.numpy.org/doc.
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Getting started — SciPy.org
https://new.scipy.org/getting-started.html
WEBGetting started ¶. Got the SciPy packages installed? Wondering what to do next? “Scientific Python” doesn’t exist without “Python”. SciPy skills need to build on a foundation of standard programming skills. While Python itself has an official tutorial , countless resources exist online, in hard copy, in person, or whatever format you prefer.
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SciPy API — SciPy v1.13.0 Manual
https://docs.scipy.org/doc/scipy/reference/
WEBIn Python, the distinction between what is the public API of a library and what are private implementation details is not always clear. Unlike in other languages like Java, it is possible in Python to access “private” functions or objects.
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Introduction — SciPy v1.8.0 Manual
https://docs.scipy.org/doc/scipy-1.8.0/tutorial/general.html
WEBSciPy is a collection of mathematical algorithms and convenience functions built on the NumPy extension of Python. It adds significant power to the interactive Python session by providing the user with high-level commands and classes for …
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