reapxdev/pypi-scraper huggingface dataset:
nest-asyncio 1.6.0 — Patch asyncio to allow nested event loops
Author: Ewald R. de Wit
License: BSD 
Keywords: asyncio,nested,eventloop
Requires Python: >=3.5

|Build| |Status| |PyPiVersion| |License| |Downloads|

Introduction
------------

By design asyncio `does not allow <https://github.com/python/cpython/issues/66435>`_
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``.

Installation
------------

.. code-block::

    pip3 install nest_asyncio

Python 3.5 or higher is required.

Usage
-----

.. code-block:: python

    import nest_asyncio
    nest_asyncio.apply()

Optionally the specific loop that needs patching can be given
as argument to ``apply``, otherwise the current event loop is used.
An event loop can be patched whether it is already running
or not. Only event loops from asyncio can be patched;
Loops from other projects, such as uvloop or quamash,
generally can't be patched.


.. |Build| image:: https://github.com/erdewit/nest_asyncio/actions/workflows/test.yml/badge.svg?branche=master
   :alt: Build
   :target: https://github.com/erdewit/nest_asyncio/actions

.. |PyPiVersion| image:: https://img.shields.io/pypi/v/nest_asyncio.svg
   :alt: PyPi
   :target: https://pypi.python.org/pypi/nest_asyncio

.. |Status| image:: https://img.shields.io/badge/status-stable-green.svg
   :alt:

.. |License| image:: https://img.shields.io/badge/license-BSD-blue.svg
   :alt:

.. |Downloads| image:: https://static.pepy.tech/badge/nest-asyncio/month
   :alt: Number of downloads
   :target: https://pepy.tech/project/nest-asyncio
numba 0.66.0 — compiling Python code using LLVM
License: BSD 
Requires Python: >=3.10
Dependencies: llvmlite<0.49,>=0.48.0dev0, numpy<2.5,>=1.22

*****
Numba
*****

.. image:: https://img.shields.io/badge/discuss-on%20discourse-blue
   :target: https://numba.discourse.group/
   :alt: Discourse

.. image:: https://zenodo.org/badge/doi/10.5281/zenodo.4343230.svg
   :target: https://doi.org/10.5281/zenodo.4343230
   :alt: Zenodo

.. image:: https://img.shields.io/pypi/v/numba.svg
   :target: https://pypi.python.org/pypi/numba/
   :alt: PyPI

.. image:: https://dev.azure.com/numba/numba/_apis/build/status/numba.numba?branchName=main
    :target: https://dev.azure.com/numba/numba/_build/latest?definitionId=1?branchName=main
    :alt: Azure Pipelines

A Just-In-Time Compiler for Numerical Functions in Python
#########################################################

Numba is an open source, NumPy-aware optimizing compiler for Python sponsored
by Anaconda, Inc.  It uses the LLVM compiler project to generate machine code
from Python syntax.

Numba can compile a large subset of numerically-focused Python, including many
NumPy functions.  Additionally, Numba has support for automatic
parallelization of loops, generation of GPU-accelerated code, and creation of
ufuncs and C callbacks.

For more information about Numba, see the Numba homepage:
https://numba.pydata.org and the online documentation:
https://numba.readthedocs.io/en/stable/index.html

Installation
============

Please follow the instructions:

https://numba.readthedocs.io/en/stable/user/installing.html

Demo
====

Please have a look and the demo notebooks via the mybinder service:

https://mybinder.org/v2/gh/numba/numba-examples/master?filepath=notebooks

Contact
=======

Numba has a discourse forum for discussions:

* https://numba.discourse.group