- 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. 16. 0 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
- Getting started — SciPy. org
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
- SciPy - Beginner Installation Guide
To try out SciPy, you don’t even need to install it! You can use SciPy in your browser at https: jupyter org try-jupyter lab - just open a Python Notebook, then write import scipy in one of the notebook “cells” and hit play
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