autotab
Build browser agents for real world tasks.
https://github.com/Planetary-Computers/autotab-starter
Build browser agents for real world tasks.
https://github.com/Planetary-Computers/autotab-starter
GitHub
GitHub - Planetary-Computers/autotab-starter: Build browser agents for real world tasks
Build browser agents for real world tasks. Contribute to Planetary-Computers/autotab-starter development by creating an account on GitHub.
LocalPilot
Use GitHub Copilot locally on your Macbook with one-click!
https://github.com/danielgross/localpilot
Use GitHub Copilot locally on your Macbook with one-click!
https://github.com/danielgross/localpilot
GitHub
GitHub - danielgross/localpilot
Contribute to danielgross/localpilot development by creating an account on GitHub.
Waymax
A JAX-based simulator for autonomous driving research.
https://github.com/waymo-research/waymax
A JAX-based simulator for autonomous driving research.
https://github.com/waymo-research/waymax
GitHub
GitHub - waymo-research/waymax: A JAX-based simulator for autonomous driving research.
A JAX-based simulator for autonomous driving research. - waymo-research/waymax
Embeddings: What they are and why they matter
In this article, Simon Willison explores the concept of embeddings in data analysis and machine learning, highlighting their role in representing complex data for efficient processing and providing practical insights on their use.
https://simonwillison.net/2023/Oct/23/embeddings/
In this article, Simon Willison explores the concept of embeddings in data analysis and machine learning, highlighting their role in representing complex data for efficient processing and providing practical insights on their use.
https://simonwillison.net/2023/Oct/23/embeddings/
Simon Willison’s Weblog
Embeddings: What they are and why they matter
Embeddings are a really neat trick that often come wrapped in a pile of intimidating jargon. If you can make it through that jargon, they unlock powerful and exciting techniques …
Mastering API Testing with FastAPI: Databases, Dependencies, and More!
This tutorial will guide you through API testing using FastAPI, complete with a full code example. Use this as a template for testing your own APIs!
https://www.youtube.com/watch?v=9gC3Ot0LoUQ
This tutorial will guide you through API testing using FastAPI, complete with a full code example. Use this as a template for testing your own APIs!
https://www.youtube.com/watch?v=9gC3Ot0LoUQ
YouTube
Mastering API Testing with FastAPI: Databases, Dependencies, and More!
👷 Review code better and faster with my 3-Factor Framework: https://arjan.codes/diagnosis.
In this tutorial, I'll guide you through API testing using FastAPI, complete with a full code example. Use this as a template for testing your own APIs!
Git Repo:…
In this tutorial, I'll guide you through API testing using FastAPI, complete with a full code example. Use this as a template for testing your own APIs!
Git Repo:…
lea
lea is a minimalist alternative to tools like dbt, SQLMesh, and Google's Dataform.
https://github.com/carbonfact/lea
lea is a minimalist alternative to tools like dbt, SQLMesh, and Google's Dataform.
https://github.com/carbonfact/lea
GitHub
GitHub - carbonfact/lea: 🏃♀️ Minimalist SQL orchestrator
🏃♀️ Minimalist SQL orchestrator. Contribute to carbonfact/lea development by creating an account on GitHub.
dataelement / bisheng
Bisheng is an open LLM devops platform for next generation AI applications.
https://github.com/dataelement/bisheng
Bisheng is an open LLM devops platform for next generation AI applications.
https://github.com/dataelement/bisheng
GitHub
GitHub - dataelement/bisheng: BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and…
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation,...
Esmerald
Esmerald is a modern, powerful, flexible, high performant, web framework designed to build not only APIs but also full scalable applications from the smallest to enterprise level.
https://github.com/dymmond/esmerald
Esmerald is a modern, powerful, flexible, high performant, web framework designed to build not only APIs but also full scalable applications from the smallest to enterprise level.
https://github.com/dymmond/esmerald
GitHub
GitHub - dymmond/esmerald: Esmerald framework - Highly scalable, performant, easy to learn, easy to code and for every sizeable…
Esmerald framework - Highly scalable, performant, easy to learn, easy to code and for every sizeable and complex application - dymmond/esmerald
huggingface / pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
https://github.com/huggingface/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
https://github.com/huggingface/pytorch-image-models
GitHub
GitHub - huggingface/pytorch-image-models: The largest collection of PyTorch image encoders / backbones. Including train, eval…
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V...
