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Python Weekly

Welcome to issue 639 of Python Weekly. Let's get straight to the links this week.

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Articles, Tutorials and Talks

Let's build the GPT Tokenizer

The Tokenizer, essential for Large Language Models (LLMs), translates between strings and tokens, operating as a distinct stage with separate training sets and algorithms. This lecture builds the GPT series Tokenizer from scratch, uncovering peculiar behaviors in LLMs linked to tokenization. We explore these issues, attributing them to tokenization, and consider the ideal scenario of eliminating this stage altogether."

5 Tips to Safely Use Credentials in Your Python Project

Learn 5 simple tips to help keep your Python credentials safe and fix problems quickly if they occur.

Building an LLM from scratch
Learn how to build a modern language model with all the bells and whistles completely from scratch: from vanilla Python to functional coding assistant

Tracing System Calls in Python
The article discusses the author's development of a tool added to Cirron that enables the tracing of system calls made by Python code. It provides an example of tracing the "print" function and explains the tool's implementation using the strace tool for effective analysis. The article also outlines the initial intention to use the ptrace syscall for implementation and the subsequent utilization of the strace tool for handling complexity.

Using IPython Jupyter Magic Commands to Improve the Notebook Experience
A post on creating a custom IPython Jupyter Magic command.

The simplest way to add a Django worker (Using AWS Chalice)
The article discusses the utilization of AWS Chalice to incorporate a Django worker, enabling the use of a lambda function as a serverless background worker for any application. This approach allows the lambda function to run in the background without blocking the main thread of the app, and it can call an endpoint on the Django app when completed, offering the advantage of using any Python library in the lambda function without requiring lambda layers or other AWS-specific configurations.

How to dockerize a Django, Preact, and PostgreSQL Application
Dockerizing your Django application can be intimidating, but the rewards outweigh the risks. In this guide, Charlie Macnamara walks you through the setup process so you can get the most out of your applications.

Algorithmic Art with Python

In this talk we’re going to start from nothing and build out our own tools for making art in Python, no AI needed! We’ll show how Python’s expressiveness allows us to describe graphics elegantly and use that to make some unique art programmatically.

Deploy a Serverless FastAPI App with Neon Postgres and AWS App Runner at any scale
Create a serverless API using FastAPI, deployed on AWS App Runner and powered by Neon Postgres.

Interesting Projects, Tools and Libraries

uv
An extremely fast Python package installer and resolver, written in Rust. Here is a post that goes in to details of uv.

OS-Copilot
An self-improving embodied conversational agent seamlessly integrated into the operating system to automate our daily tasks.

Owl
A personal wearable AI that runs locally.

Alto
Serverless for data practitioners. The fastest way to run your code in the cloud. Effortlessly run scripts, functions, and Jupyter notebooks in virtual machines.

magika
Detect file content types with deep learning.

Streamline-Analyst
An AI agent powered by LLMs that streamlines the entire process of data analysis.

minbpe
Minimal, clean, code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

Hyperdiv
Build reactive web UIs in Python.

UFO
A UI-Focused Agent for Windows OS Interaction.

New Releases

Python 3.13.0 alpha 4

Upcoming Events and Webinars

Oxford Python Meetup February 2024
There will be a talk, Getting Started with PyO3.

PyLadies Amsterdam Meetup February 2024
There will be a workshop, Fine-tuning text-to-image diffusion models for personalization and more.

PyData Toronto Meetup February 2024
There will be following talks

Text Processing on Data for interacting with LLMs
Causal Inference: Creating counterfactuals and their applications in Paid Marketing

PyData Lisbon Meetup February 2024
There will be following talks

Mastering Python Projects with Poetry
LLMs in Production aka LLMOps

PyData Prague Meetup February 2024
There will be following talks

Unlocking Efficiency - The Power of Vectorization
Jupyter(Hub/Lab) - Journey from On-prem to AWS

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Python Weekly - Python Weekly - Issue 639

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