lmms-eval
Accelerating the development of large multimodal models (LMMs) with one-click evaluation module - lmms-eval.
https://github.com/EvolvingLMMs-Lab/lmms-eval
Accelerating the development of large multimodal models (LMMs) with one-click evaluation module - lmms-eval.
https://github.com/EvolvingLMMs-Lab/lmms-eval
GitHub
GitHub - EvolvingLMMs-Lab/lmms-eval: One for All Modalities Evaluation Toolkit - including text, image, video, audio tasks.
One for All Modalities Evaluation Toolkit - including text, image, video, audio tasks. - EvolvingLMMs-Lab/lmms-eval
Should You Replace Every For Loop With Map and Filter?
Think map() and filter() are always better than for loops? Not so fast. This video walks you through four situations where functional code actually makes things worse—and explain why the classic for loop still deserves a place in your toolbox.
https://www.youtube.com/watch?v=ylzo04lU9Xs
Think map() and filter() are always better than for loops? Not so fast. This video walks you through four situations where functional code actually makes things worse—and explain why the classic for loop still deserves a place in your toolbox.
https://www.youtube.com/watch?v=ylzo04lU9Xs
YouTube
Should You Replace Every For Loop With Map and Filter?
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
Think map() and filter() are always better than for loops? Not so fast. In this video, I’ll walk you through four situations where functional code actually makes things worse—and…
Think map() and filter() are always better than for loops? Not so fast. In this video, I’ll walk you through four situations where functional code actually makes things worse—and…
Create a React + Flask Project in 2025
The tutorial provides an updated 2025 workflow for building a combined React and Flask application, detailing how to structure, run, and connect a modern React frontend with a Flask backend using current tools and best practices.
https://blog.miguelgrinberg.com/post/create-a-react-flask-project-in-2025
The tutorial provides an updated 2025 workflow for building a combined React and Flask application, detailing how to structure, run, and connect a modern React frontend with a Flask backend using current tools and best practices.
https://blog.miguelgrinberg.com/post/create-a-react-flask-project-in-2025
Miguelgrinberg
Create a React + Flask Project in 2025
My article on creating a React + Flask project is one of the most visited on this blog. Can you believe that I wrote it over 5 years ago?In this article and video I'm going to share how I'm building…
TurboDRF
The dead simple Django REST Framework API generator with role-based permissions.
https://github.com/alexandercollins/turbodrf
The dead simple Django REST Framework API generator with role-based permissions.
https://github.com/alexandercollins/turbodrf
GitHub
GitHub - AlexanderCollins/TurboDRF: The dead simple Django REST Framework API generator with role-based permissions
The dead simple Django REST Framework API generator with role-based permissions - AlexanderCollins/TurboDRF
Create your customized running plan: A step-by-step guide using Python, Elasticsearch, and Agno
The article provides a step-by-step guide to building a personalized, AI-powered running plan using Python, Elasticsearch, and Agno, leveraging your workout history to generate a four-week training schedule. It walks through extracting fitness data, storing it in Elasticsearch, using agentic AI to create a tailored plan, and exporting the results to Notion for easy tracking and progress ...
https://allthingsopen.org/articles/step-by-step-guide-python-elasticsearch-agno-agentic-ai-create-running-plan
The article provides a step-by-step guide to building a personalized, AI-powered running plan using Python, Elasticsearch, and Agno, leveraging your workout history to generate a four-week training schedule. It walks through extracting fitness data, storing it in Elasticsearch, using agentic AI to create a tailored plan, and exporting the results to Notion for easy tracking and progress ...
https://allthingsopen.org/articles/step-by-step-guide-python-elasticsearch-agno-agentic-ai-create-running-plan
All Things Open
Create your customized running plan: A step-by-step guide using Python, Elasticsearch, and Agno | We Love Open Source - All Things…
When working out, deciding what workout to do next to achieve a specific goal can be challenging. This blog post will walk you through creating a four-week workout plan as... Read More
Build an AI Agent with Python, Django, LangGraph, and Permit
This video demonstrates how to build AI agents using Django for data management, LangGraph for agent coordination, andPermit.iofor robust access control, enabling safe, granular, and flexible interactions with user data and APIs. The course walks through integrating these tools step-by-step, empowering developers to create scalable, multi-agent systems with strong permissions and rapid p...
