ollama-deep-researcher
Fully local web research and report writing assistant.
https://github.com/langchain-ai/ollama-deep-researcher
Fully local web research and report writing assistant.
https://github.com/langchain-ai/ollama-deep-researcher
GitHub
GitHub - langchain-ai/local-deep-researcher: Fully local web research and report writing assistant
Fully local web research and report writing assistant - langchain-ai/local-deep-researcher
Pruna
Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.
https://github.com/PrunaAI/pruna
Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.
https://github.com/PrunaAI/pruna
GitHub
GitHub - PrunaAI/pruna: Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient…
Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead. - PrunaAI/pruna
Flet - Desktop & Mobile apps in Python!
This video tutorial demonstrates how to use the Flet framework in Python to build cross-platform mobile and desktop apps, even without prior front-end development experience. It walks through creating a simple quiz application, explaining how to structure the UI with Flet controls and handle user interactions.
https://www.youtube.com/watch?v=4aiNStwq8oU
This video tutorial demonstrates how to use the Flet framework in Python to build cross-platform mobile and desktop apps, even without prior front-end development experience. It walks through creating a simple quiz application, explaining how to structure the UI with Flet controls and handle user interactions.
https://www.youtube.com/watch?v=4aiNStwq8oU
YouTube
Flet - Desktop & Mobile apps in Python!
☕️ 𝗕𝘂𝘆 𝗺𝗲 𝗮 𝗰𝗼𝗳𝗳𝗲𝗲:
To support the channel and encourage new videos, please consider buying me a coffee here:
https://ko-fi.com/bugbytes
⭐Top resource to learn Python - https://datacamp.pxf.io/kOjKkV ⭐
In this video, we'll learn how to use Flet to build…
To support the channel and encourage new videos, please consider buying me a coffee here:
https://ko-fi.com/bugbytes
⭐Top resource to learn Python - https://datacamp.pxf.io/kOjKkV ⭐
In this video, we'll learn how to use Flet to build…
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A Very (!) Early Play With Astral's Red Knot Static Type Checker
Astral is developing a new Python type checker, aiming to be significantly faster than mypy. The author explores building and running it, finding it promisingly fast but still a work in progress with some type checking discrepancies.
https://jurasofish.github.io/a-very-early-play-with-astrals-red-knot-static-type-checker.html
Astral is developing a new Python type checker, aiming to be significantly faster than mypy. The author explores building and running it, finding it promisingly fast but still a work in progress with some type checking discrepancies.
https://jurasofish.github.io/a-very-early-play-with-astrals-red-knot-static-type-checker.html
Michael Jurasovic's Weblog
A Very (!) Early Play With Astral's Red Knot Static Type Checker
This is a casual look at a WIP piece of software that I know nothing about - don't draw too many conclusions from this. Astral is doing The Lord's work with python tooling. Ruff is a joy to use for both formatting and linting. And the newer uv has breathed…
Python’s ‘shelve’ is really useful for LLM debugging
Use python’s shelve as a quick and easy, persistent key-value store for LLM workflows.
https://www.jerpint.io/blog/python-shelve-as-cache/
Use python’s shelve as a quick and easy, persistent key-value store for LLM workflows.
https://www.jerpint.io/blog/python-shelve-as-cache/
jerpint
Python’s ‘shelve’ is really useful for LLM debugging
Python’s shelve module is a persistent key-value store perfect for LLM debugging.
RA.Aid
RA.Aid (pronounced "raid") helps you develop software autonomously. It is a standalone coding agent built on LangGraph's agent-based task execution framework. The tool provides an intelligent assistant that can help with research, planning, and implementation of multi-step development tasks.
https://github.com/ai-christianson/RA.Aid
RA.Aid (pronounced "raid") helps you develop software autonomously. It is a standalone coding agent built on LangGraph's agent-based task execution framework. The tool provides an intelligent assistant that can help with research, planning, and implementation of multi-step development tasks.
https://github.com/ai-christianson/RA.Aid
GitHub
GitHub - ai-christianson/RA.Aid: Develop software autonomously.
