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Python Weekly

Welcome to issue 636 of Python Weekly. Let's get straight to the links this week.

Articles, Tutorials and Talks

Getting Started With CUDA for Python Programmers

In this tutorial, Jeremy Howard demystifies CUDA programming for NVIDIA GPUs, particularly focusing on its accessibility when combined with PyTorch. The hands-on tutorial, conducted in a Colab notebook, guides viewers through practical examples, starting with simple tasks like converting an RGB image to grayscale, and progressing to more advanced topics like matrix multiplication. The emphasis is on simplifying the CUDA programming process for Python programmers, promoting debugging ease and development efficiency.

Deep Dive Into the Repository Design Pattern in Python

A closer look at the repository design pattern in Python. This is a very useful pattern that allows you to keep your data storage separate from your data operations.

A bird's eye view of Polars
Read how Polars executes your query from planning, optimizing to execution.

Profiling your Numba code
Learn how to use the Profila profiler to find performance bottlenecks in your Numba code.

Ten Python datetime pitfalls, and what libraries are (not) doing about it
The article explores various challenges and inconsistencies in the Python datetime library, as well as how different third-party libraries address these issues.

Exploring the GPT-4 with Vision API using Images and Videos
All you need to know to understand the GPT-4 with Vision API with examples for processing Images and Videos.

Mix Python and Rust for Production CLIs

The video outlines an effective workflow for combining Python and Rust - use PyO3 to call Python from Rust CLIs, leverage Rust's safety and Python's libraries, add testing to validate logic, automate processes, and deliver binaries to users.

Running Open Source LLMs In Python - A Practical Guide
Unleashing AI Power on Your Laptop.

Implement Parsers with Pylasu
In this article, we will learn how to implement parsers in Python using Pylasu and ANTLR.

Build a Django AI colorization app

We'll build a simple Django app that uses AI to color black and white photos. I'll also guide you through the easiest method to use webhooks in Django. Webhooks are a neat way of external functions (e.g., AI functions) sending data to your server.

Patching pydantic settings in pytest
The post discusses a Python tutorial on patching Pydantic settings in Pytest. It covers techniques for modifying Pydantic settings during testing scenarios in a Pytest environment, providing practical insights for effective testing and development workflows.

Interesting Projects, Tools and Libraries

gpt-newspaper
An innovative autonomous agent designed to create personalized newspapers tailored to user preferences. GPT Newspaper revolutionizes the way we consume news by leveraging the power of AI to curate, write, design, and edit content based on individual tastes and interests.

excelCPU
16-bit CPU for Excel, and related files.

FastCRUD
FastCRUD is a Python package for FastAPI, offering robust async CRUD operations and flexible endpoint creation utilities.

EasyGmail
A lightweight, minimalistic, and synchronous Python package for quickly sending emails via Gmail.

StreamRAG
Video Search and Streaming Agent.

fabric
fabric is an open-source framework for augmenting humans using AI.

llm-app-stack
Emerging Architectures for LLM Applications.

Upcoming Events and Webinars

Django London Meetup February 2024
There will be a talk, Battle-Tested Tips for Maximizing Learning from Tech Incidents.

Python Milano Meetup February 2024
There will be following talks

Build a Feature Store with Hamilton
Scaling Machine Learning Training and Inference @Vedrai

PyData Südwest Meetup February 2024
There will be following talks

Transform Your Business: A Roadmap to Being Data-Driven with Data Ops
Data Versioning with LakeFS and LakeFS-Spec
My Data Stays Here! Implementing AI Assistants in a Data-Saving Way

PyData London Meetup February 2024
There will be following talks

Toolbox of a not-so Data Scientist
Boosting Similarity Search With Real-time Stream Processing
Open-Source Science (OSSci)
(Maybe) faster Pandas with CuDF on the GPU (perhaps)

PyData Tel Aviv Meetup February 2024
There will be following talks

Optimizing Ad Conversions with DS
Diversifying the feed with color vector selection
Using LLMs to convert freetext to structure

PyData Amsterdam Meetup February 2024
There will be following talks

What’s for dinner? Building an ML Platform to enhance online-grocery shopping at Picnic
Automated Data Quality at Scale using Cleanlab

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Python Weekly - Python Weekly - Issue 636

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