How not to sort in Python
SummarySometimes you want to sort, and sometimes you just want things to stay sorted. For the ...
https://www.bitecode.dev/p/how-not-to-sort-in-python
SummarySometimes you want to sort, and sometimes you just want things to stay sorted. For the ...
https://www.bitecode.dev/p/how-not-to-sort-in-python
www.bitecode.dev
How not to sort in Python
You can't make me
The 2,500 year old history of why Python’s all([]) returns True
https://blog.carlmjohnson.net/post/2020/python-square-of-opposition/
https://blog.carlmjohnson.net/post/2020/python-square-of-opposition/
blog.carlmjohnson.net
Why does all() return True if the iterable is empty?
How a Python function relates to a two thousand year old debate in philosophy
Pipeless
An open source multimedia framework to build and deploy computer perception apps in minutes without worrying about multimedia pipelines.
https://github.com/miguelaeh/pipeless
An open source multimedia framework to build and deploy computer perception apps in minutes without worrying about multimedia pipelines.
https://github.com/miguelaeh/pipeless
GitHub
GitHub - miguelaeh/pipeless: An open source multimedia framework to build and deploy computer vision apps in minutes without worrying…
An open source multimedia framework to build and deploy computer vision apps in minutes without worrying about multimedia pipelines - GitHub - miguelaeh/pipeless: An open source multimedia framewor...
Error Handling: From Charles Babbage to Python 3.11
This talk introduces the new error handling features of Python 3.11, while placing them within their historical perspective.
https://www.youtube.com/watch?v=rKBKHVvXuUI
This talk introduces the new error handling features of Python 3.11, while placing them within their historical perspective.
https://www.youtube.com/watch?v=rKBKHVvXuUI
YouTube
Irit Katriel- opening keynote: Error Handling: From Charles Babbage to Python 3.11
This talk introduces the new error handling features of Python 3.11, while placing them within their historical perspective.
How CPython Implements Reference Counting: Dissecting CPython Internals
https://codeconfessions.substack.com/p/cpython-reference-counting-internals
https://codeconfessions.substack.com/p/cpython-reference-counting-internals
Substack
How CPython Implements Reference Counting: Dissecting CPython Internals
An Extensive Walkthrough of Python’s Primary Memory Management Technique, Reference Counting
How to Use Symbolic Python to Solve and Simulate Dynamical Systems
https://neil-sawhney.com/articles/dynamics-simulations/
https://neil-sawhney.com/articles/dynamics-simulations/
OpenAgent
OpenAgent is a library of modular components and an orchestration framework. Inspired by a microservices approach, it gives developers all the components they need to build robust, stable & reliable AI applications and experimental autonomous agents.
https://github.com/dot-agent/openagent
OpenAgent is a library of modular components and an orchestration framework. Inspired by a microservices approach, it gives developers all the components they need to build robust, stable & reliable AI applications and experimental autonomous agents.
https://github.com/dot-agent/openagent
GitHub
GitHub - dot-agent/dotagent-WIP: Highly hackable components for AI apps or autonomous agents 🤖
Highly hackable components for AI apps or autonomous agents 🤖 - GitHub - dot-agent/dotagent-WIP: Highly hackable components for AI apps or autonomous agents 🤖
Containerized PDF Summarizer with FastAPI and Hamilton
A quick guide to building a PDF Summarizer (using OpenAI) with Hamilton, FastAPI and Streamlit.
https://blog.dagworks.io/p/containerized-pdf-summarizer-with
A quick guide to building a PDF Summarizer (using OpenAI) with Hamilton, FastAPI and Streamlit.
https://blog.dagworks.io/p/containerized-pdf-summarizer-with
blog.dagworks.io
Containerized PDF Summarizer with FastAPI and Hamilton
A quick guide to building a PDF Summarizer (using OpenAI) with Hamilton, FastAPI and Streamlit.