Develop software autonomously. Contribute to ai-christianson/RA.Aid development by creating an account on GitHub.
Pythonx
Pythonx runs a Python interpreter in the same OS process as your Elixir application, allowing you to evaluate Python code and conveniently convert between Python and Elixir data structures.
https://github.com/livebook-dev/pythonx
Pythonx runs a Python interpreter in the same OS process as your Elixir application, allowing you to evaluate Python code and conveniently convert between Python and Elixir data structures.
https://github.com/livebook-dev/pythonx
GitHub
GitHub - livebook-dev/pythonx: Python interpreter embedded in Elixir
Python interpreter embedded in Elixir. Contribute to livebook-dev/pythonx development by creating an account on GitHub.
Specializing Python with E-graphs
This blog post introduces egglog, a new library that combines equality saturation and datalog, offering advantages over traditional e-graph libraries like egg. It highlights egglog's cleaner syntax, efficient execution through database techniques, and improved performance in areas like multi-pattern matching and incremental e-matching.
https://vectorfold.studio/blog/egglog
This blog post introduces egglog, a new library that combines equality saturation and datalog, offering advantages over traditional e-graph libraries like egg. It highlights egglog's cleaner syntax, efficient execution through database techniques, and improved performance in areas like multi-pattern matching and incremental e-matching.
https://vectorfold.studio/blog/egglog
vectorfold.studio
Specializing Python with E-graphs
Specializing numerical Python using e-graphs and MLIR
How to Make Your Python Docker Image 80% Smaller
This video provides a step-by-step guide to creating optimized and efficient Docker images for Python applications, covering topics like choosing the right base image, cleaning up dependencies, using multi-stage builds, and enhancing security. It also highlights the frustrations of working with Docker and potential pitfalls to avoid.
https://www.youtube.com/watch?v=tc713anE3UY
This video provides a step-by-step guide to creating optimized and efficient Docker images for Python applications, covering topics like choosing the right base image, cleaning up dependencies, using multi-stage builds, and enhancing security. It also highlights the frustrations of working with Docker and potential pitfalls to avoid.
https://www.youtube.com/watch?v=tc713anE3UY
YouTube
This Is How You Write an Efficient Python Dockerfile
👷 Review code better and faster with my 3-Factor Framework: https://arjan.codes/diagnosis.
In this video, I’ll take you step-by-step through creating an optimized and efficient Docker image. I’ll cover picking the right base image, removing clutter from…
In this video, I’ll take you step-by-step through creating an optimized and efficient Docker image. I’ll cover picking the right base image, removing clutter from…
Virtual/AI Python Assistant - Pybot
Get ai-driven help on Python programming. You can use the assistant to debug code, generate snippets or explain python concepts.
https://www.pynerds.com/ai-assistant/
Get ai-driven help on Python programming. You can use the assistant to debug code, generate snippets or explain python concepts.
https://www.pynerds.com/ai-assistant/
Pynerds
Your Online Python Coach – Learn, Practice & Debug with AI.
Get instant AI-powered tutoring! Our virtual assistant helps you learn, debug, and master Python faster with personalized guidance, real-time feedback, and step-by-step explanations. Perfect for beginners and pros—start coding smarter today
Python Developer Tooling Handbook
This handbook guides Python developers through the ecosystem of tools that enhance productivity, covering areas like packaging, linting, formatting, and dependency management. It's structured to provide tutorials, how-to guides, explanations, and references to help make sense of the complex world of Python development.
https://pydevtools.com/handbook/
This handbook guides Python developers through the ecosystem of tools that enhance productivity, covering areas like packaging, linting, formatting, and dependency management. It's structured to provide tutorials, how-to guides, explanations, and references to help make sense of the complex world of Python development.
