PythonHub
2.43K subscribers
2.35K photos
49.2K links
News & links about Python programming.
https://pythonhub.dev/
Download Telegram
Subscribe to the Weekly Digest to receive an emails with a selection of popular Articles, Projects, and Reddit Discussions.
The digest comes out on Mondays. No spam or advertising.

https://pythonhub.dev/digest/
PythonHub pinned «Subscribe to the Weekly Digest to receive an emails with a selection of popular Articles, Projects, and Reddit Discussions. The digest comes out on Mondays. No spam or advertising. https://pythonhub.dev/digest/»
Python Flask has no remaining open issues or pull requests

https://twitter.com/davidism/status/1542956488355762176
Procedural music composition with Python

An exploration on composing a musical ensemble using arvo and music21 with minimalistic procedural composition techniques.

https://deepnote.com/@essia/Procedural-music-composition-with-arvo-9b35ebd7-63e0-47bc-a3d5-c503954a083d
Multiprocessing in Python: The Complete Guide

This guide provides a detailed and comprehensive guide to multiprocessing in Python, including how processes work, how to use processes in multiprocessor programming, concurrency primitives used with processes, common questions, and best practices.

https://superfastpython.com/multiprocessing-in-python/
PyTorch 1.12

This release is composed of over 3124 commits, 433 contributors. Along with 1.12, we are releasing beta versions of AWS S3 Integration, PyTorch Vision Models on Channels Last on CPU, Empowering PyTorch on Intel® Xeon® Scalable processors with Bfloat16 and FSDP API.

https://pytorch.org/blog/pytorch-1.12-released/
Python for Data Analysis, 3rd Edition – The Open Access Version Online

https://wesmckinney.com/book/
Custom JSON encoder and decoder

This article explains how to extend the JSON format by using a custom encoder and a custom decoder to turn arbitrary Python objects into JSON and back.

https://mathspp.com/blog/custom-json-encoder-and-decoder
Faster Django Queries With Materialized Views

Materialized views can be very useful for creating reports that will be used repeatedly. They cut down on query times because the query has already been made, and the view has been written to the disk. In this video, Nafiul Islam demonstrates how to create materialized views, explains the benefits of using them, and shows how to integrate them into Django ORM.

https://www.youtube.com/watch?v=qcTGppyu1nw