PythonHub

Summary of Major Changes Between Python Versions This post is designed to be a quick reference for the major changes introduced with each new version of Python. This can help with taking advantages of using new features as you upgrade your code base, or ensuring that you have the correct guards for compatibility with older versions. https://www.nicholashairs.com/posts/major-changes-between-python-versions/

Visualizing Neural Network Internals Visualizing some of the internals of a neural network during training and inference. https://www.youtube.com/watch?v=ChfEO8l-fas

Handling Tasks in Asyncio Like a Pro https://jacobpadilla.com/articles/handling-asyncio-tasks

Lag-Llama Towards Foundation Models for Probabilistic Time Series Forecasting. https://github.com/time-series-foundation-models/lag-llama

The Many Ways to Deploy a Model There are many ways to deploy models and perform inference. Here, we share our decision rubric for model deployments using LLM inference as an example. https://outerbounds.com/blog/the-many-ways-to-deploy-a-model

HypoFuzz Open source smart fuzzing for Python's best testing workflow. https://github.com/Zac-HD/hypofuzz

Why AI has a Python Problem Artificial Intelligence (AI) has propelled Python to unprecedented popularity, making it the go-to language for developers and researchers worldwide. Yet, beneath the surface, a significant challenge looms. Let's get into the specific difficulties Python poses for AI's evolution, backed by real-world examples and technical insights. https://www.youtube.com/watch?v=cGgTvMmtzNU

Toolong A terminal application to view, tail, merge, and search log files (plus JSONL). https://github.com/textualize/toolong

Counting CPU Instructions in Python Did you know it takes about 17,000 CPU instructions to print("Hello") in Python? And that it takes ~2 billion of them to import seaborn? https://blog.mattstuchlik.com/2024/02/08/counting-cpu-instructions-in-python.html

TriOTP The OTP framework for Python Trio. https://github.com/linkdd/triotp

modguard A Python tool to enforce a modular, decoupled package architecture. https://github.com/Never-Over/modguard

Ask HN: Which Python type checker should I use? https://news.ycombinator.com/item?id=39416443

Think Python, 3rd Edition https://allendowney.github.io/ThinkPython/

Why use Pycharm Pro in 2024? https://www.reddit.com/r/Python/comments/1aqr39j/why_use_pycharm_pro_in_2024/

ml-mgie Apple's new open-source AI model that can edit images based on natural language instructions. https://github.com/apple/ml-mgie

How to avoid a count query in Django if you can https://www.peterbe.com/plog/how-to-avoid-a-count-query-in-django-if-you-can

Meta loves Python Meta engineers discuss their contributions to Python 3.12, including new features such as custom JIT hooks, Immortal Objects, type system improvements, and faster comprehensions, highlighting their collaboration with the Python community and the company's support for open source https://engineering.fb.com/2024/02/12/developer-tools/meta-loves-python/

Adopt-ruff: find uncobfigured rules easily Adopt ruff faster into your existing repo: find the easiest rules to start with https://github.com/ScDor/adopt-ruff

Engineering Practices for LLM Application Development LLM engineering involves much more than just prompt design or prompt engineering. In this article, we share a set of engineering practices that helped us deliver a prototype LLM application rapidly and reliably in a recent project. We'll share techniques for automated testing and adversarial testing of LLM applications, refactoring, as well as considerations for architecting LLM applicat... https://martinfowler.com/articles/engineering-practices-llm.html

Recording and visualising the 20k system calls it takes to "import seaborn" https://www.reddit.com/r/Python/comments/1asjcnm/recording_and_visualising_the_20k_system_calls_it/