FireDucks
Compiler Accelerated DataFrame Library for Python with fully-compatible pandas API.
https://fireducks-dev.github.io/
Compiler Accelerated DataFrame Library for Python with fully-compatible pandas API.
https://fireducks-dev.github.io/
fireducks-dev.github.io
FireDucks is a fast DataFrame python library with pandas-api
Bagels - Expense tracker that lives in your terminal (TUI)
https://www.reddit.com/r/Python/comments/1gy0r1v/bagels_expense_tracker_that_lives_in_your/
https://www.reddit.com/r/Python/comments/1gy0r1v/bagels_expense_tracker_that_lives_in_your/
Reddit
From the Python community on Reddit: Bagels - Expense tracker that lives in your terminal (TUI)
Explore this post and more from the Python community
letta-ai / letta
Letta (formerly MemGPT) is a framework for creating LLM services with memory.
https://github.com/letta-ai/letta
Letta (formerly MemGPT) is a framework for creating LLM services with memory.
https://github.com/letta-ai/letta
GitHub
GitHub - letta-ai/letta: Letta (formerly MemGPT) is the stateful agents framework with memory, reasoning, and context management.
Letta (formerly MemGPT) is the stateful agents framework with memory, reasoning, and context management. - letta-ai/letta
Ollama Course – Build AI Apps Locally
Learn how to set up and use Ollama to build powerful AI applications locally. This hands-on course covers pulling and customizing models, REST APIs, Python integrations, and real-world projects like a Grocery List Organizer, RAG System, and an AI Recruiter Agency. Perfect for developers and AI enthusiasts ready to bring their ideas to life with local LLMs.
https://www.youtube.com/watch?v=GWB9ApTPTv4
Learn how to set up and use Ollama to build powerful AI applications locally. This hands-on course covers pulling and customizing models, REST APIs, Python integrations, and real-world projects like a Grocery List Organizer, RAG System, and an AI Recruiter Agency. Perfect for developers and AI enthusiasts ready to bring their ideas to life with local LLMs.
https://www.youtube.com/watch?v=GWB9ApTPTv4
YouTube
Ollama Course – Build AI Apps Locally
Learn how to set up and use Ollama to build powerful AI applications locally. This hands-on course covers pulling and customizing models, REST APIs, Python integrations, and real-world projects like a Grocery List Organizer, RAG System, and an AI Recruiter…
bionemo-framework
A framework for building and adapting AI models in drug discovery at scale.
https://github.com/NVIDIA/bionemo-framework
A framework for building and adapting AI models in drug discovery at scale.
https://github.com/NVIDIA/bionemo-framework
GitHub
GitHub - NVIDIA/bionemo-framework: BioNeMo Framework: For building and adapting AI models in drug discovery at scale
BioNeMo Framework: For building and adapting AI models in drug discovery at scale - NVIDIA/bionemo-framework
The Best No-Nonsense VSCode Setup for Python Devs
Setting up VSCode for Python development doesn't have to be a headache! This video walks you through a complete and practical VSCode setup that tackles common pain points—like missing imports, mismatched Python versions, and pytest issues with finding tests.
https://www.youtube.com/watch?v=PwGKhvqJCQM
Setting up VSCode for Python development doesn't have to be a headache! This video walks you through a complete and practical VSCode setup that tackles common pain points—like missing imports, mismatched Python versions, and pytest issues with finding tests.
https://www.youtube.com/watch?v=PwGKhvqJCQM
YouTube
COMPLETE No-Nonsense VSCode Setup for Python Devs
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
Setting up VSCode for Python development doesn't have to be a headache! In this video, I walk you through a complete and practical VSCode setup that tackles common pain points—like…
Setting up VSCode for Python development doesn't have to be a headache! In this video, I walk you through a complete and practical VSCode setup that tackles common pain points—like…
Promptic
Promptic aims to be the "requests" of LLM development -- the most productive and pythonic way to build LLM applications.
https://github.com/knowsuchagency/promptic
Promptic aims to be the "requests" of LLM development -- the most productive and pythonic way to build LLM applications.
https://github.com/knowsuchagency/promptic
GitHub
GitHub - knowsuchagency/promptic: 90% of what you need for LLM app development. Nothing you don't.
90% of what you need for LLM app development. Nothing you don't. - knowsuchagency/promptic
Abusing Talon to use my eye tracker in a project
The author describes how they used Talon, a voice control software, to access eye tracker data for a game project. They created a Python script within Talon to expose eye gaze data via a local web server, allowing integration with a Rust program
https://ntietz.com/blog/abusing-talon-eyetracker/
The author describes how they used Talon, a voice control software, to access eye tracker data for a game project. They created a Python script within Talon to expose eye gaze data via a local web server, allowing integration with a Rust program
https://ntietz.com/blog/abusing-talon-eyetracker/
Hiding a message in my PyTorch weights
This post explains how to embed an arbitrary message into a tensor that contains floating-point numbers, and how to detect the presence of such a message.
https://blog.gabornyeki.com/2024-11-hiding-a-message-in-my-pytorch-weights/
This post explains how to embed an arbitrary message into a tensor that contains floating-point numbers, and how to detect the presence of such a message.
https://blog.gabornyeki.com/2024-11-hiding-a-message-in-my-pytorch-weights/
Gabornyeki
Hiding a message in my PyTorch weights | Gábor Nyéki
This post explains how to embed an arbitrary message into a tensor that contains floating-point numbers, and how to detect the presence of such a message.
Let's build a AI Photo Generator with Python and FastAPI
This course teaches how to fine-tune the Flux AI model using Replicate to create personalized image generation. It also covers building a FastAPI service to access and utilize this model efficiently.
https://www.youtube.com/watch?v=lV82LDKT16A
This course teaches how to fine-tune the Flux AI model using Replicate to create personalized image generation. It also covers building a FastAPI service to access and utilize this model efficiently.
https://www.youtube.com/watch?v=lV82LDKT16A
YouTube
Let's build a AI Photo Generator with Python and FastAPI
"I want an image of me riding a unicorn" - is now here. In this course we fine-tune the amazing Flux open-source image generation AI model.
To make this happen, we use Replicate's AI services to train and fine-tune Flux with our data. You can upload about…
To make this happen, we use Replicate's AI services to train and fine-tune Flux with our data. You can upload about…
fast-graphrag
Streamlined and promptable Fast GraphRAG framework designed for interpretable, high-precision, agent-driven retrieval workflows.
https://github.com/circlemind-ai/fast-graphrag
Streamlined and promptable Fast GraphRAG framework designed for interpretable, high-precision, agent-driven retrieval workflows.
https://github.com/circlemind-ai/fast-graphrag
GitHub
GitHub - circlemind-ai/fast-graphrag: RAG that intelligently adapts to your use case, data, and queries
RAG that intelligently adapts to your use case, data, and queries - circlemind-ai/fast-graphrag
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