Morphik
Open source multi-modal RAG for building AI apps over private knowledge.
https://github.com/morphik-org/morphik-core
Open source multi-modal RAG for building AI apps over private knowledge.
https://github.com/morphik-org/morphik-core
GitHub
GitHub - morphik-org/morphik-core: Open source multi-modal RAG for building AI apps over private knowledge.
Open source multi-modal RAG for building AI apps over private knowledge. - GitHub - morphik-org/morphik-core: Open source multi-modal RAG for building AI apps over private knowledge.
CPython's optimization for doubly linked lists in deque (amortizes 200% link memory overhead)
https://www.reddit.com/r/Python/comments/1k5nxvt/cpythons_optimization_for_doubly_linked_lists_in/
https://www.reddit.com/r/Python/comments/1k5nxvt/cpythons_optimization_for_doubly_linked_lists_in/
Reddit
From the Python community on Reddit: CPython's optimization for doubly linked lists in deque (amortizes 200% link memory overhead)
Explore this post and more from the Python community
pip 25.1
pip 25.1 introduces support for Dependency Groups (PEP 735), resumable downloads, and an installation progress bar. Dependency resolution has also received a raft of bugfixes and improvements.
https://ichard26.github.io/blog/2025/04/whats-new-in-pip-25.1/
pip 25.1 introduces support for Dependency Groups (PEP 735), resumable downloads, and an installation progress bar. Dependency resolution has also received a raft of bugfixes and improvements.
https://ichard26.github.io/blog/2025/04/whats-new-in-pip-25.1/
Richard Si
What's new in pip 25.1 - Dependency groups!
pip 25.1 introduces support for Dependency Groups (PEP 735), resumable downloads, and an installation progress bar. Dependency resolution has also received a raft of bugfixes and improvements.
Automating code deletion with Gemini (and a little Python)
The author used Gemini 2.0 Flash and Python to automatically remove deprecated docgen features from 235 GN build files in the Pigweed repo. The hybrid approach combined traditional scripting for file filtering with GenAI for intelligent edits, offering a reusable automation template.
https://technicalwriting.dev/ml/gn.html
The author used Gemini 2.0 Flash and Python to automatically remove deprecated docgen features from 235 GN build files in the Pigweed repo. The hybrid approach combined traditional scripting for file filtering with GenAI for intelligent edits, offering a reusable automation template.
https://technicalwriting.dev/ml/gn.html
Paper2Code
Automating Code Generation from Scientific Papers in Machine Learning.
https://github.com/going-doer/Paper2Code
Automating Code Generation from Scientific Papers in Machine Learning.
https://github.com/going-doer/Paper2Code
GitHub
GitHub - going-doer/Paper2Code: Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning - going-doer/Paper2Code
synthetic-data-kit
Tool for generating high quality Synthetic datasets.
https://github.com/meta-llama/synthetic-data-kit
Tool for generating high quality Synthetic datasets.
https://github.com/meta-llama/synthetic-data-kit
GitHub
GitHub - meta-llama/synthetic-data-kit: Tool for generating high quality Synthetic datasets
Tool for generating high quality Synthetic datasets - meta-llama/synthetic-data-kit
Next.js + FastAPI Tutorial: Track Every YouTube Video Event!
This course teaches how to track and store high-frequency YouTube video events using Next.js, FastAPI, and TimescaleDB. It demonstrates a scalable, time-series data pipeline ideal for analyzing user video interactions at massive scale.
https://www.youtube.com/watch?v=7fIvHuqiLws
This course teaches how to track and store high-frequency YouTube video events using Next.js, FastAPI, and TimescaleDB. It demonstrates a scalable, time-series data pipeline ideal for analyzing user video interactions at massive scale.
https://www.youtube.com/watch?v=7fIvHuqiLws
YouTube
Next.js + FastAPI Tutorial: Track Every YouTube Video Event!
Watching videos create a ton of data. Let's track, analyze, and own it.
