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PRegEx PRegEx is a Python package that can be used in order to construct Regular Expression patterns in a more human-friendly way. https://github.com/manoss96/pregex

TinyFlux The tiny time series database optimized for your happiness. https://github.com/citrusvanilla/tinyflux

Code From Anywhere: Dev Containers and Github Codespaces Because VS Code can run in the browser, Dev Containers, along with Github Codespaces, also allow you to develop from almost anywhere. They’re great for standardizing development across a team. They can also make working on several repos at once much easier because each repo can have its own specific environment for development. https://earthly.dev/blog/devcontianers/

Logging in Python: A Developer’s Guide In this tutorial, you’ll learn how to set up logging in Python using the built-in logging module. You’ll learn the basics of logging, logging variable values and exceptions, configuring custom loggers and formatters, and more. https://blog.sentry.io/2022/07/19/logging-in-python-a-developers-guide/

Stop using “pip freeze” for your Python projects Photo by Dev Benjamin on UnsplashA discussion into why pip freeze is not as cool when it comes to ... https://towardsdatascience.com/stop-using-pip-freeze-for-your-python-projects-9c37181730f9

Using GPT-3 to explain how code works One of my favourite uses for the GPT-3 AI language model is generating explanations of how code works. It’s shockingly effective at this: its training set clearly include a vast amount of source code. https://simonwillison.net/2022/Jul/9/gpt-3-explain-code/

karpathy / minGPT A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training https://github.com/karpathy/minGPT

Introduction to Natural Language Processing (NLP) Table of Contents Introduction to Natural Language Processing (NLP) ... https://pyimagesearch.com/2022/06/27/introduction-to-natural-language-processing-nlp/

grafana / oncall Developer-friendly incident response with brilliant Slack integration https://github.com/grafana/oncall

Evaluating Mechanical Keyboard Delivery Estimates with Python Web Scraping Evaluating the accuracy of Novelkeys.com's delivery estimates using beautifulsoup and matplotlib. https://wcedmisten.fyi/post/analyzing-keycap-estimates/

How To Use Docker To Make Local Development A Breeze Docker is a very powerful tool for developing applications that run in the cloud. If you want to get the most out of it, you need to make sure that the way you're running your code locally matches as closely as possible with how it runs in the cloud. This video shows you how to do this, using a simple API server in Python as an example. https://www.youtube.com/watch?v=zkMRWDQV4Tg

Python With: Using and Writing Context Managers in Python https://codesolid.com/python-with-using-and-writing-context-managers-in-python/

Forms in Django 4.0+ Prior to Django 4.0 forms were rendered by string concatenation. A number of 3rd party packages allowed for forms to be rendered as templates e.g. floppy forms, crispy-forms. Django 4.0 introduced the capability to render forms using the template engine. This allowed the form template to be set per form class or per instance if a template name is provided when calling render(). https://smithdc1.github.io/my-blog/2022/forms/forms.html

5 Reasons Why You Should Use Type Hints In Python Even though you don't see type hints all that often in Python code, and they'll probably never become obligatory, I still think you should use them. Here are 5 reasons why. https://www.youtube.com/watch?v=dgBCEB2jVU0

discoart Create Disco Diffusion artworks in one line. https://github.com/jina-ai/discoart

Betty An automatic differentiation library for generalized meta-learning and multilevel optimization. https://github.com/leopard-ai/betty