The release of the library for scientific, mathematical, and engineering calculations SciPy 1.8.0 has taken place. SciPy provides a large collection of modules for tasks such as computing integrals, solving differential equations, image processing, statistical analysis, interpolation, applying Fourier transforms, finding function extrema, vector operations, analog signal processing, working with sparse matrices, etc. The project code is distributed under the BSD license and utilizes a high-performance implementation of multidimensional arrays from the NumPy project.
The new version of SciPy offers an initial implementation of an API for working with sparse arrays, the majority of whose elements are zero. To perform computations with large sparse datasets, the SVD library PROPACK is included, with its functions available through the submodule 'scipy.sparse.svds' when setting the parameter 'solver=’PROPACK.' A new submodule 'scipy.stats.sampling' has been added, providing an interface to the C library UNU.RAN, designed for sampling arbitrary one-dimensional heterogeneous continuous and discrete distributions. All private namespaces that do not use the underscore character in their names have been deprecated.
Source: opennet.ru
