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Python Weekly

Welcome to issue 674 of Python Weekly. Let's get straight to the links this week.

Articles, Tutorials and Talks

Be Careful With Removing Code Duplication

This video refactors some tricky, hard-to-detect code duplication, provides an example of when it’s best to leave duplicated code as is, and shares a few tips on how to avoid duplication altogether.

Investigation of a Workbench UI Latency Issue
Netflix engineers investigated a JupyterLab UI latency issue in their Workbench product, tracing it to an unexpected interaction between a resource usage extension and memory allocation. The root cause was identified as the extension's performance degrading linearly with increased virtual memory usage, despite available physical memory.

From Python to CPU instructions: Part 1
In the first part of a two-part series, we’ll compare the same program written in C and Python to reveal what Python hides from us.

Part 2 - In the second part, we’ll dive into how the C program translates into CPU instructions, exploring what the computer does with our human-readable code.

Embeddings are underrated
The article provides an introduction to embeddings in machine learning, explaining their role in converting data (like text) into numerical representations that capture semantic meaning. It covers various types of embeddings and techniques, showing how they improve tasks such as search and recommendation systems.

You Should Probably Pay Attention to Tokenizers
This article emphasizes the importance of understanding tokenizers in AI applications, particularly for Retrieval-augmented generation (RAG) systems. The author demonstrates how different tokenizers handle various types of text input, including emojis and misspelled words, and explains how tokenization affects embedding quality and overall performance in natural language processing tasks.

Zero Downtime Django Deployments with Multistep Database Changes
Preventing downtime during deployments is crucial for maintaining service availability and ensuring a positive user experience. Blue-green deployments have emerged as a popular strategy to achieve this goal. However, they introduce challenges, especially when dealing with database changes. This article delves into what blue-green deployments are, why database changes can be tricky in this context, and how to navigate common change scenarios effectively in Django.

PyBay 2024 Videos

The talks from PyBay 2024 are now available online.

Adding keyboard shortcuts to the Python REPL
The article discusses how to enhance the Python REPL (Read-Eval-Print Loop) by adding custom keyboard shortcuts to improve efficiency and user experience. It provides step-by-step instructions for implementing these shortcuts, enabling users to navigate and execute commands more effectively.

Interesting Projects, Tools and Libraries

ClickPy
PyPI analytics powered by ClickHouse.

sudoku-in-python-packaging
Solve sudokus not in python, but in python packages.

Mochi 1
The best OSS video generation models.

Moonshine
Fast and accurate automatic speech recognition (ASR) for edge devices.

llm-jq
Write and execute jq programs with the help of LLM.

Wimsey
A fast, lightweight and easy data contract library.

Finstruments
Financial instrument definitions built with Python and Pydantic.

Mininterface
A minimal interface to Python application.

Upcoming Events and Webinars

Michigan Python Meetup November 2024
There will be a talk, Build Multi-Platform Apps with Flet and Python.

PyData London Meetup November 2024
There will be following talks

Valuable lessons learned on Kaggle's ARC AGI (LLM) Challenge
Unlocking Scalability: Building High-Capacity Vector Databases with Open-Source Techniques
Turn YouTube videos & podcasts into readable Markdown with Whisper and LLMs

PyData Stockholm Meetup November 2024
There will be following talks

How do LLMs work? Building intuition on Neural Networks, Transformers, and LLMs
Building RAG for Financial Data: LLM-Powered Hackathon Success in 36 Hours

PyData Prague Meetup November 2024
There will be following talks

Multi-Agent Frameworks: Teaming Up Specialized AI Models to Tackle Complex Tasks
Low-Tech ETL
Peek into Threat Intelligence

PyData Montreal Meetup November 2024
There will be following talks

Python as an orchestrator for a RAG (retrieval-augmented generation) Architecture
Advancing Deep Learning and Vision Efficiency with Mamba, VMamba, and Vim

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