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Python Weekly

Welcome to issue 676 of Python Weekly. Let's get straight to the links this week.

Articles, Tutorials and Talks

Python dependency management is a dumpster fire
This article is all about fire safety techniques and tools. It's about how you should think about dependency management, which tools you should consider for different scenarios, and what trade offs you'll have to make. Finally, it exposes the complexity and lingering problems in the ecosystem.

NanoDjango - single-file Django apps | uv integration

NanoDjango is a cool package that lets you build small scripts using all the power of Django, and also supports django-ninja for APIs. We'll dive into NanoDjango in this video, and will use uv and inline script metadata for dependency management.

Everything I've learned so far about running local LLMs
A post about running large language models (LLMs) locally on a computer. It discusses what LLMs are and how to set them up to run on your own machine. The article also covers some of the limitations of LLMs, but highlights their potential for tasks like proofreading and creative writing.

Thoughts on Django’s Core
Django's longevity is attributed to its stable core, time-based releases, and API stability policy. While there's enthusiasm for expanding Django's features, the author argues that the core should remain focused and prioritize stability. Instead, the community should embrace third-party packages as a way to innovate and extend Django's capabilities without compromising its core.

Understanding Multimodal LLMs
An introduction to the main techniques and latest models.

The Polars vs pandas difference nobody is talking about
A closer look at non-elementary group-by aggregations.

The Practical Guide to Scaling Django
Most Django scaling guides focus on theoretical maximums. But real scaling isn’t about handling hypothetical millions of users - it’s about systematically eliminating bottlenecks as you grow. Here’s how to do it right, based on patterns that work in production.

Proposal for a Django project template
The author's take on what could be a project template for Django advanced usage, with modern tooling (for Python and UI dependencies, as well as configuration/environment management), but not too opinionated.

Flash Attention derived and coded from first principles with Triton (Python)

This video provides an in-depth, step-by-step explanation of Flash Attention, covering its derivation, implementation, and underlying concepts. The presenter explains CUDA, Triton, and autograd from scratch, then derives and codes both the forward and backward passes of Flash Attention.

Interesting Projects, Tools and Libraries

chonkie
The no-nonsense RAG chunking library that's lightweight, lightning-fast, and ready to CHONK your texts.

Muon
Muon optimizer for neural networks: >30% extra sample efficiency, <3% wallclock overhead.

Protenix
A trainable PyTorch reproduction of AlphaFold 3.

Cosmos-Tokenizer
A suite of image and video neural tokenizers.

alphafold3
AlphaFold 3 inference pipeline.

TinyTroupe
LLM-powered multiagent persona simulation for imagination enhancement and business insights.

pipe-operator
Elixir's pipe operator in Python.

weft
A vim-like terminal reader to chat with your books.

TransformerEngine
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

BeamerQt
PyQt-based application to create Beamer-LaTeX Presentations.

New Releases

Flask 3.1.0 Released

Upcoming Events and Webinars

PyData Berlin Meetup November 2024
There will be following talks

Running Python data transformations at scale with dbt and Astronomer Cosmos
Anomaly Detection in Track Scenes

Hybrid: PyMunich Meetup November 2024
There will be following talks

Beginner Friendly IoT in Python – Object Oriented design for writing IoT servers
Transforming Jupyter Notebooks into Web Apps: A Python-Powered Approach to Heat Planning

Portland Python User Group November 2024
There will be a talk, HTMX with Python.

PyData Milano Meetup November 2024
There will be following talks

From stringly typed to strongly typed: Insights from re-designing a library
Foundational Models for Time Series Forecasting: Are We There Yet?

PyData Munich Meetup November 2024
There will be following talks

Robust and Efficient Coupling of Perception to Actuation with Metric and Non-Metric Scene Representations
Understanding Context in the Wild - AI Testing Automated Driving Systems
Strategies Towards Reliable Scene Understanding for Autonomous Driving and Beyond
How to Unlock More Value from Self-Driving Datasets

PyDataMCR Meetup November 2024
There will be following talks

Developing High-Resolution Models for Future UK Climate Extremes
From Data Science to Data Engineering

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