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News & links about Python programming. https://pythonhub.dev/

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Running Python Parallel Applications with Sub Interpreters Python 3.12 introduced a new API for “sub interpreters”, which are a different parallel execution model for Python that provide a nice compromise between the true parallelism of multiprocessing, but with a much faster startup time. This post will explain what a sub interpreter is, why it’s important for parallel code execution in Python and how it compares with other approaches. https://tonybaloney.github.io/posts/sub-interpreter-web-workers.html

autometrics-py Easily add metrics to your code that actually help you spot and debug issues in production. Built on Prometheus and OpenTelemetry. https://github.com/autometrics-dev/autometrics-py

Breezy A Distributed Version Control System with a Friendly UI. https://github.com/breezy-team/breezy

rags Build ChatGPT over your data, all with natural language. https://github.com/run-llama/rags

Show HN: Python-Type-Challenges, master Python typing with online exercises https://python-type-challenges.zeabur.app/

Skyfield: Elegant Astronomy for Python https://rhodesmill.org/skyfield/

Building a Bootstrap styled form in vanilla Django In this post, David Smith explores creating a Bootstrap-styled form in vanilla Django without relying on third-party packages. He discusses customizing form widgets, adding CSS classes, and creating a custom field template. https://smithdc.uk/blog/2023/bootstrap_form_in_vanilla_django

Subtitle Open-source subtitle generation for seamless content translation. https://github.com/innovatorved/subtitle

ProAgent From Robotic Process Automation to Agentic Process Automation. https://github.com/OpenBMB/ProAgent

langchain-ai / langchain ⚡ Building applications with LLMs through composability ⚡ https://github.com/langchain-ai/langchain

Intro to Large Language Models Andrej Karpathy's talk on introduction to Large Language Models covering the core technical component behind systems like ChatGPT, Claude, and Bard. What they are, where they are headed, comparisons and analogies to present-day operating systems, and some of the security-related challenges of this new computing paradigm. https://www.youtube.com/watch?v=zjkBMFhNj_g

Spinning Up in Deep RL An educational resource produced by OpenAI that makes it easier to learn about deep reinforcement learning (deep RL). https://spinningup.openai.com/en/latest/

edarchimbaud / awesome-systematic-trading A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading. https://github.com/edarchimbaud/awesome-systematic-trading

sysaidmin Sysaidmin is a GPT-powered sysadmin for your machine. You can ask it to solve a problem, and it will run commands on your system (with your permission) to debug what's going on. https://github.com/skorokithakis/sysaidmin/

Building a small REPL in Python In a lot of my previous interpreter/compiler projects written in Python I hand-rolled a REPL (read-eval-print-loop). It turns out that Python comes with a bunch of batteries included and this is totally unnecessary—you get a lot of goodies for free. Let’s take a look at how to use them, starting from embedding a normal Python REPL in your project. https://bernsteinbear.com/blog/simple-python-repl/

Robot Dad This is an article about a father who created a chatbot named Robot Dad to answer his son’s questions. The chatbot is able to access and process information from the real world through Google Search. Robot Dad can also be used to translate languages. https://blog.untrod.com/2023/11/robot-dad.html

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