Modified items

All recently modified items, latest first.

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...

python3-nftables-1.0.1-3.fc36.x86_64: The nftables python module provides an interface to libnftables via ctypes.

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.

python3-networkx-3.2.1-1.lbn36.noarch: NetworkX is a Python 3 package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

python3-netifaces-0.11.0-2.fc36.x86_64: This package provides a cross platform API for getting address information from network interfaces.

python3-netaddr-shell-0.8.0-8.fc36.noarch: An IPython-based shell environment for the netaddr library

python3-netaddr-1.2.1-1.lbn36.noarch: A Python library for representing and manipulating network addresses. Provides support for: Layer 3 addresses IPv4 and IPv6 addresses, subnets, masks, prefixes iterating, slicing, sorting, summarizing and classifying IP networks dealing with various ranges formats (CIDR, arbitrary ranges and globs, nmap) set based operations (unions, intersections etc) over IP addresses and subnets parsing a large variety of different formats and notations looking up IANA IP block information generating DNS reverse lookups supernetting and subnetting Layer 2 addresses representation and manipulation MAC addresses and EUI-64 identifiers looking up IEEE organisational information (OUI, IAB) generating derived IPv6 addresses Documentation: https:/netaddr.readthedocs.io/en/latest/ Source code repository: https:/github.com/netaddr/netaddr/ PyPI page: https:/pypi.org/project/netaddr/ Share and enjoy!

python3-nest-asyncio-1.5.4-2.fc36.noarch: By design asyncio does not allow its event loop to be nested. This presents a practical problem: When in an environment where the event loop is already running it's impossible to run tasks and wait for the result. Trying to do so will give the error "RuntimeError: This event loop is already running". The issue pops up in various environments, such as web servers, GUI applications and in Jupyter notebooks. This module patches asyncio to allow nested use of asyncio.run and loop.run_until_complete.

python3-nbformat-5.9.2-1.lbn36.noarch: This package contains the base implementation of the Jupyter Notebook format, and Python APIs for working with notebooks.

python3-nbconvert-7.16.4-1.lbn36.noarch: nbconvert Jupyter Notebook Conversion The nbconvert tool, jupyter nbconvert, converts notebooks to various other formats via Jinja templates. The nbconvert tool allows you to convert an .ipynb notebook file into various static formats including: HTML LaTeX PDF Reveal JS Markdown (md) ReStructured Text (rst) executable script Usage From the command line, use nbconvert to convert a Jupyter notebook (input) to a a different format (output). The basic command structure is: $ jupyter nbconvert --to <output format> <input notebook> where <output format> is the desired output format and <input notebook> is the filename of the Jupyter notebook. Example: Convert a notebook to HTML Convert Jupyter notebook file, mynotebook.ipynb, to HTML using: $ jupyter nbconvert --to html mynotebook.ipynb This command creates an HTML output file named mynotebook.html. Dev Install Check if pandoc is installed (pandoc --version); if needed, install: sudo apt-get install pandoc Or brew install pandoc I

python3-nbclient-0.5.10-2.fc36.noarch: NBClient, a client library for programmatic notebook execution, is a tool for running Jupyter Notebooks in different execution contexts. NBClient was spun out of nbconvert (formerly ExecutePreprocessor). NBClient lets you execute notebooks.

python3-mypy_extensions-1.0.0-4.lbn36.noarch: The "mypy_extensions" module defines experimental extensions to the standard "typing" module that are supported by the mypy typechecker. Python 3 version.

python3-munkres-1.1.2-11.fc36.noarch: The Munkres module provides an implementation of the Munkres algorithm (also called the Hungarian algorithm or the Kuhn-Munkres algorithm). The algorithm models an assignment problem as an NxM cost matrix, where each element represents the cost of assigning the ith worker to the jth job, and it figures out the least-cost solution, choosing a single item from each row and column in the matrix, such that no row and no column are used more than once.

python3-multipart-0.2.5-3.lbn36.noarch: This module provides a parser for the multipart/form-data format. It can read from a file, a socket or a WSGI environment. The parser can be used to replace cgi.FieldStorage to work around its limitations.

python3-multimapping-4.1-1.lbn36.noarch: MultiMapping provides special objects used in some Zope2 internals like ZRDB.Changelog 4.1 (2018-10-05) -- Add support for Python 3.7.4.0 (2017-05-17) -- Add __contains__ support.- Remove the Python 2-only C extension.3.1 (2017-04-26) -- Add support for Python 3.6, drop support for Python 2.6.3.0 (2016-04-03) -- Update compatibility to Python 3.4/3.5.- Add a pure-Python implementation used for...

python3-multidict-6.1.0-2.lbn36.x86_64: Multidict is dict-like collection of key-value pairs where key might occur more than once in the container.

python3-multi_key_dict-2.0.3-20.fc36.noarch: Implementation of a multi-key dictionary, i.e.: (key1[,key2, ..]) => value This dictionary has a similar interface to the standard dictionary => but is extended to support multiple keys referring to the same element.

python3-msgpack-1.0.3-2.fc36.x86_64: MessagePack is a binary-based efficient data interchange format that is focused on high performance. It is like JSON, but very fast and small. This is a Python 3.10 (de)serializer for MessagePack.

python3-mpmath-1.2.1-3.fc36.noarch: Mpmath is a pure-Python library for multiprecision floating-point arithmetic. It provides an extensive set of transcendental functions, unlimited exponent sizes, complex numbers, interval arithmetic, numerical integration and differentiation, root-finding, linear algebra, and much more. Almost any calculation can be performed just as well at 10-digit or 1000-digit precision, and in many cases mpmath implements asymptotically fast algorithms that scale well for extremely high precision work. If available, mpmath will (optionally) use gmpy to speed up high precision operations. If you require plotting capabilities in mpmath, install python3-matplotlib.


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