https://www.youtube.com/watch?v=rir9B0ZShug
This video demonstrates how to build AI agents using Django for data management, LangGraph for agent coordination, andPermit.iofor robust access control, enabling safe, granular, and flexible interactions with user data and APIs. The course walks through integrating these tools step-by-step, empowering developers to create scalable, multi-agent systems with strong permissions and rapid p...
https://www.youtube.com/watch?v=rir9B0ZShug
YouTube
Build an Ai Agent with Python, Django, LangGraph, and Permit
🚀 Sign up for Permit: https://io.permit.io/langraph-permit
Django has the data. LangGraph coordinates the Ai Agents. Permit gives us the guardrails to ensure data is safe.
In this course, I'll take you step-by-step so you can build Ai Agents with Django…
Django has the data. LangGraph coordinates the Ai Agents. Permit gives us the guardrails to ensure data is safe.
In this course, I'll take you step-by-step so you can build Ai Agents with Django…
Tokasaurus
Tokasaurus is an LLM inference engine designed for high-throughput workloads.
https://github.com/ScalingIntelligence/tokasaurus
Tokasaurus is an LLM inference engine designed for high-throughput workloads.
https://github.com/ScalingIntelligence/tokasaurus
GitHub
GitHub - ScalingIntelligence/tokasaurus
Contribute to ScalingIntelligence/tokasaurus development by creating an account on GitHub.
TradingAgents
Multi-Agents LLM Financial Trading Framework.
https://github.com/TauricResearch/TradingAgents
Multi-Agents LLM Financial Trading Framework.
https://github.com/TauricResearch/TradingAgents
GitHub
GitHub - TauricResearch/TradingAgents: TradingAgents: Multi-Agents LLM Financial Trading Framework
TradingAgents: Multi-Agents LLM Financial Trading Framework - TauricResearch/TradingAgents
Stream-Omni: Simultaneous Multimodal Interactions with Large Language-Vision-Speech Model
Stream-Omni is an end-to-end language-vision-speech chatbot that simultaneously supports interaction across any modality combinations.
https://github.com/ictnlp/Stream-Omni
Stream-Omni is an end-to-end language-vision-speech chatbot that simultaneously supports interaction across any modality combinations.
https://github.com/ictnlp/Stream-Omni
GitHub
GitHub - ictnlp/Stream-Omni: Stream-Omni is a GPT-4o-like language-vision-speech chatbot that simultaneously supports interaction…
Stream-Omni is a GPT-4o-like language-vision-speech chatbot that simultaneously supports interaction across various modality combinations. - ictnlp/Stream-Omni
Building a Modern Python API with Azure Cosmos DB: A 5-Part Video Series
This five-part video series demonstrates how to build a robust, modern Python API with Azure Cosmos DB, covering topics from data modeling with Pydantic and async operations in FastAPI to batch processing and centralized error handling. Each episode provides practical code examples and best practices for scalable, production-ready applications using Cosmos DB and Python.
https://devblogs.microsoft.com/cosmosdb/building-a-modern-python-api-with-azure-cosmos-db-a-5-part-video-series
This five-part video series demonstrates how to build a robust, modern Python API with Azure Cosmos DB, covering topics from data modeling with Pydantic and async operations in FastAPI to batch processing and centralized error handling. Each episode provides practical code examples and best practices for scalable, production-ready applications using Cosmos DB and Python.
https://devblogs.microsoft.com/cosmosdb/building-a-modern-python-api-with-azure-cosmos-db-a-5-part-video-series
Microsoft News
Building a Modern Python API with Azure Cosmos DB: A 5-Part Video Series
Explore how to use Python with Azure Cosmos DB to build a production-ready API. Watch our video series for insights.
