scipy · PyPI

Some features may not work without JavaScript. Please try enabling it if you encounter problems.

SciPy: Scientific Library for Python

These details have been verified by PyPI

Owner

SciPy

Maintainers

matthew.brett pv rgommers rkern teoliphant treddy

These details have not been verified by PyPI

Project links

Development Status
- 4 - Beta
Intended Audience
- Developers
- Science/Research
License
- OSI Approved
Operating System
- MacOS
- Microsoft :: Windows
- POSIX
- Unix
Programming Language
- C
- Python
Topic
- Scientific/Engineering
- Software Development

Project description

SciPy (pronounced “Sigh Pie”) is open-source software for mathematics,: science, and engineering. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world’s leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!

Supported by

AWS

AWS Cloud computing and Security Sponsor

Datadog

Datadog Monitoring

Fastly

Google

Google Download Analytics

Pingdom

Pingdom Monitoring

Sentry

Sentry Error logging

StatusPage

StatusPage Status page