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Human-curated Python news, projects, articles & tools. https://pythonhub.dev/
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2 657
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.
https://jstoppa.com/posts/exploring_the_gpt_with_vision_api_image_and_video/post/
2 657
TIL: `yield` inside a `try` followed by `finally` has some interesting behaviour.
https://www.reddit.com/r/Python/comments/1ai5okp/til_yield_inside_a_try_followed_by_finally_has/
2 657
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.
https://www.youtube.com/watch?v=9ymRLDfnDKg
2 657
Running Open Source LLMs In Python - A Practical Guide
Unleashing AI Power on Your Laptop.
https://christophergs.com/blog/running-open-source-llms-in-python
2 657
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.
https://www.youtube.com/watch?v=GBZoWervz3s
2 657
Profiling your Numba code
Learn how to use the Profila profiler to find performance bottlenecks in your Numba code.
https://pythonspeed.com/articles/numba-profiling/
2 657
Python HTTP library 'urllib3' now works in the browser
https://github.com/urllib3/urllib3/releases/tag/2.2.0
2 657
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 em...
https://www.youtube.com/watch?v=nOxKexn3iBo
2 657
Real Case usage of Python Metaclasses
Three examples applying Python Metaclasses
https://dev.to/anbagu/real-case-of-python-metaclass-application-2pj8
2 657
Python packaging must be getting better - a datapoint
I “pip install”ed my app on Windows and everything just worked. Something is going right.
https://lukeplant.me.uk/blog/posts/python-packaging-must-be-getting-better-a-datapoint/
2 657
finagg
A Python package for aggregating historical data from popular and free financial APIs, and for transforming that data into features for AI/ML.
https://github.com/theOGognf/finagg
2 657
SGLang
SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with LLMs faster and more controllable.
https://github.com/sgl-project/sglang
2 657
Method chaining in Pandas
What is method chaining in Pandas? How does it work, and how can you use it?
https://www.youtube.com/watch?v=39MEeDLxGGg
2 657
scrapscript.py
The article introduces a small, pure, functional, content-addressable, network-first programming language designed to create small, shareable programs. It discusses the language's features and its implementation, highlighting its purpose and the collaborative effort behind its development. The article provides insights into the motivation and design principles of Scrapscript, as well as ...
https://bernsteinbear.com/blog/scrapscript/
2 657
wafer
Wafer is a simple but effective web application firewall (WAF) fuzzing tool.
https://github.com/sysdig/wafer
2 657
Performance of Vector Databases
The talk explores the role of vector databases in enhancing AI applications like Retrieval-Augmented Generation (RAG), focusing on high-dimensional embeddings crucial for machine learning. Egor Romanov delves into creating a Postgres provider integrated with pgvector, utilizing a Python performance evaluation framework to simulate similarity search tests and unveil latent performance pot...
https://www.youtube.com/watch?v=-MYYB0QjV6I
