Everything you need to know about Python 3.13 – JIT and GIL went up the hill
https://drew.silcock.dev/blog/everything-you-need-to-know-about-python-3-13/
https://drew.silcock.dev/blog/everything-you-need-to-know-about-python-3-13/
drew.silcock.dev
Everything you need to know about Python 3.13 – JIT and GIL went up the hill | drew's dev blog
All you need to know about the latest Python release including Global Interpreter Lock and Just-in-Time compilation.
MemoRAG
Empowering RAG with a memory-based data interface for all-purpose applications!
https://github.com/qhjqhj00/MemoRAG
Empowering RAG with a memory-based data interface for all-purpose applications!
https://github.com/qhjqhj00/MemoRAG
GitHub
GitHub - qhjqhj00/MemoRAG: Empowering RAG with a memory-based data interface for all-purpose applications!
Empowering RAG with a memory-based data interface for all-purpose applications! - qhjqhj00/MemoRAG
Multi-dimensional Sparse Arrays in SciPy
The article explores multi-dimensional sparse arrays and their implementation in scientific computing, focusing on their efficiency in handling large datasets with mostly empty or zero-valued elements. It emphasizes the benefits of sparse arrays for memory optimization and computational performance in various data-heavy applications.
https://labs.quansight.org/blog/multi-dimensional-sparse-arrays
The article explores multi-dimensional sparse arrays and their implementation in scientific computing, focusing on their efficiency in handling large datasets with mostly empty or zero-valued elements. It emphasizes the benefits of sparse arrays for memory optimization and computational performance in various data-heavy applications.
https://labs.quansight.org/blog/multi-dimensional-sparse-arrays
labs.quansight.org
Multi-dimensional Sparse Arrays in SciPy
My work focused on extending support for COOrdinate sparse arrays in SciPy to n-dimensions.
How to Design an AWESOME Function Signature in Python
This video demonstrates how to design a great function header in Python, highlighting aspects that are often overlooked but can significantly impact the quality of the code. Important considerations will be discussed to enhance coding practices and improve overall functionality.
https://www.youtube.com/watch?v=WI6CqykFbDc
This video demonstrates how to design a great function header in Python, highlighting aspects that are often overlooked but can significantly impact the quality of the code. Important considerations will be discussed to enhance coding practices and improve overall functionality.
https://www.youtube.com/watch?v=WI6CqykFbDc
YouTube
Things (Almost) No One Thinks About When Designing Functions in Python
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
In this video, I'll show you how to design a great function header in Python. I’ll mention things you probably haven’t considered but that can make or break your code.
🔥 GitHub…
In this video, I'll show you how to design a great function header in Python. I’ll mention things you probably haven’t considered but that can make or break your code.
🔥 GitHub…
weather_landscape
Visualizing Weather Forecasts Through Landscape Imagery.
https://github.com/lds133/weather_landscape
Visualizing Weather Forecasts Through Landscape Imagery.
https://github.com/lds133/weather_landscape
GitHub
GitHub - lds133/weather_landscape: Visualizing Weather Forecasts Through Landscape Imagery
Visualizing Weather Forecasts Through Landscape Imagery - lds133/weather_landscape
unclecode / crawl4ai
🔥🕷️ Crawl4AI: Open-source LLM Friendly Web Crawler & Scrapper
https://github.com/unclecode/crawl4ai
🔥🕷️ Crawl4AI: Open-source LLM Friendly Web Crawler & Scrapper
https://github.com/unclecode/crawl4ai
GitHub
GitHub - unclecode/crawl4ai: 🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://dis…
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN - unclecode/crawl4ai
How to Use FastAPI for Machine Learning
Learn how to use FastAPI for machine learning. Explore the framework's benefits and why it's popular, and understand how to integrate it into your ML workflows.
https://blog.jetbrains.com/pycharm/2024/09/how-to-use-fastapi-for-machine-learning/
Learn how to use FastAPI for machine learning. Explore the framework's benefits and why it's popular, and understand how to integrate it into your ML workflows.
https://blog.jetbrains.com/pycharm/2024/09/how-to-use-fastapi-for-machine-learning/
The JetBrains Blog
How to Use FastAPI for Machine Learning | The PyCharm Blog
Learn how to use FastAPI for machine learning. Explore the framework's benefits and why it's popular, and understand how to integrate it into your ML workflows.
streamable
Stream-like manipulation of Python iterables: fluent, typed, lazy, concurrent.
https://github.com/ebonnal/streamable
Stream-like manipulation of Python iterables: fluent, typed, lazy, concurrent.
https://github.com/ebonnal/streamable
GitHub
GitHub - ebonnal/streamable: Pythonic Stream-like manipulation of iterables
Pythonic Stream-like manipulation of iterables. Contribute to ebonnal/streamable development by creating an account on GitHub.
