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- SciPy
SciPy provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics and many other classes of problems
- SciPy documentation — SciPy v1. 15. 3 Manual
SciPy (pronounced “Sigh Pie”) is an open-source software for mathematics, science, and engineering User guide The user guide provides in-depth information on the key concepts of SciPy with useful background information and explanation
- SciPy - Installation
If you are a beginner and just want to get started with SciPy as quickly as possible, check out the beginner installation guide! The recommended method of installing SciPy depends on your preferred workflow
- SciPy library — SciPy. org
The SciPy library is one of the core packages that make up the SciPy stack It provides many user-friendly and efficient numerical routines, such as routines for numerical integration, interpolation, optimization, linear algebra, and statistics
- Scientific computing tools for Python — SciPy. org
The SciPy library, a collection of numerical algorithms and domain-specific toolboxes, including signal processing, optimization, statistics, and much more Matplotlib, a mature and popular plotting package that provides publication-quality 2-D plotting, as well as rudimentary 3-D plotting
- Numpy and Scipy Documentation
Numpy and Scipy Documentation¶ Welcome! This is the documentation for Numpy and Scipy For contributors:
- SciPy. org
SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering In particular, these are some of the core packages: NumPy
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