SciPy
| SciPy | |
|---|---|
| Basic data
|
|
| Current version |
1.5.2 ( July 24, 2020 ) |
| operating system | Platform independent |
| programming language | Python , Fortran , C |
| License | BSD (new) |
| www.scipy.org | |
SciPy is an open source Python -based software environment that is primarily used by scientists, analysts and engineers for scientific computing , visualization and related activities. The name SciPy also denotes a specific Python library with numerical algorithms and mathematical tools that form a core component of the SciPy environment. The SciPy environment contains the NumPy package as a numerics base library , which supplements Python with efficient data types for large, multidimensional vectors and matrices . In addition, SciPy includes the mentioned SciPy library with algorithms for numerical integration and numerical optimization as well as a growing number of additional libraries for various problems in the field of computer-aided numerical computing, e.g. B. IPython , Matplotlib , pandas and SymPy .
As a complete system, SciPy includes modules for numerical optimization, linear algebra , numerical integration, interpolation , FFT , signal processing , image processing , numerical integration of ordinary differential equations and symbolic mathematics .
The name SciPy also stands for a family of global conferences for users and developers of SciPy and the subsystems it contains: SciPy (in the USA ), EuroSciPy (in Europe ) and SciPy.in (in India ).
Web links
- Official website (English)
- Python Scientific Lecture Notes (English)
Individual evidence
- ↑ Release 1.5.2 . July 24, 2020 (accessed July 24, 2020).
- ↑ SciPy Team: How can SciPy be fast if it is written in an interpreted language like Python? . Retrieved October 7, 2014.
- ^ SciPy Conferences . Retrieved October 7, 2014.