The casa-formats-io package is a small package which implements functionality to read data stored in CASA formats (such as .image datasets). This implementation is independent of and does not use casacore.

Scikit-Optimize, or skopt, is a simple and efficient library to minimize (very) expensive and noisy black-box functions. It implements several methods for sequential model-based optimization. skopt aims to be accessible and easy to use in many contexts.

This ModernGL utility library simplifies window creation and resource loading. You can create a window for ModernGL using pyglet, pygame, PySide2, GLFW, SDL2, PyQt5 or tkinter. Events are unified into a single event system. Resource loading includes loading of 2D textures/texture arrays, shaders and objects/scenes.

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 package provides metadata objects which can be used to represent common constraints such as upper and lower bounds on scalar values and collection sizes, a Predicate marker for runtime checks, and descriptions of how we intend these metadata to be interpreted. In some cases, we also note alternative representations which do not require this package.

This simple Django utility allows you to utilize the 12factor inspired DATABASE_URL environment variable to configure your Django application.

The dj_database_url.config method returns a Django database connection dictionary, populated with all the data specified in your URL. There is also a conn_max_age argument to easily enable Django’s connection pool.

SocksiPy - A Python SOCKS client module. It provides a socket-like interface that supports connections to any TCP service through the use of a SOCKS4, SOCKS5 or HTTP proxy. The original version was developed by Dan Haim, this is a branch created by Mario Vilas to address some open issues, as the original project seems to have been abandoned circa 2007.

Pytest-examples provides functionality for testing Python code examples in docstrings and markdown files, with its main features being:

• lint code examples using ruff and black

• run code examples

• run code examples and check print statements are inlined correctly in the code

• It can also update code examples in place to format them and insert or update print statements

Xarray (formerly xray) makes working with labelled multi-dimensional arrays simple, efficient, and fun!

Xarray introduces labels in the form of dimensions, coordinates and attributes on top of raw NumPy-like arrays, which allows for a more intuitive, more concise, and less error-prone developer experience. The package includes a large and growing library of domain-agnostic functions for advanced analytics and visualization with these data structures.

This package provides a Python library for building and analyzing recommender systems that deal with explicit rating data. It was designed with the following purposes in mind:

• Provide tools to handle downloaded or user-provided datasets.

• Provide ready-to-use prediction algorithms and similarity measures.

• Provide a base for creating custom algorithms.

• Provide tools to evaluate, analyse and compare algorithm performance.

• Provide documentation with precise details regarding library algorithms.

This package provides wrappers for the commands of Python 3.x such that they can also be invoked under their usual names---e.g., python instead of python3 or pip instead of pip3.

To function properly, this package should not be installed together with the python package: this package uses the python package as a propagated input, so installing this package already makes both the versioned and the unversioned commands available.

JAX is Autograd and XLA, brought together for high-performance numerical computing, including large-scale machine learning research. With its updated version of Autograd, JAX can automatically differentiate native Python and NumPy functions. It can differentiate through loops, branches, recursion, and closures, and it can take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation) via grad as well as forward-mode differentiation, and the two can be composed arbitrarily to any order.

This package can be used for different things:

1. golden master/approval/snapshot testing. The idea is that you have a function with a currently unknown result and you want to write a tests, which ensures that the result does not change during refactoring.

2. Compare things which are complex like lists with lot of numbers or complex data structures.

3. Things which might change during the development like error messages.

inline-snapshot automates the process of recording, storing and updating the value you want to compare with. The value is converted with repr() and stored in the source file as argument of the snapshot() function.

Psycopg is a PostgreSQL database adapter for the Python programming language. Its main features are the complete implementation of the Python DB API 2.0 specification and the thread safety (several threads can share the same connection). It was designed for heavily multi-threaded applications that create and destroy lots of cursors and make a large number of concurrent INSERTs or UPDATEs.

Psycopg 2 is mostly implemented in C as a libpq wrapper, resulting in being both efficient and secure. It features client-side and server-side cursors, asynchronous communication and notifications, COPY TO/COPY FROM support. Many Python types are supported out-of-the-box and adapted to matching PostgreSQL data types; adaptation can be extended and customized thanks to a flexible objects adaptation system.

Psycopg 2 is both Unicode and Python 3 friendly.

HTTPX is a fully featured HTTP client for Python 3, which provides sync and async APIs, and support for both HTTP/1.1 and HTTP/2.

HTTPX builds on the well-established usability of requests, and gives you:

• A broadly requests-compatible API.

• Standard synchronous interface, but with async support if you need it.

• HTTP/1.1 and HTTP/2 support.

• Ability to make requests directly to WSGI applications or ASGI applications.

• Strict timeouts everywhere.

• Fully type annotated.

• 99% test coverage.

Plus all the standard features of requests:

• International Domains and URLs

• Keep-Alive & Connection Pooling

• Sessions with Cookie Persistence

• Browser-style SSL Verification

• Basic/Digest Authentication

• Elegant Key/Value Cookies

• Automatic Decompression

• Automatic Content Decoding

• Unicode Response Bodies

• Multipart File Uploads

• HTTP(S) Proxy Support

• Connection Timeouts

• Streaming Downloads

• .netrc Support

• Chunked Requests

Zope contenttype.

Zope Deprecation Infrastructure

Typing stubs for simplejson.

Typing stubs for setuptools

Typing stubs for setuptools.

This package provides typing stubs for setuptools.

Simple, easy-to-use throttler for asyncio

Clone non-relocatable virtualenvs without breaking site-packages.

This package provides DataStax Driver for Apache Cassandra.