Python Weekly (Issue 633 January 11 2024)

Python Weekly - Issue 633

January 11, 2024

Python Weekly

Welcome to issue 633 of Python Weekly. Let's get straight to the links this week.

Articles, Tutorials and Talks

In late December 2023, CPython core developer Brandt Bucher submitted a little pull-request to the Python 3.13 branch adding a JIT compiler. This change, once accepted would be one of the biggest changes to the CPython Interpreter since the Specializing Adaptive Interpreter added in Python 3.11. In this post, we’re going to have a look at this JIT, what it is, how it works and what the benefits are.

Learn how to build computational and memory intensive functions in Rust and seamlessly integrate them into Python scripts. This video covers creating a shared Python module with Rust using pyo3, compiling the Rust code into a shared object file, importing that file in Python, and calling the high-performance Rust functions from Python.

Learn to secure your Flask applications effectively with our expert hands-on tutorial. Enhance security for your projects in just a few steps!

Something that I’m tinkering with is making a proof assistant in python.

How can you make sure, automatically, that all the links to other internal pages within a site continue to work? In this article, we look at how to use Scrapy, a web scraping tool, and GitHub Actions, a Continuous Integration system, to accomplish this goal.

At Kraken Tech we have a large global development team with over 500 developers, the majority of which work on the same monolithic codebase comprising more than 4 million lines of Python code. We release new code over 100 times a day, running hundreds of thousands of tests in the process. So how can we ensure high coding quality in a distributed team, with such frequent changes? And how can we make it easier for new joiners to slot right in and contribute?

The article discusses the importance of the functools.wraps decorator in Python. It explains how the decorator helps to preserve metadata when wrapping one object over another, particularly when developing Python decorators. The author emphasizes the significance of this decorator due to the potential loss of valuable metadata from the encapsulated object. 

This post explores the concept of SWAR (SIMD Within A Register) and its variant SWAB (SIMD Within A Bigint) in the context of Python. It discusses how SWAB, which maximizes the amount of work done per VM instruction, can be beneficial in Python by reducing interpreter overhead and allowing the CPU to spend the majority of its time in fast native code that implements integer operations

The article discusses the exploration of handwriting recognition in The New York Times Crossword app during the MakerWeek 2023 hackathon. The project involved implementing on-device machine learning for handwriting recognition on both iOS and Android platforms, with the potential for interactive features like "Scribble-to-Erase" detection and in-app self-training mechanisms.

The article reflects on the author's experience with Viberary, a side project aimed at finding books based on a particular vibe. The project was created to explore machine learning side projects and the intersection of search and recommendations, serving as a production-grade complement to the author's recent deep dive into embeddings.

Modal is a great place to deploy Python apps that use AI models and require GPU. Here’s how to use Modal with Django apps.

NumPy 2 is coming, and it’s backwards incompatible. Learn how to keep your code from breaking, and how to upgrade.

Pandas profiling or ydata-profiling as it's now called is a package offered through Python that we'll cover in this article and go over how to use it.

Become a data analyst by following along with this massive course. You will learn the core topics that data analysts need to know. And along the way, you will build plenty of projects to gain hands-on experience.

Interesting Projects, Tools and Libraries

A natural language interface for computers.

The SQL IDE for Your Terminal.

Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Python library for portfolio optimization built on top of scikit-learn.

A Low-cost Open-source Hardware System for Bimanual Teleoperation.

An implementation of Self-Extend, to expand the context window via grouped attention

Building language agents as graphs.

Paper-based Secret Sharing Technique.

Hide any type of files inside a image of your choice.

Upcoming Events and Webinars

There will be following talks

  • Pardon my Python

  • From P to P – The different kind of p2p

  • Python and energetics

There will be following talks

  • Micropython - Python for microcontrollers

  • Time to Ditch requirements.txt and VENV, Start using Poetry now

  • How I made dunderhell: the ugliest python minifier

There will be following talks

  • Different approaches for image captioning, the task of predicting captions for a given visual input

  • LLMs to Business - Scaling LLM applications in business processes. 

There will be following talks

  • OpenAI's Function Calling: What is it and how can we take advantage of it?

  • Building a data science solution for an NGO when you don’t know what infrastructure it will run on: a case study predicting tutor supply and demand mismatch

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