Official Django MongoDB Backend Now Available in Public Preview
The official Django MongoDB Backend is now available, enabling Django developers to seamlessly integrate MongoDB into their projects with Django models, admin support, and MongoDB-specific query optimizations. This integration aims to improve developer experience and accelerate software development by leveraging the flexibility of the document model and the full feature set of MongoDB Atlas.
https://www.mongodb.com/blog/post/mongodb-django-backend-now-available-public-preview
The official Django MongoDB Backend is now available, enabling Django developers to seamlessly integrate MongoDB into their projects with Django models, admin support, and MongoDB-specific query optimizations. This integration aims to improve developer experience and accelerate software development by leveraging the flexibility of the document model and the full feature set of MongoDB Atlas.
https://www.mongodb.com/blog/post/mongodb-django-backend-now-available-public-preview
MongoDB
Official Django MongoDB Backend Now Available in Public Preview | MongoDB Blog
MongoDB Django Backend is available for public preview, try it today to help drive development.
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A year of uv: pros, cons, and should you migrate
Summary(Warning, this is a long article. I got carried away.)After one year of trying uv, the new ...
https://www.bitecode.dev/p/a-year-of-uv-pros-cons-and-should
Summary(Warning, this is a long article. I got carried away.)After one year of trying uv, the new ...
https://www.bitecode.dev/p/a-year-of-uv-pros-cons-and-should
www.bitecode.dev
A year of uv: pros, cons, and should you migrate
Yes, probably.
IntentGuard
A Python library for verifying code properties using natural language assertions.
https://github.com/kdunee/intentguard
A Python library for verifying code properties using natural language assertions.
https://github.com/kdunee/intentguard
GitHub
GitHub - kdunee/intentguard: A Python library for verifying code properties using natural language assertions.
A Python library for verifying code properties using natural language assertions. - kdunee/intentguard
PEP 517 build system popularity
Analysis of PEP 517 build backends used in 8000 top PyPI packages.
https://labs.quansight.org/blog/pep-517-build-system-popularity
Analysis of PEP 517 build backends used in 8000 top PyPI packages.
https://labs.quansight.org/blog/pep-517-build-system-popularity
labs.quansight.org
PEP 517 build system popularity
Analysis of PEP 517 build backends used in 8000 top PyPI packages
FastSQLA
SQLAlchemy extension for FastAPI with built-in pagination and asyncio support.
https://github.com/hadrien/fastsqla
SQLAlchemy extension for FastAPI with built-in pagination and asyncio support.
https://github.com/hadrien/fastsqla
GitHub
GitHub - hadrien/FastSQLA: Async SQLAlchemy 2.0+ extension for FastAPI with SQLModel support, built-in pagination & more
Async SQLAlchemy 2.0+ extension for FastAPI with SQLModel support, built-in pagination & more - hadrien/FastSQLA
DuckDB: SQL and DataFrames Just Got Married
This video introduces DuckDB, a lightweight, embedded database that allows running SQL queries directly on Pandas DataFrames without the need for a server, simplifying data analytics. It showcases how DuckDB streamlines operations from in-memory storage to persistent storage and Jupyter integrations, also highlighting multithreading capabilities and extended SQL functionalities.
https://www.youtube.com/watch?v=8SYQtpSk_OI
This video introduces DuckDB, a lightweight, embedded database that allows running SQL queries directly on Pandas DataFrames without the need for a server, simplifying data analytics. It showcases how DuckDB streamlines operations from in-memory storage to persistent storage and Jupyter integrations, also highlighting multithreading capabilities and extended SQL functionalities.
https://www.youtube.com/watch?v=8SYQtpSk_OI
YouTube
Stop Struggling with DataFrames – Try DuckDB for SQL on Pandas
➡️ Try Convex here: https://convex.link/arjancodes.
In this video, I’ll talk about the power of DuckDB, a lightweight, embedded database that lets you run SQL queries directly on Pandas DataFrames—no servers, no hassle. I’ll show you how it simplifies analytics…
In this video, I’ll talk about the power of DuckDB, a lightweight, embedded database that lets you run SQL queries directly on Pandas DataFrames—no servers, no hassle. I’ll show you how it simplifies analytics…
audiobox-aesthetics
Unified automatic quality assessment for speech, music, and sound.
https://github.com/facebookresearch/audiobox-aesthetics
Unified automatic quality assessment for speech, music, and sound.
https://github.com/facebookresearch/audiobox-aesthetics
GitHub
GitHub - facebookresearch/audiobox-aesthetics: Unified automatic quality assessment for speech, music, and sound.
