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python3-mdit-py-plugins-0.4.2-1.lbn36.noarch
Collection of core plugins for markdown-it-py.
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python3-mdurl-0.1.2-7.lbn36.noarch
URL utilities for markdown-it parser.
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python3-molecule-4.0.4-5.lbn36.noarch
Molecule is designed to aid in the development and testing of Ansible roles.
Molecule provides support for testing with multiple instances, operating
systems and distributions, virtualization providers, test frameworks and
testing scenarios. Molecule is opinionated in order to encourage an approach
that results in consistently developed roles that are well-written, easily
understood and maintained. Molecule uses Ansible playbooks to exercise the role
and its associated tests. Molecule supports any provider that Ansible supports.
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python3-munch-2.5.0-8.fc36.noarch
munch is a fork of David Schoonover's **Bunch** package, providing similar
functionality. 99% of the work was done by him, and the fork was made
mainly for lack of responsiveness for fixes and maintenance on the original
code.
Munch is a dictionary that supports attribute-style access, a la
JavaScript.
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python3-mypy-1.9.0-1.lbn36.noarch
Add type annotations to your Python programs, and use mypy to type
check them. Mypy is essentially a Python linter on steroids, and it
can catch many programming errors by analyzing your program, without
actually having to run it. Mypy has a powerful type system with
features such as type inference, gradual typing, generics and union
types.
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python3-mypy-boto3-appflow-1.26.15-1.lbn36.noarch
<a id"mypy-boto3-appflow"></a> mypy-boto3-appflow[ is a
Python library that implements a set of functions to interact with different
router vendor devices using a unified API.
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python3-nasdaq-data-link-1.0.4-1.lbn36.noarch
Official Nasdaq Data Link API Client for Python A Python library for Nasdaq
Data Link's RESTful API.You can install this package by using the pip tool and
installing: $ pip install nasdaq-data-link
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python3-nbsphinx-0.8.7-2.fc36.noarch
nbsphinx is a Sphinx extension that provides a source parser for *.ipynb
files. Custom Sphinx directives are used to show Jupyter Notebook code cells
(and of course their results) in both HTML and LaTeX output. Unevaluated
notebooks, i.e. notebooks without stored output cells, will be automatically
executed during the Sphinx build process.
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