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python3-netifaces-0.11.0-2.fc36.x86_64
This package provides a cross platform API for getting address information
from network interfaces.
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python3-networkx-3.4.2-1.lbn36.noarch
NetworkX is a Python 3 package for the creation, manipulation, and
study of the structure, dynamics, and functions of complex networks.
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python3-newt-0.52.21-12.lbn36.x86_64
The python3-newt package contains the Python 3 bindings for the newt library
providing a python API for creating text mode interfaces.
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python3-nftables-1.0.1-3.fc36.x86_64
The nftables python module provides an interface to libnftables via ctypes.
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python3-nosexcover-1.0.11-1.lbn36.noarch
nose-xmlcover --A companion to the built-in nose.plugins.cover, this plugin
will write out an XML coverage report to a file named coverage.xml.It will
honor all the options you pass to the Nose coverage plugin < especially
--cover- package.UsageYou can not use both --with-xcoverage and --with-
coverage. Using --with-xcover implies --with-coverageIf you want to change the
name of the output file...
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python3-notebook-7.2.0-1.lbn36.noarch
The Jupyter Notebook is a web application that allows you to create and
share documents that contain live code, equations, visualizations, and
explanatory text. The Notebook has support for multiple programming
languages, sharing, and interactive widgets.
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python3-numexpr-2.10.2-2.lbn36.x86_64
The numexpr package evaluates multiple-operator array expressions many times
faster than NumPy can. It accepts the expression as a string, analyzes it,
rewrites it more efficiently, and compiles it to faster Python code on the
fly. It’s the next best thing to writing the expression in C and compiling it
with a specialized just-in-time (JIT) compiler, i.e. it does not require a
compiler at runtime.
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python3-numpy-2.2.4-1.lbn36.x86_64
NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays. NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type.
There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation. Also included in
this package is a version of f2py that works properly with NumPy.
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python3-numpy-f2py-2.2.4-1.lbn36.x86_64
This package includes a version of f2py that works properly with NumPy.
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python3-numpy-stl-2.16.3-1.fc36.x86_64
Simple library to make working with STL files (and 3D objects in general) fast
and easy. Due to all operations heavily relying on NumPy this is one of the
fastest STL editing libraries for Python available.
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