Python asyncio code is usually written in the form of coroutines, which makes it slightly more difficult to test using normal testing tools. pytest-asyncio provides useful fixtures and markers to make testing async code easier.

Python asyncio code is usually written in the form of coroutines, which makes it slightly more difficult to test using normal testing tools. pytest-asyncio provides useful fixtures and markers to make testing async code easier.

Python asyncio code is usually written in the form of coroutines, which makes it slightly more difficult to test using normal testing tools. pytest-asyncio provides useful fixtures and markers to make testing async code easier.

Python asyncio code is usually written in the form of coroutines, which makes it slightly more difficult to test using normal testing tools. pytest-asyncio provides useful fixtures and markers to make testing async code easier.

This package provides a drop-in replacement for requests.Session with caching offload to SQLite, Redis, MongoDB and AWS DynamoDB or save responses as planin JSON/YAML file or save responses as plain JSON/YAML files.

This Pytest plugin adds a cookies fixture, which is a wrapper for the Cookiecutter API. This fixture helps you verify that your template is working as expected and takes care of cleaning up after running the tests.

Python asyncio code is usually written in the form of coroutines, which makes it slightly more difficult to test using normal testing tools. pytest-asyncio provides useful fixtures and markers to make testing async code easier.

The lazr.delegates package makes it easy to write objects that delegate behavior to another object. The new object adds some property or behavior on to the other object, while still providing the underlying interface, and delegating behavior.

Pytest-httpbin creates a pytest fixture that is dependency-injected into your tests. It automatically starts up a HTTP server in a separate thread running httpbin and provides your test with the URL in the fixture.

Jupyter Events enables Jupyter Python Applications (e.g. Jupyter Server, JupyterLab Server, JupyterHub, etc.) to emit events—structured data describing things happening inside the application. Other software (e.g. client applications like JupyterLab) can listen and respond to these events.

text-unidecode is a basic Python port of the Text::Unidecode Perl library. It can create ASCII representations of Unicode data. In general users should prefer the python-unidecode package which offers better memory usage and transliteration quality.

The jupyter_client package contains the reference implementation of the Jupyter protocol. It also provides client and kernel management APIs for working with kernels, and the jupyter kernelspec entrypoint for installing kernelspecs for use with Jupyter frontends.

This is a Python port of markdown-it, and some of its associated plugins. The driving design philosophy of the port has been to change as little of the fundamental code structure (file names, function name, etc) as possible.

This is a Python port of markdown-it, and some of its associated plugins. The driving design philosophy of the port has been to change as little of the fundamental code structure (file names, function name, etc) as possible.

This package aims to produce high-quality genome browser tracks that are highly customizable. Currently, it is possible to plot: bigwig, bed (many options), bedgraph, links (represented as arcs), and Hi-C matrices. pyGenomeTracks can make plots with or without Hi-C data.

BayesicFitting is a package for model fitting and Bayesian evidence calculation, it is a Python version of the the fitter classes in HCSS. HCSS was the all encompassing software system for the operations and analysis of the ESA satelite Herschel.

Sphinx AutoAPI is a Sphinx extension for generating complete API documentation without needing to load, run, or import the project being documented. In contrast to the traditional Sphinx autodoc, which requires manual authoring and uses code imports, AutoAPI finds and generates documentation by parsing source code.

Jupyter-sphinx is a Sphinx extension that executes embedded code in a Jupyter kernel, and embeds outputs of that code in the document. It has support for rich output such as images, LaTeX math and even JavaScript widgets, and supports thebelab for live code execution with minimal effort.

The pytest-mockito plugin provides base Mockito fixtures for Pytest. It covers the main entry points of the Mockito mocking framework and makes it easy to undo any monkey patching.

The fixtures are:

• when

• when2

• expect

• patch

• unstub

• spy2

Beautiful Soup is a Python library designed for rapidly setting up screen-scraping projects. It offers Pythonic idioms for navigating, searching, and modifying a parse tree, providing a toolkit for dissecting a document and extracting what you need. It automatically converts incoming documents to Unicode and outgoing documents to UTF-8.

Beautiful Soup is a Python library designed for rapidly setting up screen-scraping projects. It offers Pythonic idioms for navigating, searching, and modifying a parse tree, providing a toolkit for dissecting a document and extracting what you need. It automatically converts incoming documents to Unicode and outgoing documents to UTF-8.

Prompt-Toolkit is a library for building interactive command line interfaces in Python. It's like GNU Readline but it also features syntax highlighting while typing, out-of-the-box multi-line input editing, advanced code completion, incremental search, support for Chinese double-width characters, mouse support, and auto suggestions.

Beautiful Soup is a Python library designed for rapidly setting up screen-scraping projects. It offers Pythonic idioms for navigating, searching, and modifying a parse tree, providing a toolkit for dissecting a document and extracting what you need. It automatically converts incoming documents to Unicode and outgoing documents to UTF-8.

This app precedes Django's own AppConfig classes that act as "objects [to] store metadata for an application" inside Django's app loading mechanism. In other words, they solve a related but different use case than django-appconf and can't easily be used as a replacement. The similarity in name is purely coincidental.