#PYTHON BASIC DATA SCIENCE COMMANDS INSTALL#
SciPy binaries can be downloaded from the Python Package Index, or by typing pip install scipy. Better compatibility with the alternative Python runtime PyPy, which includes a JIT compiler for faster long-running code.Better support for functions in LAPACK, a Fortran package for solving common linear equation problems.Constant improvements and updates to SciPy’s submodules, with more functionality, better documentation, and many new algorithms - e.g., a new fast Fourier transform module with better performance and modernized interfaces.Deprecation of Python 2.7 support, and a subsequent modernization of the code base.Since the SciPy 1.0 release in 2017, the project has delivered seven major point releases, with many improvements along the way: This last feature means Windows users can now use SciPy without having to jump through additional hoops. But it also included a process for continuous integration for the MacOS and Windows builds, as well as proper support for prebuilt Windows binaries.
The trigger for bringing the SciPy project to version 1.0, according to core developer Ralf Gommers, was chiefly a consolidation of how the project was governed and managed. But for the longest time, it didn’t have a proper 1.0 release, although it had strong backward compatibility across versions. SciPy has long been useful for providing convenient and widely used tools for working with math and statistics.
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