Release of SciPy 1.5.0, a library for scientific and engineering calculations

Took place release of the library for scientific, mathematical and engineering calculations SciPy 1.5.0. SciPy provides a large collection of modules for tasks such as calculating integrals, solving differential equations, image processing, statistical analysis, interpolation, applying Fourier transforms, finding the extremum of a function, vector operations, converting analog signals, working with sparse matrices, etc. Project code spreads licensed under the BSD license and uses a high performance implementation of multidimensional arrays from the project NumPy.

SciPy 1.5 adds support for new linear algebra package routines to the scipy.linalg.lapack layer LAPACK (Linear Algebra PACKage). Improved use of 64-bit integer types in linear algebra backends. For Kolmogorov-Smirnov homogeneity criterion support for addition of probability distributions has been implemented. Improvements have been made to the scipy.cluster, scipy.fft, scipy.io, scipy.linalg, scipy.optimize, scipy.signal, scipy.sparse, scipy.spatial, scipy.special, and scipy.stats modules.

Dependency requirements have been increased to require Python 3.6+ and NumPy 1.14.5 or PyPy3 6.0+ and NumPy 1.15.0 to work.

Source: opennet.ru