SciPy
A Python library for scientific computing in Python, covering optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more
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| + | Numerical Integration | Tool for calculating definite integrals |
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| + | ODE Solvers | Solvers for ordinary differential equations allow simulations and analysis of these systems |
| + | Optimization | Helps find minimum or maximum values of functions, essential for tasks like model fitting, machine learning, and resource allocation |
| + | Linear Algebra | Tools for matrix operations, solving linear systems, and more |
| + | Fourier Transforms | Used for frequency analysis of signals and images, critical for signal processing, image compression, and data analysis |
| + | Interpolation | Helps estimate values between known data points, useful for data visualization, signal processing, and engineering applications |
| + | Statistics | Functions for descriptive statistics (mean, variance, etc.), hypothesis testing, and random sampling, are essential for data analysis |
| + | Sparse Matrices | Offers efficient data structures and algorithms for handling sparse matrices (matrices with many zero entries), for large-scale problems in scientific computing |
| + | Wavelets | Tools for wavelet transformation and processing. |
| + | Multidimensional Image Processing | Extends image processing capabilities |
System Requirements
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Ratings
4.505
| SourceForge | 4.55 based on 27 reviews |
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Written in
Python, Fortran, C, C++
Initial Release
14 August 2001