- A word of warning: building SciPy from source can be a nontrivial exercise.
- This guide will describe how to set up your build environment, and how to build SciPy itself, including the many options for customizing that build.
- NumPy contains array data and basic operations such as sorting, indexing, etc whereas, SciPy consists of all the numerical code.
- NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world’s leading scientists and engineers.
- Version:1.14.1 · 21 August 2024
pip install scipy - SciPy (pronounced "Sigh Pie") is an open-source software for mathematics, science, and engineering.
- Issues:1.5k
- Last commit:21 August 2024
- SciPy (pronounced /ˈsaɪpaɪ/ "sigh pie") is a free and open-source Python library used for scientific computing and technical computing.
- SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering.
- By contrast, Scipy’s routines are optimized and tested, and should therefore be used when possible.