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Author:
Furox-Art
Summary:
A NumPy/SciPy/Pandas/Matplotlib-powered scientific computing platform: accelerated linear algebra, statistics, optimization, integration, interpolation, signal processing, Monte Carlo, graphs (with PageRank), machine learning, time series, visualization and I/O.
Latest version:
5.4.4
Required dependencies:
matplotlib
|
numpy
|
pandas
|
scipy
Optional dependencies:
cupy-cuda12x
|
hypothesis
|
mkdocs
|
mkdocs-material
|
mkdocstrings
|
mypy
|
networkx
|
numpy
|
openpyxl
|
pandas-stubs
|
pyarrow
|
pytest
|
pytest-cov
|
ruff
|
scikit-learn
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