Httpdbg – A tool to trace the HTTP requests sent by your Python code
https://github.com/cle-b/httpdbg
https://github.com/cle-b/httpdbg
GitHub
GitHub - cle-b/httpdbg: A tool for Python developers to easily debug the HTTP(S) client and server requests in a Python program.
A tool for Python developers to easily debug the HTTP(S) client and server requests in a Python program. - cle-b/httpdbg
Automatic async to sync code conversion
The article describes how Psycopg 3 implemented an automatic conversion system to generate synchronous Python code from asynchronous code, reducing code duplication and maintenance efforts. The process involves using Abstract Syntax Trees (AST) to transform async code into equivalent sync code, with custom transformations and helper functions to handle complex cases.
https://www.psycopg.org/articles/2024/09/23/async-to-sync/
The article describes how Psycopg 3 implemented an automatic conversion system to generate synchronous Python code from asynchronous code, reducing code duplication and maintenance efforts. The process involves using Abstract Syntax Trees (AST) to transform async code into equivalent sync code, with custom transformations and helper functions to handle complex cases.
https://www.psycopg.org/articles/2024/09/23/async-to-sync/
www.psycopg.org
Automatic async to sync code conversion — Psycopg
Python adapter for PostgreSQL
Python Tutorial: Build a Course Platform with Django, HTMX, TailwindCSS and Cloudinary
Learn how to build a Course Platform from scratch. Host video-based courses, manage thumbnails, restrict access to confirmed emails only, optimize thumbnails, customize the Django admin and much more.
https://www.youtube.com/watch?v=I_IchaIdmnA
Learn how to build a Course Platform from scratch. Host video-based courses, manage thumbnails, restrict access to confirmed emails only, optimize thumbnails, customize the Django admin and much more.
https://www.youtube.com/watch?v=I_IchaIdmnA
YouTube
Python Tutorial: Build a Course Platform with Django, HTMX, TailwindCSS and Cloudinary.
🚀 Sign up for Cloudinary for free right now: https://cld.media/cfe 🚀
Learn how to build a Course Platform from scratch. Host video-based courses, manage thumbnails, restrict access to confirmed emails only, optimize thumbnails, customize the Django admin…
Learn how to build a Course Platform from scratch. Host video-based courses, manage thumbnails, restrict access to confirmed emails only, optimize thumbnails, customize the Django admin…
When should you upgrade to Python 3.13?
Python 3.13 will be out October 1, 2024—but should you switch to it immediately?
And if ...
https://pythonspeed.com/articles/upgrade-python-3.13/
Python 3.13 will be out October 1, 2024—but should you switch to it immediately?
And if ...
https://pythonspeed.com/articles/upgrade-python-3.13/
Python⇒Speed
When should you upgrade to Python 3.13?
Python 3.13 is out—when should you switch to using it?
open-notebooklm
Convert any PDF into a podcast episode!
https://github.com/gabrielchua/open-notebooklm
Convert any PDF into a podcast episode!
https://github.com/gabrielchua/open-notebooklm
GitHub
GitHub - gabrielchua/open-notebooklm: Convert any PDF into a podcast episode!
Convert any PDF into a podcast episode! Contribute to gabrielchua/open-notebooklm development by creating an account on GitHub.
Langfun
Langfun, powered by PyGlove, makes working with language models (LM) more intuitive by treating language as functions. Using Object-Oriented Prompting, it enables users to prompt LLMs with objects and types, enhancing control and simplifying agent development.
https://github.com/google/langfun
Langfun, powered by PyGlove, makes working with language models (LM) more intuitive by treating language as functions. Using Object-Oriented Prompting, it enables users to prompt LLMs with objects and types, enhancing control and simplifying agent development.
https://github.com/google/langfun
GitHub
GitHub - google/langfun: OO for LLMs
OO for LLMs. Contribute to google/langfun development by creating an account on GitHub.
Numpy QuadDType: Quadruple Precision for Everyone
Introducing the new data-type for Numpy providing cross-platform support of quadruple precision.
https://labs.quansight.org/blog/numpy-quaddtype-blog
Introducing the new data-type for Numpy providing cross-platform support of quadruple precision.
https://labs.quansight.org/blog/numpy-quaddtype-blog
labs.quansight.org
Numpy QuadDType: Quadruple Precision for Everyone
Introducing the new data-type for Numpy providing cross-platform support of quadruple precision.
AlphaChip
An open-source framework for generating chip floorplans with distributed deep reinforcement learning.
https://github.com/google-research/circuit_training
An open-source framework for generating chip floorplans with distributed deep reinforcement learning.
https://github.com/google-research/circuit_training
GitHub
GitHub - google-research/circuit_training
Contribute to google-research/circuit_training development by creating an account on GitHub.