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
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
GitHub
GitHub - sgl-project/sglang: SGLang is a fast serving framework for large language models and vision language models.
SGLang is a fast serving framework for large language models and vision language models. - sgl-project/sglang
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
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
GitHub
GitHub - theOGognf/finagg: A Python package for aggregating and normalizing historical data from popular and free financial APIs.
A Python package for aggregating and normalizing historical data from popular and free financial APIs. - theOGognf/finagg
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/
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/
Luke Plant's home page
Python packaging must be getting better - a datapoint
I “pip install”ed my app on Windows and everything just worked. Something is going right.
Real Case usage of Python Metaclasses
Three examples applying Python Metaclasses
https://dev.to/anbagu/real-case-of-python-metaclass-application-2pj8
Three examples applying Python Metaclasses
https://dev.to/anbagu/real-case-of-python-metaclass-application-2pj8
DEV Community
Real case of Python Metaclass application
Metaclass __prepare__() >>> A tangible example of metaclasses with Python ...
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
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
YouTube
Getting Started With CUDA for Python Programmers
I used to find writing CUDA code rather terrifying. But then I discovered a couple of tricks that actually make it quite accessible. In this video I introduce CUDA in a way that will be accessible to Python folks, & I even show how to do it all for free in…
Python HTTP library 'urllib3' now works in the browser
https://github.com/urllib3/urllib3/releases/tag/2.2.0
https://github.com/urllib3/urllib3/releases/tag/2.2.0
GitHub
Release 2.2.0 · urllib3/urllib3
🖥️ urllib3 now works in the browser
🎉 This release adds experimental support for using urllib3 in the browser with Pyodide! 🎉
Thanks to Joe Marshall (@joemarshall) for contributing this feature. Th...
🎉 This release adds experimental support for using urllib3 in the browser with Pyodide! 🎉
Thanks to Joe Marshall (@joemarshall) for contributing this feature. Th...
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/
Learn how to use the Profila profiler to find performance bottlenecks in your Numba code.
https://pythonspeed.com/articles/numba-profiling/
Python⇒Speed
Profiling your Numba code
Learn how to use the Profila profiler to find performance bottlenecks in your Numba code.
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
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
YouTube
🤝 Mix Python and Rust for Production CLIs
🐍 Import Python functions into Rust CLIs with PyO3
⚙️ Leverage Rust's stability and Python's data science libraries
🧪 Write tests to validate business logic
🚀 Automate testing and delivery for production use
📦 Deliver binary artifacts to end users
The video…
⚙️ Leverage Rust's stability and Python's data science libraries
🧪 Write tests to validate business logic
🚀 Automate testing and delivery for production use
📦 Deliver binary artifacts to end users
The video…
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
Unleashing AI Power on Your Laptop.
https://christophergs.com/blog/running-open-source-llms-in-python
Christophergs
Running Open Source LLMs In Python - A Practical Guide
Learn how to set up and use open source Large Language Models on your personal laptop in Python using llama.cpp
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
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
YouTube
Deep Dive Into the Repository Design Pattern in Python
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
In this video, I’ll take 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…
In this video, I’ll take 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…
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/
https://www.reddit.com/r/Python/comments/1ai5okp/til_yield_inside_a_try_followed_by_finally_has/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
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/
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/
Juan Stoppa
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
llm-app-stack
Emerging Architectures for LLM Applications.
https://github.com/a16z-infra/llm-app-stack
Emerging Architectures for LLM Applications.
https://github.com/a16z-infra/llm-app-stack
GitHub
GitHub - a16z-infra/llm-app-stack
Contribute to a16z-infra/llm-app-stack development by creating an account on GitHub.
A bird's eye view of Polars
Read how Polars executes your query from planning, optimizing to execution.
https://pola.rs/posts/polars_birds_eye_view
Read how Polars executes your query from planning, optimizing to execution.
https://pola.rs/posts/polars_birds_eye_view
pola.rs
A bird's eye view of Polars
DataFrames for the new era
MarkFzp / act-plus-plus
Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
https://github.com/MarkFzp/act-plus-plus
Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
https://github.com/MarkFzp/act-plus-plus
GitHub
GitHub - MarkFzp/act-plus-plus: Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN - MarkFzp/act-plus-plus