Unified automatic quality assessment for speech, music, and sound. - facebookresearch/audiobox-aesthetics
Preswald
Your lightweight companion for building simple, interactive, and dynamic data apps in Python.
https://github.com/StructuredLabs/preswald
Your lightweight companion for building simple, interactive, and dynamic data apps in Python.
https://github.com/StructuredLabs/preswald
GitHub
GitHub - StructuredLabs/preswald: Preswald is a WASM packager for Python-based interactive data apps: bundle full complex data…
Preswald is a WASM packager for Python-based interactive data apps: bundle full complex data workflows, particularly visualizations, into single files, runnable completely in-browser, using Pyodide...
Getting Started with Real-World Robots
This tutorial will guide you through the process of setting up and training a neural network to autonomously control a real robot.
https://github.com/huggingface/lerobot/blob/main/examples/7_get_started_with_real_robot.md
This tutorial will guide you through the process of setting up and training a neural network to autonomously control a real robot.
https://github.com/huggingface/lerobot/blob/main/examples/7_get_started_with_real_robot.md
DeepScaleR
Democratizing Reinforcement Learning for LLMs.
https://github.com/agentica-project/deepscaler
Democratizing Reinforcement Learning for LLMs.
https://github.com/agentica-project/deepscaler
GitHub
GitHub - agentica-project/rllm: Democratizing Reinforcement Learning for LLMs
Democratizing Reinforcement Learning for LLMs. Contribute to agentica-project/rllm development by creating an account on GitHub.
potpie
Prompt-To-Agent : Create custom engineering agents for your codebase.
https://github.com/potpie-ai/potpie
Prompt-To-Agent : Create custom engineering agents for your codebase.
https://github.com/potpie-ai/potpie
GitHub
GitHub - potpie-ai/potpie: Prompt-To-Agent : Create custom engineering agents for your codebase
Prompt-To-Agent : Create custom engineering agents for your codebase - potpie-ai/potpie
Building a Secure RAG with Python, LangChain, and OpenFGA
Learn how to use Okta FGA to secure your LangChain RAG agent in Python.
https://auth0.com/blog/building-a-secure-rag-with-python-langchain-and-openfga/
Learn how to use Okta FGA to secure your LangChain RAG agent in Python.
https://auth0.com/blog/building-a-secure-rag-with-python-langchain-and-openfga/
Auth0 - Blog
Building a Secure RAG with Python, LangChain, and OpenFGA | Auth0
Learn how to use Okta FGA to secure your LangChain RAG agent in Python.
How I Built a Deep Learning Library from Scratch Using Only Python, NumPy & Math
This post introduces "ML by Hand," a Python-based machine learning library built from scratch using NumPy for educational purposes, emphasizing transparency and direct correspondence to mathematical formulas over efficiency, contrasting with libraries like PyTorch. The library aims to provide a deeper understanding of deep learning models by stripping down abstraction layers and enabling...
https://www.henrypan.com/blog/2025-02-06-ml-by-hand/
This post introduces "ML by Hand," a Python-based machine learning library built from scratch using NumPy for educational purposes, emphasizing transparency and direct correspondence to mathematical formulas over efficiency, contrasting with libraries like PyTorch. The library aims to provide a deeper understanding of deep learning models by stripping down abstraction layers and enabling...
https://www.henrypan.com/blog/2025-02-06-ml-by-hand/
Henry's Blog
How I Built a Deep Learning Library from Scratch Using Only Python, NumPy & Math
Motivation and Goals Abstraction layers of Machine Learning Libraries Comparing this project to PyTorch for the same functionality Efficiency vs Learning Technical Design Tensor Class Tensor-level Operations Function class Computational Graph Tensor.backward()…
The Ultimate Guide to Django Templates
Learn about Django templates with this guide. Explore what they are, why they're useful, and how to use them. Discover the different types of Django templates.
https://blog.jetbrains.com/pycharm/2025/02/the-ultimate-guide-to-django-templates
Learn about Django templates with this guide. Explore what they are, why they're useful, and how to use them. Discover the different types of Django templates.
https://blog.jetbrains.com/pycharm/2025/02/the-ultimate-guide-to-django-templates
ScrapeServ
A self-hosted API that takes a URL and returns a file with browser screenshots.
https://github.com/goodreasonai/ScrapeServ
A self-hosted API that takes a URL and returns a file with browser screenshots.
https://github.com/goodreasonai/ScrapeServ
GitHub
GitHub - goodreasonai/ScrapeServ: A self-hosted API that takes a URL and returns a file with browser screenshots.
A self-hosted API that takes a URL and returns a file with browser screenshots. - goodreasonai/ScrapeServ