PyVRP
Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.
https://github.com/PyVRP/PyVRP/
Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.
https://github.com/PyVRP/PyVRP/
GitHub
GitHub - PyVRP/PyVRP: Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.
Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package. - PyVRP/PyVRP
MiroMindAI / MiroFlow
MiroFlow is an agent framework that enables tool-use agent tasks, featuring a reproducible GAIA score of 82.4%.
https://github.com/MiroMindAI/MiroFlow
MiroFlow is an agent framework that enables tool-use agent tasks, featuring a reproducible GAIA score of 82.4%.
https://github.com/MiroMindAI/MiroFlow
GitHub
GitHub - MiroMindAI/MiroFlow: MiroFlow is an agent framework that enables tool-use agent tasks, featuring a reproducible GAIA score…
MiroFlow is an agent framework that enables tool-use agent tasks, featuring a reproducible GAIA score of 82.4%. - MiroMindAI/MiroFlow
MapToPoster
Transform your favorite cities into beautiful, minimalist designs. MapToPoster lets you create and export visually striking map posters with code.
https://github.com/originalankur/maptoposter
Transform your favorite cities into beautiful, minimalist designs. MapToPoster lets you create and export visually striking map posters with code.
https://github.com/originalankur/maptoposter
GitHub
GitHub - originalankur/maptoposter: Transform your favorite cities into beautiful, minimalist designs. MapToPoster lets you create…
Transform your favorite cities into beautiful, minimalist designs. MapToPoster lets you create and export visually striking map posters with code. - originalankur/maptoposter
Rust-powered FM-index for fast substring search
High-performance FM-index powered by Rust, enabling fast substring search and count/locate queries.
https://pypi.org/project/fm-index/
High-performance FM-index powered by Rust, enabling fast substring search and count/locate queries.
https://pypi.org/project/fm-index/
❤2
Oban
A robust job orchestration framework for Python, backed by modern PostgreSQL.
https://github.com/oban-bg/oban-py
A robust job orchestration framework for Python, backed by modern PostgreSQL.
https://github.com/oban-bg/oban-py
GitHub
GitHub - oban-bg/oban-py: 💎🐍 A robust job orchestration framework for Python, backed by modern PostgreSQL
💎🐍 A robust job orchestration framework for Python, backed by modern PostgreSQL - oban-bg/oban-py
How a Single Test Revealed a Bug in Django 6.0
The story of how a failed upgrade attempt by Renovate led to a Django contribution.
https://lincolnloop.com/blog/how-a-single-test-revealed-a-bug-in-django-60/
The story of how a failed upgrade attempt by Renovate led to a Django contribution.
https://lincolnloop.com/blog/how-a-single-test-revealed-a-bug-in-django-60/
Lincoln Loop
How a Single Test Revealed a Bug in Django 6.0 | Lincoln Loop
The story of how a failed upgrade attempt by Renovate led to a Django contribution. One of the client projects …
Can LLMs translate Polars code to SQL?
Th post explores how large language models can translate natural language and Polars DataFrame expressions into equivalent SQL queries, bridging Python-centric data manipulation and SQL for analytics. It demonstrates how combining Polars’ in-memory performance with LLMs can help users leverage familiar SQL patterns without writing raw SQL themselves.
https://labs.quansight.org/blog/llm_polars_to_sql
Th post explores how large language models can translate natural language and Polars DataFrame expressions into equivalent SQL queries, bridging Python-centric data manipulation and SQL for analytics. It demonstrates how combining Polars’ in-memory performance with LLMs can help users leverage familiar SQL patterns without writing raw SQL themselves.
https://labs.quansight.org/blog/llm_polars_to_sql
Paper2Any
Turn paper/text/topic into editable research figures, technical route diagrams, and presentation slides.
https://github.com/OpenDCAI/Paper2Any
Turn paper/text/topic into editable research figures, technical route diagrams, and presentation slides.
https://github.com/OpenDCAI/Paper2Any
GitHub
GitHub - OpenDCAI/Paper2Any: Turn paper/text/topic into editable research figures, technical route diagrams, and presentation slides.
Turn paper/text/topic into editable research figures, technical route diagrams, and presentation slides. - OpenDCAI/Paper2Any
Opticol
Optimized collections (opticol) for Python. This package provides memory-efficient, slot-based implementations of Python's standard collection types.
https://github.com/lessico/opticol/
Optimized collections (opticol) for Python. This package provides memory-efficient, slot-based implementations of Python's standard collection types.
https://github.com/lessico/opticol/
GitHub
GitHub - lessico/opticol: Memory optimized python collections
Memory optimized python collections. Contribute to lessico/opticol development by creating an account on GitHub.