Analyzing Data 170,000x Faster with Python
In this post, we will go through a journey of profiling and iteratively speeding up the code, in Python.
https://sidsite.com/posts/python-corrset-optimization/
In this post, we will go through a journey of profiling and iteratively speeding up the code, in Python.
https://sidsite.com/posts/python-corrset-optimization/
sidsite
Analyzing Data 170,000x Faster with Python
The article, Analyzing Data 180,000x Faster with Rust, first presents some unoptimized Python code, and then shows the process of rewriting and optimizing the code in Rust, resulting in a 180,000x speed-up. The author notes:
From Chaos to Cohesion: Architecting Your Own Monorepo
Build a simple monorepo using GitHub Actions as a CI/CD tool.
https://monadical.com/posts/from-chaos-to-cohesion.html
Build a simple monorepo using GitHub Actions as a CI/CD tool.
https://monadical.com/posts/from-chaos-to-cohesion.html
Monadical Consulting
From Chaos to Cohesion: Architecting Your Own Monorepo
Build a simple monorepo using GitHub Actions as a CI/CD tool.
Why is the Django Admin “Ugly”?
This article discusses why the Django admin is not designed to be beautiful. It discusses the history of the Django admin and the reasons why it was designed the way it is. Some of the important points are that the Django admin is intended for internal use and not intended for building an entire front end around.
https://www.coderedcorp.com/blog/why-is-the-django-admin-ugly/
This article discusses why the Django admin is not designed to be beautiful. It discusses the history of the Django admin and the reasons why it was designed the way it is. Some of the important points are that the Django admin is intended for internal use and not intended for building an entire front end around.
https://www.coderedcorp.com/blog/why-is-the-django-admin-ugly/
CodeRed
Why is the Django Admin “Ugly”? — CodeRed
Updated October 27, 2023 to include additional quotes and commentary.
While talking with people at Djangocon US, one question kept coming up: “why is the Django admin so ‘ugly’?”. I’m paraphrasin...
While talking with people at Djangocon US, one question kept coming up: “why is the Django admin so ‘ugly’?”. I’m paraphrasin...
Why was the "lambda" keyword added for anonymous functions?
https://www.reddit.com/r/Python/comments/17mrpof/why_was_the_lambda_keyword_added_for_anonymous/
https://www.reddit.com/r/Python/comments/17mrpof/why_was_the_lambda_keyword_added_for_anonymous/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
Algorithmic Trading – Machine Learning & Quant Strategies Course with Python
This course covers three advanced trading strategies. First, it focuses on Unsupervised Learning with S&P 500 data, followed by a Twitter Sentiment Investing Strategy for NASDAQ stocks, and an Intraday Strategy using the GARCH model and technical indicators to identify daily and intraday trading signals, enriching your financial skill set.
https://www.youtube.com/watch?v=9Y3yaoi9rUQ
This course covers three advanced trading strategies. First, it focuses on Unsupervised Learning with S&P 500 data, followed by a Twitter Sentiment Investing Strategy for NASDAQ stocks, and an Intraday Strategy using the GARCH model and technical indicators to identify daily and intraday trading signals, enriching your financial skill set.
https://www.youtube.com/watch?v=9Y3yaoi9rUQ
YouTube
Algorithmic Trading – Machine Learning & Quant Strategies Course with Python
In this comprehensive course on algorithmic trading, you will learn about three cutting-edge trading strategies to enhance your financial toolkit. In the first module, you'll explore the Unsupervised Learning Trading Strategy, utilizing S&P 500 stocks data…