Shell-AI
Shell-AI (shai) is a CLI utility that brings the power of natural language understanding to your command line. Simply input what you want to do in natural language, and shai will suggest single-line commands that achieve your intent.
https://github.com/ricklamers/shell-ai
Shell-AI (shai) is a CLI utility that brings the power of natural language understanding to your command line. Simply input what you want to do in natural language, and shai will suggest single-line commands that achieve your intent.
https://github.com/ricklamers/shell-ai
GitHub
GitHub - ricklamers/shell-ai: LangChain powered shell command generator and runner CLI
LangChain powered shell command generator and runner CLI - ricklamers/shell-ai
Development with Large Language Models Tutorial – OpenAI, Langchain, Agents, Chroma
Throughout this course, you will complete hands-on projects will help you learn how to harness LLMs for your own projects. You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=xZDB1naRUlk
Throughout this course, you will complete hands-on projects will help you learn how to harness LLMs for your own projects. You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=xZDB1naRUlk
YouTube
Development with Large Language Models Tutorial – OpenAI, Langchain, Agents, Chroma
Welcome to this course about development with Large Language Models, or LLMs. Throughout this course, you will complete hands-on projects will help you learn how to harness LLMs for your own projects. You will build projects with LLMs that will enable you…
Collection of stand-alone Python machine learning recipes (2021)
https://github.com/rougier/ML-Recipes
https://github.com/rougier/ML-Recipes
GitHub
GitHub - rougier/ML-Recipes: A collection of stand-alone Python machine learning recipes
A collection of stand-alone Python machine learning recipes - rougier/ML-Recipes
GPU-Accelerated, Deterministic ML Dev Environments with Docker and CUDA
A Better Way to Build Your AI Enhanced Project.
https://www.makeartwithpython.com/blog/developing-machine-learning-applications/
A Better Way to Build Your AI Enhanced Project.
https://www.makeartwithpython.com/blog/developing-machine-learning-applications/
Make Art with Python
GPU-Accelerated, Deterministic ML Dev Environments with Docker and CUDA
A Better Way to Build Your AI Enhanced Project
VisionScript
A high-level programming language for using computer vision.
https://github.com/capjamesg/visionscript
A high-level programming language for using computer vision.
https://github.com/capjamesg/visionscript
GitHub
GitHub - capjamesg/visionscript: A high-level programming language for using computer vision.
A high-level programming language for using computer vision. - capjamesg/visionscript
nl2query
A framework for converting natural language text inputs to corresponding Pandas, MongoDB, Kusto and Neo4j (Cypher) queries.
https://github.com/Chirayu-Tripathi/nl2query
A framework for converting natural language text inputs to corresponding Pandas, MongoDB, Kusto and Neo4j (Cypher) queries.
https://github.com/Chirayu-Tripathi/nl2query
GitHub
GitHub - Chirayu-Tripathi/nl2query: A framework for converting natural language text inputs to corresponding Pandas, MongoDB, Kusto…
A framework for converting natural language text inputs to corresponding Pandas, MongoDB, Kusto and Neo4j (Cypher) queries. - Chirayu-Tripathi/nl2query
Asyncio, twisted, tornado, gevent walk into a bar...
SummaryConcurrency has a lot to do with sharing one resource, and Python has dedicated tools to ...
https://www.bitecode.dev/p/asyncio-twisted-tornado-gevent-walk
SummaryConcurrency has a lot to do with sharing one resource, and Python has dedicated tools to ...
https://www.bitecode.dev/p/asyncio-twisted-tornado-gevent-walk
www.bitecode.dev
Asyncio, twisted, tornado, gevent walk into a bar...
... they pay, they leave, they drink, they order.
Understanding Automatic Differentiation in 30 lines of Python
https://vmartin.fr/understanding-automatic-differentiation-in-30-lines-of-python.html
https://vmartin.fr/understanding-automatic-differentiation-in-30-lines-of-python.html
www.vmartin.fr
Victor MARTIN ~ Understanding Automatic Differentiation in 30 lines of Python
Understanding Automatic Differentiation in 30 lines of Python. In this article, I will try to iteratively build the simplest code to calculate derivatives automatically on scalars.
Understanding Immortal Objects in Python 3.12: A Deep Dive into Python Internals
A detailed examination of Python 3.12's internal changes featuring the concept of 'immortal' objects, for performance enhancements
https://codeconfessions.substack.com/p/understanding-immortal-objects-in
A detailed examination of Python 3.12's internal changes featuring the concept of 'immortal' objects, for performance enhancements
https://codeconfessions.substack.com/p/understanding-immortal-objects-in
Codingconfessions
Understanding Immortal Objects in Python 3.12: A Deep Dive into Python Internals
A detailed examination of Python 3.12's internal changes featuring the concept of 'immortal' objects, for performance enhancements