Python is Removing GIL, Gradually
This article will take you on a quick tour of the past, current, and future of the infamous GIL. More importantly, there is a beginner-friendly guide about how to install and try no-GIL Python.
https://medium.com/techtofreedom/python-is-removing-gil-gradually-b41274fa62a4?sk=9fa946e23efca96e9c31ac2692ffa029
This article will take you on a quick tour of the past, current, and future of the infamous GIL. More importantly, there is a beginner-friendly guide about how to install and try no-GIL Python.
https://medium.com/techtofreedom/python-is-removing-gil-gradually-b41274fa62a4?sk=9fa946e23efca96e9c31ac2692ffa029
Medium
Python is Removing GIL, Gradually
It’s time to try no-GIL Python in your local environment
The Missing Manual for Signals: State Management for Python Developers
https://bui.app/the-missing-manual-for-signals-state-management-for-python-developers/
https://bui.app/the-missing-manual-for-signals-state-management-for-python-developers/
bui.app
The Missing Manual for Signals: State Management for Python Developers
A practical guide to reactive state management with Signals in Python
Introduction
I maintain reaktiv. When I demo it to Python teams, I get the same response: "Why do I need this? I can just call functions when things change."
Fair question. Python…
Introduction
I maintain reaktiv. When I demo it to Python teams, I get the same response: "Why do I need this? I can just call functions when things change."
Fair question. Python…
Field Notes From Shipping Real Code With Claude
The article shares practical strategies for using Claude as an AI coding assistant to ship real production code, emphasizing the importance of clear documentation, structured prompts, and keeping humans in the loop for critical decisions and tests. It demonstrates how combining rigorous development practices with AI can dramatically accelerate productivity, illustrated by a case study re...
https://diwank.space/field-notes-from-shipping-real-code-with-claude
The article shares practical strategies for using Claude as an AI coding assistant to ship real production code, emphasizing the importance of clear documentation, structured prompts, and keeping humans in the loop for critical decisions and tests. It demonstrates how combining rigorous development practices with AI can dramatically accelerate productivity, illustrated by a case study re...
https://diwank.space/field-notes-from-shipping-real-code-with-claude
diwank.space
Field Notes From Shipping Real Code With Claude - diwank's space
Note: This post comes with a NotebookLM podcast (1linked at the bottom), and three generated audio recordings. You can read the conversation I had
Ragbits
Building blocks for rapid development of GenAI applications.
https://github.com/deepsense-ai/ragbits
Building blocks for rapid development of GenAI applications.
https://github.com/deepsense-ai/ragbits
GitHub
GitHub - deepsense-ai/ragbits: Building blocks for rapid development of GenAI applications
Building blocks for rapid development of GenAI applications - GitHub - deepsense-ai/ragbits: Building blocks for rapid development of GenAI applications
Better Django management commands with django-click and django-typer
Writing Django management commands can involve a ton of boilerplate code. But Revsys uses two libraries that cut our management command code in half while making it more readable and powerful: django-click and django-typer.
https://www.revsys.com/tidbits/better-django-management-commands-with-django-click-and-django-typer/
Writing Django management commands can involve a ton of boilerplate code. But Revsys uses two libraries that cut our management command code in half while making it more readable and powerful: django-click and django-typer.
https://www.revsys.com/tidbits/better-django-management-commands-with-django-click-and-django-typer/
REVSYS
Better Django management commands with django-click and django-typer
Writing Django management commands can involve a ton of boilerplate code. But Revsys uses two libraries that cut our management command code in half while making it more readable and powerful: django-click and django-typer.
Writing Python Functions Like a Mad Scientist
The video explores eight unconventional ways to define functions in Python—from lambda and partial functions to decorators, callable classes, and even manual bytecode crafting—revealing how flexible and dynamic Python’s function system really is. Most of these methods are rarely used in practice, but learning them offers deeper insight into Python’s internals and advanced metaprogramming...
https://www.youtube.com/watch?v=OdDI-5PBpSk
The video explores eight unconventional ways to define functions in Python—from lambda and partial functions to decorators, callable classes, and even manual bytecode crafting—revealing how flexible and dynamic Python’s function system really is. Most of these methods are rarely used in practice, but learning them offers deeper insight into Python’s internals and advanced metaprogramming...
https://www.youtube.com/watch?v=OdDI-5PBpSk
YouTube
Writing Python Functions Like a Mad Scientist
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
Most Python developers stick with def, but there’s a whole world of alternative ways to define functions—some smart, some slightly cursed. In this video, I’ll walk you through…
Most Python developers stick with def, but there’s a whole world of alternative ways to define functions—some smart, some slightly cursed. In this video, I’ll walk you through…