https://pydevtools.com/handbook/
Pydevtools
Python Developer Tooling Handbook
This is not a book about programming Python. Instead, the goal of this book is to help you understand the ecosystem of tools used to make Python development easier and more productive. For example, this book will help you make sense of the complex world of…
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Smoke test your Django admin site
This post advocates for testing Django admin changelist views, which are often overlooked despite being prone to errors due to Django's "magic-string"-heavy admin DSL. The author provides a parametric test using pytest to ensure that every admin view can render its empty state, catching potential issues early.
https://jmduke.com/posts/post/django-admin-changelist-test/
This post advocates for testing Django admin changelist views, which are often overlooked despite being prone to errors due to Django's "magic-string"-heavy admin DSL. The author provides a parametric test using pytest to ensure that every admin view can render its empty state, catching potential issues early.
https://jmduke.com/posts/post/django-admin-changelist-test/
basic-memory
Basic Memory is a knowledge management system that allows you to build a persistent semantic graph from conversations with AI assistants. All knowledge is stored in standard Markdown files on your computer, giving you full control and ownership of your data.
https://github.com/basicmachines-co/basic-memory
Basic Memory is a knowledge management system that allows you to build a persistent semantic graph from conversations with AI assistants. All knowledge is stored in standard Markdown files on your computer, giving you full control and ownership of your data.
https://github.com/basicmachines-co/basic-memory
GitHub
GitHub - basicmachines-co/basic-memory: AI conversations that actually remember. Never re-explain your project to Claude again.…
AI conversations that actually remember. Never re-explain your project to Claude again. Local-first, integrates with Obsidian. Join our Discord: https://discord.gg/tyvKNccgqN - basicmachines-co/bas...
Agent-S
An open agentic framework that uses computers like a human.
https://github.com/simular-ai/Agent-S
An open agentic framework that uses computers like a human.
https://github.com/simular-ai/Agent-S
GitHub
GitHub - simular-ai/Agent-S: Agent S: an open agentic framework that uses computers like a human
Agent S: an open agentic framework that uses computers like a human - simular-ai/Agent-S
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Tracking cocoa (and other commodity prices) with Pandas and Seaborn
Cocoa, coffee, and other commodities have gotten expensive -- but by how much? In this video, we explore the World Bank's "pink sheet" that tracks commodity prices, and then plot these changes using Seaborn.
https://www.youtube.com/watch?v=85mo5wM5tQk
Cocoa, coffee, and other commodities have gotten expensive -- but by how much? In this video, we explore the World Bank's "pink sheet" that tracks commodity prices, and then plot these changes using Seaborn.
https://www.youtube.com/watch?v=85mo5wM5tQk
YouTube
Tracking cocoa (and other commodity prices) with Pandas and Seaborn
Cocoa, coffee, and other commodities have gotten expensive -- but by how much? In this video, we explore the World Bank's "pink sheet" that tracks commodity prices, and then plot these changes using Seaborn.
These questions are from the latest issue of Bamboo…
These questions are from the latest issue of Bamboo…
stable-virtual-camera
A 1.3B generalist diffusion model for Novel View Synthesis (NVS), generating 3D consistent novel views of a scene, given any number of input views and target cameras.
https://github.com/Stability-AI/stable-virtual-camera
A 1.3B generalist diffusion model for Novel View Synthesis (NVS), generating 3D consistent novel views of a scene, given any number of input views and target cameras.
https://github.com/Stability-AI/stable-virtual-camera
GitHub
GitHub - Stability-AI/stable-virtual-camera: Stable Virtual Camera: Generative View Synthesis with Diffusion Models
Stable Virtual Camera: Generative View Synthesis with Diffusion Models - Stability-AI/stable-virtual-camera
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Introducing Eventure: A Powerful Event-Driven Framework for Python
https://www.reddit.com/r/Python/comments/1jchkuc/introducing_eventure_a_powerful_eventdriven/
https://www.reddit.com/r/Python/comments/1jchkuc/introducing_eventure_a_powerful_eventdriven/
Reddit
From the Python community on Reddit: Introducing Eventure: A Powerful Event-Driven Framework for Python
Explore this post and more from the Python community
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