by Christoph Gohlke, Laboratory for Fluorescence Dynamics, University of California, Irvine. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The release 2020.1 is almost entirely Python 2 compatible, so you may use it as a reference if necessary.
The SciPy Lecture Notes dropped Python 2 support in 2020.
#SCIPY PYTHON SOFTWARE#
NumPy and many scientific software libraries dropped Python 2 support or will do so soon, see the Python 3 statement.
#SCIPY PYTHON CODE#
It’s more like library code in the vein of numpy and scipy. SciPy: Scientific Library for Python Project description SciPy (pronounced Sigh Pie) is open-source software for mathematics, science, and engineering. Most scientific libraries have moved to Python 3. Scipy.stats has all of the probability distributions and some statistical tests. Statsmodels has scipy.stats as a dependency. So, are we getting hamstrung by only offering a macOS 64-bit universal2 installer? Do we need to build our own MacOS Python 3. Unofficial Windows Binaries for Python Extension Packages. Although statsmodels is not part of scipy.stats they work great in tandem.some very important functions worth to mention in here. The MacOS Python 3.10 x86_64 test suite results are basically the same using Isuru's multibuild branch and master of the wheels repo and my various multibuild hacks on the wheels repo backport, so I'm not really convinced that I need to backport a ton more stuff on config.sh as long as x86_64 codepath is triggered one way or the other, though we probably will do that because at least the wheel has a more appropriate name and there is less random hacking of multibuild that way.
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