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python3-pydruid-0.5.6-1.lbn25.noarch
pydruidpydruid exposes a simple API to create, execute, and analyze [Druid](
queries. pydruid can parse query results into [Pandas]( DataFrame objects for
subsequent data analysis -- this offers a tight integration between [Druid](
the [SciPy]( stack (for scientific computing) and [scikit-learn]( (for machine
learning). pydruid can export query results into TSV or JSON for further
processing...
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python3-pydruid-0.6.5-1.lbn36.noarch
pydruidpydruid exposes a simple API to create, execute, and analyze [Druid](
queries. pydruid can parse query results into [Pandas]( DataFrame objects for
subsequent data analysis -- this offers a tight integration between [Druid](
the [SciPy]( stack (for scientific computing) and [scikit-learn]( (for machine
learning). pydruid can export query results into TSV or JSON for further
processing...
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python3-pydyf-0.10.0-2.lbn36.noarch
pydyf is a low-level PDF generator written in Python and based on PDF
specification 1.7.
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python3-pyeapi-0.8.4-1.lbn36.noarch
The Python Client for eAPI The Python Client for eAPI (pyeapi) is a native
Python library wrapper around Arista EOS eAPI. It provides a set of Python
language bindings for configuring Arista EOS nodes.The Python library can be
used to communicate with EOS either locally (on-box) or remotely (off-box). It
uses a standard INI-style configuration file to specify one or more nodes and
connection...
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python3-pyexasol-0.25.2-1.lbn36.noarch
Exasol driver with low overhead, fast HTTP transport and compression. It is
implemented in Python 3.6+.Main features:- Based on WebSocket protocol; -
Optimized for minimum overhead; - Easy integration with pandas via HTTP
transport; - Compression to reduce network bottleneck;PyEXASOL does not follow
DB-API 2.0 in favor of Exasol-specific features.Please read "Best practices"
manual page to...
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python3-pyflakes-1.2.2-1.lbn19.noarch
Pyflakes is similar to PyChecker in scope, but differs in that it does
not execute the modules to check them. This is both safer and faster,
although it does not perform as many checks. Unlike PyLint, Pyflakes
checks only for logical errors in programs; it does not perform any
check on style.
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python3-pyflakes-2.2.0-3.lbn25.noarch
Pyflakes is similar to PyChecker in scope, but differs in that it does
not execute the modules to check them. This is both safer and faster,
although it does not perform as many checks. Unlike PyLint, Pyflakes
checks only for logical errors in programs; it does not perform any
check on style.
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python3-pyflakes-3.0.1-1.lbn36.noarch
Pyflakes A simple program which checks Python source files for errors.Pyflakes
analyzes programs and detects various errors. It works by parsing the source
file, not importing it, so it is safe to use on modules with side effects. It's
also much faster.It is available on PyPI < and it supports all active versions
of Python: 3.6+.Installation It can be installed with:: $ pip install
--upgrade...
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python3-pygit2-1.7.1-3.fc36.x86_64
pygit2 is a set of Python bindings to the libgit2 library, which implements
the core of Git.
The python3-pygit2 package contains the Python 3 bindings.
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python3-pygithub-2.3.0-1.lbn36.noarch
PyGitHub
PyGitHub is a Python library to access the GitHub REST API.
This library enables you to manage GitHub resources such as repositories, user profiles, and organizations in your Python applications.
Install
pip install PyGithub
Simple Demo
from github import Github
from github import Auth
auth = Auth.Token("access_token")
g = Github(auth=auth)
g = Github(base_url="https:/{hostname}/api/v3", auth=auth)
for repo in g.get_user().get_repos():
print(repo.name)
g.close()
Documentation
More information can be found on the PyGitHub documentation site.
Development
Contributing
Long-term discussion and bug reports are maintained via GitHub Issues.
Code review is done via GitHub Pull Requests.
For more information read CONTRIBUTING.md.
Main
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