Skill_Seekers
Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection.
https://github.com/yusufkaraaslan/Skill_Seekers
Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection.
https://github.com/yusufkaraaslan/Skill_Seekers
GitHub
GitHub - yusufkaraaslan/Skill_Seekers: Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with…
Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection - yusufkaraaslan/Skill_Seekers
Learn NumPy in 40 Minutes
The video introduces the core concepts of NumPy and shows how its array operations form the foundation of numerical computing in Python. It emphasizes why NumPy is a must-learn tool for data science, AI, machine learning, and scientific workflows.
https://www.youtube.com/watch?v=zI5ducyfyNc
The video introduces the core concepts of NumPy and shows how its array operations form the foundation of numerical computing in Python. It emphasizes why NumPy is a must-learn tool for data science, AI, machine learning, and scientific workflows.
https://www.youtube.com/watch?v=zI5ducyfyNc
YouTube
Learn NumPy in 40 Minutes - Python NumPy Tutorial
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In this video, you'll learn how to use the NumPy library in Python. If you're interested at all in data science, AI, machine learning…
In this video, you'll learn how to use the NumPy library in Python. If you're interested at all in data science, AI, machine learning…
Violit
Violit is a next-generation Python web framework that perfectly solves Streamlit's critical Full Script Rerun issue with O(1) State Architecture.
https://github.com/violit-dev/violit
Violit is a next-generation Python web framework that perfectly solves Streamlit's critical Full Script Rerun issue with O(1) State Architecture.
https://github.com/violit-dev/violit
GitHub
GitHub - violit-dev/violit: The High-Performance Python Web Framework. The simplicity of Streamlit, minus the reruns
The High-Performance Python Web Framework. The simplicity of Streamlit, minus the reruns - violit-dev/violit
django-polymorphic - Polymorphic models in Django
The video explains Django model inheritance and polymorphic models, showing how django-polymorphic returns the correct subclass types when querying a base model through the ORM. It also covers Django Admin support and integrations with other Django ecosystem packages to make polymorphic models easier to manage.
https://www.youtube.com/watch?v=d8MC2FQ_nqU
The video explains Django model inheritance and polymorphic models, showing how django-polymorphic returns the correct subclass types when querying a base model through the ORM. It also covers Django Admin support and integrations with other Django ecosystem packages to make polymorphic models easier to manage.
https://www.youtube.com/watch?v=d8MC2FQ_nqU
YouTube
django-polymorphic - Polymorphic models in Django
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Tracking 13,000 satellites in under 3 seconds from Python
https://www.reddit.com/r/Python/comments/1qif5o1/tracking_13000_satellites_in_under_3_seconds_from/
https://www.reddit.com/r/Python/comments/1qif5o1/tracking_13000_satellites_in_under_3_seconds_from/
Reddit
From the Python community on Reddit: Tracking 13,000 satellites in under 3 seconds from Python
Explore this post and more from the Python community
7 Things You Didn’t Know Dataclasses Could Do
The video walks through seven lesser-known features of Python’s dataclasses that make code safer, clearer, and easier to maintain, beyond basic use. Each tip shows how dataclasses can reduce boilerplate and improve common patterns in everyday Python code.
https://www.youtube.com/watch?v=YTsJQ4ixq88
The video walks through seven lesser-known features of Python’s dataclasses that make code safer, clearer, and easier to maintain, beyond basic use. Each tip shows how dataclasses can reduce boilerplate and improve common patterns in everyday Python code.
https://www.youtube.com/watch?v=YTsJQ4ixq88
YouTube
7 Things You Didn’t Know Dataclasses Could Do
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
Dataclasses are often treated as nothing more than a shortcut for generating init methods, but there’s a lot more going on under the surface. In this video, I walk through…
Dataclasses are often treated as nothing more than a shortcut for generating init methods, but there’s a lot more going on under the surface. In this video, I walk through…
Asyncio Finally Got Peewee
Charles Leifer introduces an asyncio compatibility layer for the Peewee ORM that uses greenlet to bridge synchronous database logic with asynchronous event loops without requiring a full codebase rewrite. This implementation allows developers to run standard Peewee queries and transactions within async contexts by using a task-local state management system and specific execution helpers ...
https://charlesleifer.com/blog/asyncio-finally-got-peewee/
Charles Leifer introduces an asyncio compatibility layer for the Peewee ORM that uses greenlet to bridge synchronous database logic with asynchronous event loops without requiring a full codebase rewrite. This implementation allows developers to run standard Peewee queries and transactions within async contexts by using a task-local state management system and specific execution helpers ...
https://charlesleifer.com/blog/asyncio-finally-got-peewee/
ruvnet / wifi-densepose
Production-ready implementation of InvisPose - a revolutionary WiFi-based dense human pose estimation system that enables real-time full-body tracking through walls using commodity mesh routers
https://github.com/ruvnet/wifi-densepose
Production-ready implementation of InvisPose - a revolutionary WiFi-based dense human pose estimation system that enables real-time full-body tracking through walls using commodity mesh routers
https://github.com/ruvnet/wifi-densepose
GitHub
GitHub - ruvnet/wifi-densepose: Production-ready implementation of InvisPose - a revolutionary WiFi-based dense human pose estimation…
Production-ready implementation of InvisPose - a revolutionary WiFi-based dense human pose estimation system that enables real-time full-body tracking through walls using commodity mesh routers - ...
webctl
Browser automation for AI agents and humans, built on the command line.
https://github.com/cosinusalpha/webctl
Browser automation for AI agents and humans, built on the command line.
https://github.com/cosinusalpha/webctl
GitHub
GitHub - cosinusalpha/webctl: Browser automation via CLI — for humans and agents
Browser automation via CLI — for humans and agents - cosinusalpha/webctl