In this course, we're going to integrate YouTube Video embeds into a Next.js application. Then, we're going to track and monitor every possible event from YouTube videos with FastAPI…
In this course, we're going to integrate YouTube Video embeds into a Next.js application. Then, we're going to track and monitor every possible event from YouTube videos with FastAPI…
Template Strings in Python 3.14: An Unnecessary New Feature?
https://medium.com/techtofreedom/template-strings-in-python-3-14-an-unnecessary-new-feature-aeb28394132d?sk=41a4bc22f7524fd795d10e769204735e
https://medium.com/techtofreedom/template-strings-in-python-3-14-an-unnecessary-new-feature-aeb28394132d?sk=41a4bc22f7524fd795d10e769204735e
Medium
Template Strings in Python 3.14: An Unnecessary New Feature?
An honest review of its usage and potential
ePub-utils: A Python library and CLI tool for inspecting ePub from the terminal
https://github.com/ernestofgonzalez/epub-utils
https://github.com/ernestofgonzalez/epub-utils
GitHub
GitHub - ernestofgonzalez/epub-utils: A Python library and CLI tool for inspecting ePub from the terminal
A Python library and CLI tool for inspecting ePub from the terminal - ernestofgonzalez/epub-utils
College Calculus – Full Course with Python Code
Learn college Calculus from an experienced university mathematics professor. You will also learn how to implement all the Calculus concepts using the Python programming language.
https://www.youtube.com/watch?v=VDFRpjQVaME
Learn college Calculus from an experienced university mathematics professor. You will also learn how to implement all the Calculus concepts using the Python programming language.
https://www.youtube.com/watch?v=VDFRpjQVaME
YouTube
College Calculus – Full Course with Python Code
Learn college Calculus from an experienced university mathematics professor. You will also learn how to implement all the Calculus concepts using the Python programming language.
✏️ Ed Pratowski developed this course for freeCodeCamp.org.
⭐️ Code Links…
✏️ Ed Pratowski developed this course for freeCodeCamp.org.
⭐️ Code Links…
Unitree G1 LiDAR, SLAM, navigation and control. Dev w/ G1 Humanoid P.2
The video details software upgrades to the Unitree G1 humanoid robot, focusing on LiDAR integration for SLAM, navigation, and control. It showcases the robot's ability to map its surroundings and navigate using keyboard controls
https://www.youtube.com/watch?v=sJYlJlIEBpg
The video details software upgrades to the Unitree G1 humanoid robot, focusing on LiDAR integration for SLAM, navigation, and control. It showcases the robot's ability to map its surroundings and navigate using keyboard controls
https://www.youtube.com/watch?v=sJYlJlIEBpg
YouTube
Unitree G1 LiDAR, SLAM, navigation and control. Dev w/ G1 Humanoid P.2
Doing SLAM with the LiDAR, occupancy graph, better navigation, and a bunch of improvements.
Unitree G1 playlist: https://www.youtube.com/playlist?list=PLQVvvaa0QuDdNJ7QbjYeDaQd6g5vfR8km
Neural Networks from Scratch book: https://nnfs.io
Channel membership:…
Unitree G1 playlist: https://www.youtube.com/playlist?list=PLQVvvaa0QuDdNJ7QbjYeDaQd6g5vfR8km
Neural Networks from Scratch book: https://nnfs.io
Channel membership:…
Build your gaming simulation AI agent
The article guides readers on building intelligent gaming simulation agents using LangGraph, emphasizing reasoning, memory, and real-time decision-making. It demonstrates how to create production-ready, human-like NPCs by integrating LLMs, agentic RAG, and LLMOps techniques.
https://decodingml.substack.com/p/build-your-gaming-simulation-ai-agent
The article guides readers on building intelligent gaming simulation agents using LangGraph, emphasizing reasoning, memory, and real-time decision-making. It demonstrates how to create production-ready, human-like NPCs by integrating LLMs, agentic RAG, and LLMOps techniques.
https://decodingml.substack.com/p/build-your-gaming-simulation-ai-agent
Substack
Build your gaming simulation AI agent
Human-like NPCs that reason & use tools