PythonHub

Crash course in Web3 Application Development with Python Learn how to send your first transaction on the Ethereum blockchain using Python and the Web3 package https://blog.doppler.com/crash-course-in-web3-application-development-with-python

No-op statements syntactically valid only since Python X.Y https://github.com/jwilk/python-syntax-errors

ActionPoser https://github.com/Arminando/ActionPoser

Convolutional Neural Networks Convolutional Neural Networks can be used to train computers to recognize objects in images. This allows us to recognize objects or people in images or video. It is helps automate the process of finding cancerous tumors. It is also used to implement driverless car technology and more. https://www.youtube.com/watch?v=ad-Qc42Kbx8

MicroPython – Python for Microcontrollers https://micropython.org/

Peeking and backtracking Python generators Python generators are mighty, but they lack a couple of useful features. One of them is peeking at the next item without consuming the generator. Even better, what if we could peek any number of items? Another feature lacking from generators is rewinding/backtracking. We will implement both of those features in a couple of different ways. https://ricardoanderegg.com/posts/peeking-backtracking-python-generator/

Python Asynchronous Programming Fundamentals Python introduced asynchronous programming capabilities in version 3.4 in 2014, with further notable improvements in almost every minor version since. However, to many Python programmers, this area of the language remains esoteric, misunderstood, and underutilized. This article aims to elucidate the fundamental concepts of asynchronous programming as part of the first step towards mastery. https://jwodder.github.io/kbits/posts/pyasync-fundam/

CircuitPython – The easiest way to program microcontrollers https://circuitpython.org?v=2022

CustomTkinter A modern and customizable python UI-library based on Tkinter. https://github.com/TomSchimansky/CustomTkinter

Python 3.11 Performance Benchmarks Are Looking Fantastic https://www.phoronix.com/scan.php?page=article&item=python-311-benchmarks

Debugging Tips And Techniques With this article, we will investigate problem solving techniques for Django apps. The goal is to equip you with tools to fix the real problems that you’ll hit when building your Django site. https://www.mattlayman.com/understand-django/debugging-tips-techniques/

griffe Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API. https://github.com/mkdocstrings/griffe

Stop Messing with Kubernetes Finalizers Here’s why you should never force-delete Kubernetes resources or remove their finalizers. https://martinheinz.dev/blog/74

simple-homepage simple-homepage is a command line utility that helps you create a simple static homepage for your browser https://github.com/fpgmaas/simple-homepage

PyLucid: Lucid Interpreter Written in Python https://github.com/billwadge/pyLucid

A Brief Look at Cpython String In this article, we will take a brief look at how Python strings are implemented, why they consume so much memory and we will examine certain interesting aspects of Python string. https://www.heurekadevs.com/a-brief-look-at-cpython-string

jina-ai / dalle-flow A Human-in-the-Loop workflow for creating HD images from text https://github.com/jina-ai/dalle-flow

An introduction to accessing financial data in EDGAR, using Python https://www.wrighters.io/an-introduction-to-accessing-financial-data-in-edgar-using-python/

stitching A Python package for fast and robust Image Stitching. https://github.com/lukasalexanderweber/stitching

Tutorial on how to set up Celery workers with Flask and Redis Celery worker is a simple, flexible, and reliable distributed system to process vast amounts of messages while providing operations with the tools required to maintain such a system. In this tutorial, we will learn how to implement Celery with Flask and Redis. https://signoz.io/blog/celery-worker/