Constraints are Good: Python's Metadata Dilemma
Some of the issues of why Python packaging is unnecessarily hard.
https://lucumr.pocoo.org/2024/11/26/python-packaging-metadata/
Some of the issues of why Python packaging is unnecessarily hard.
https://lucumr.pocoo.org/2024/11/26/python-packaging-metadata/
Armin Ronacher's Thoughts and Writings
Constraints are Good: Python's Metadata Dilemma
Some of the issues of why Python packaging is unnecessarily hard.
Pushing the boundaries of Streamlit
How I learned to stop worrying and love Streamlit's execution model.
https://twitchard.github.io/posts/2024-11-27-streamlit.html
How I learned to stop worrying and love Streamlit's execution model.
https://twitchard.github.io/posts/2024-11-27-streamlit.html
twitchard.github.io
Pushing the boundaries of Streamlit
How I learned to stop worrying and love Streamlit's execution model
aisuite
Simple, unified interface to multiple Generative AI providers.
https://github.com/andrewyng/aisuite
Simple, unified interface to multiple Generative AI providers.
https://github.com/andrewyng/aisuite
GitHub
GitHub - andrewyng/aisuite: Simple, unified interface to multiple Generative AI providers
Simple, unified interface to multiple Generative AI providers - GitHub - andrewyng/aisuite: Simple, unified interface to multiple Generative AI providers
Solving Boolean satisfiability and integer programming with Python packaging
https://mmaaz.ca/writings/pipip.html
https://mmaaz.ca/writings/pipip.html
Muhammad Maaz
Solving Boolean satisfiability and integer programming with Python packaging
moka-py
A high performance caching library for Python written in Rust.
https://github.com/deliro/moka-py
A high performance caching library for Python written in Rust.
https://github.com/deliro/moka-py
GitHub
GitHub - deliro/moka-py: A high performance caching library for Python written in Rust
A high performance caching library for Python written in Rust - deliro/moka-py
Better, Faster Python Projects: A Deep Dive into uv
A comprehensive guide on why and how to start using uv—the package manager (and much more) that's taken the Python world by storm.
https://www.saaspegasus.com/guides/uv-deep-dive/
A comprehensive guide on why and how to start using uv—the package manager (and much more) that's taken the Python world by storm.
https://www.saaspegasus.com/guides/uv-deep-dive/
SaaS Pegasus
uv: An In-Depth Guide to Python's Fast and Ambitious New Package Manager
A comprehensive guide on why and how to start using uv—the package manager (and much more) that's taken the Python world by storm.
langflow-ai / langflow
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
https://github.com/langflow-ai/langflow
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
https://github.com/langflow-ai/langflow
GitHub
GitHub - langflow-ai/langflow: Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows. - langflow-ai/langflow
HunyuanVideo
A Systematic Framework For Large Video Generation Model Training.
https://github.com/Tencent/HunyuanVideo
A Systematic Framework For Large Video Generation Model Training.
https://github.com/Tencent/HunyuanVideo
GitHub
GitHub - Tencent-Hunyuan/HunyuanVideo: HunyuanVideo: A Systematic Framework For Large Video Generation Model
HunyuanVideo: A Systematic Framework For Large Video Generation Model - Tencent-Hunyuan/HunyuanVideo
Building a Chat Backend for Wikipedia Articles in Django
Learn how to build a scalable chat backend using Django, Wikipedia data, OpenAI embeddings, and FAISS. This step-by-step guide covers data ingestion, embedding generation, and building a conversational interface for intelligent querying.
https://lincolnloop.com/insights/building-a-chat-backend-for-wikipedia-articles-in-django
Learn how to build a scalable chat backend using Django, Wikipedia data, OpenAI embeddings, and FAISS. This step-by-step guide covers data ingestion, embedding generation, and building a conversational interface for intelligent querying.
https://lincolnloop.com/insights/building-a-chat-backend-for-wikipedia-articles-in-django
Lincoln Loop
Building a Chat Backend for Wikipedia Articles in Django
| Lincoln Loop
| Lincoln Loop
Learn how to build a scalable chat backend using Django, Wikipedia data, OpenAI embeddings, and FAISS. This step-by-step guide covers data ingestion, embedding generation, and building a conversational interface for intelligent querying.
I trained myself to run farther using the Strava API and an IOT dog food bowl full of M&Ms
David Mayer shares how he used an IoT dog food dispenser filled with M&Ms and connected to the Strava API to reward himself for running. This experiment in classical conditioning helped him form a lasting running habit, culminating in completing a half marathon without relying on the dispenser anymore.
https://www.mayer.cool/writings/pavlovs-half-marathon/
David Mayer shares how he used an IoT dog food dispenser filled with M&Ms and connected to the Strava API to reward himself for running. This experiment in classical conditioning helped him form a lasting running habit, culminating in completing a half marathon without relying on the dispenser anymore.
https://www.mayer.cool/writings/pavlovs-half-marathon/
www.mayer.cool
I trained myself to run farther using the Strava API and an IOT dog food bowl full of M&Ms