mmabrouk / chatgpt-wrapper
API for interacting with ChatGPT using Python and from Shell.
https://github.com/mmabrouk/chatgpt-wrapper
API for interacting with ChatGPT using Python and from Shell.
https://github.com/mmabrouk/chatgpt-wrapper
GitHub
GitHub - llm-workflow-engine/llm-workflow-engine: Power CLI and Workflow manager for LLMs (core package)
Power CLI and Workflow manager for LLMs (core package) - llm-workflow-engine/llm-workflow-engine
python-sortedcontainers
An Apache2 licensed sorted collections library, written in pure-Python, and fast as C-extensions.
https://github.com/grantjenks/python-sortedcontainers
An Apache2 licensed sorted collections library, written in pure-Python, and fast as C-extensions.
https://github.com/grantjenks/python-sortedcontainers
GitHub
GitHub - grantjenks/python-sortedcontainers: Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set
Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set - grantjenks/python-sortedcontainers
Classifying Python virtual environment workflows
https://snarky.ca/classifying-python-virtual-environment-workflows/
https://snarky.ca/classifying-python-virtual-environment-workflows/
Tall, Snarky Canadian
Classifying Python virtual environment workflows
I have been spending some time as of late thinking, and asking the community via the fediverse, about how people deal with virtual environments in Python. I have ended up with various ways of classifying people's virtual environment management and I wanted…
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
https://github.com/karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
https://github.com/karpathy/nanoGPT
GitHub
GitHub - karpathy/nanoGPT: The simplest, fastest repository for training/finetuning medium-sized GPTs.
The simplest, fastest repository for training/finetuning medium-sized GPTs. - karpathy/nanoGPT
Lazy Evaluation Using Recursive Python Generators
We all are familiar with Python's generators and all their benefits. But, what if I told you that we can make them even better by combining them with recursion? So, let's see how we can use them to implement "lazy recursion" and supercharge what we already do with generators in Python!
https://martinheinz.dev/blog/88
We all are familiar with Python's generators and all their benefits. But, what if I told you that we can make them even better by combining them with recursion? So, let's see how we can use them to implement "lazy recursion" and supercharge what we already do with generators in Python!
https://martinheinz.dev/blog/88
martinheinz.dev
Lazy Evaluation Using Recursive Python Generators
<p>
We all are familiar with Python's generators and all their benefits. But, what if I told you that we can make them even better by combining them with r...
We all are familiar with Python's generators and all their benefits. But, what if I told you that we can make them even better by combining them with r...
Structured Logging with Structlog
An introduction to structured logging and its advantages using the structlog package for Python.
https://bitestreams.com/blog/structured_logging/
An introduction to structured logging and its advantages using the structlog package for Python.
https://bitestreams.com/blog/structured_logging/
altryne / chatGPT-telegram-bot
This is a very early attempt at having chatGPT work within a telegram bot
https://github.com/altryne/chatGPT-telegram-bot
This is a very early attempt at having chatGPT work within a telegram bot
https://github.com/altryne/chatGPT-telegram-bot
GitHub
GitHub - altryne/chatGPT-telegram-bot: This is a very early attempt at having chatGPT work within a telegram bot
This is a very early attempt at having chatGPT work within a telegram bot - altryne/chatGPT-telegram-bot
Illustrated Machine Learning
Whether you're just starting out in the field or you're a seasoned professional looking to refresh your knowledge, we hope our illustrations will be a valuable resource on your journey to understanding Machine Learning.
https://illustrated-machine-learning.github.io/
Whether you're just starting out in the field or you're a seasoned professional looking to refresh your knowledge, we hope our illustrations will be a valuable resource on your journey to understanding Machine Learning.
https://illustrated-machine-learning.github.io/
illustrated-machine-learning.github.io
The Illustrated Machine Learning Website
Learn Machine Learning concepts easily with clear illustrations on our website. Perfect for students, professionals, and interview prep!
A Year of Writing about Web Scraping in Review
The author shares the favorite things he wrote in a year of professional web scraping blogging at ScrapFly and his key takeaways.
https://scrapecrow.com/year-of-writing-in-review.html
The author shares the favorite things he wrote in a year of professional web scraping blogging at ScrapFly and his key takeaways.
https://scrapecrow.com/year-of-writing-in-review.html
Scrapecrow
A Year of Writing about Web Scraping in Review
I'd like to share the favorite things I wrote in a year of professional web scraping blogging at ScrapFly and my key takeaways.
Trace your Python process line by line with minimal overhead!
https://github.com/furkanonder/beetrace
https://github.com/furkanonder/beetrace
GitHub
GitHub - furkanonder/beetrace: Trace your python process line by line with eBPF!
Trace your python process line by line with eBPF! Contribute to furkanonder/beetrace development by creating an account on GitHub.
PythonMemoryModule
pure-python implementation of MemoryModule technique to load a dll entirely from memory.
https://github.com/naksyn/PythonMemoryModule
pure-python implementation of MemoryModule technique to load a dll entirely from memory.
https://github.com/naksyn/PythonMemoryModule
GitHub
GitHub - naksyn/PythonMemoryModule: pure-python implementation of MemoryModule technique to load dll and unmanaged exe entirely…
pure-python implementation of MemoryModule technique to load dll and unmanaged exe entirely from memory - naksyn/PythonMemoryModule
Prototype Pollution in Python
The main objective of this research is to prove the possibility of having a variation of Prototype Pollution in other programming languages, including those that are class-based by showing Class Pollution in Python.
https://blog.abdulrah33m.com/prototype-pollution-in-python/
The main objective of this research is to prove the possibility of having a variation of Prototype Pollution in other programming languages, including those that are class-based by showing Class Pollution in Python.
https://blog.abdulrah33m.com/prototype-pollution-in-python/
NiceGUI: Let any browser be the frontend for your Python code
https://www.reddit.com/r/Python/comments/10d6ugv/nicegui_let_any_browser_be_the_frontend_for_your/
https://www.reddit.com/r/Python/comments/10d6ugv/nicegui_let_any_browser_be_the_frontend_for_your/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
How to improve Python packaging, or why 14 tools are at least 12 too many
https://chriswarrick.com/blog/2023/01/15/how-to-improve-python-packaging/
https://chriswarrick.com/blog/2023/01/15/how-to-improve-python-packaging/
Chris Warrick
How to improve Python packaging, or why fourteen tools are at least tw
A journey to the world of Python packaging, a visit to the competition, a hopeful look at the future, and highlights from a disappointing discussion.
Take the tools out of 'Data', but don't take the data out of the tools
Using dataframes to write smaller, faster programs.
https://csvbase.com/blog/1
Using dataframes to write smaller, faster programs.
https://csvbase.com/blog/1
csvbase
Take the tools out of 'Data', but don't take the data out of the tools
Using dataframes to write smaller, faster programs
Improving Async Networking in Python
https://roberts.pm/index.php?p=article&path=p2pd&category=most-recent
https://roberts.pm/index.php?p=article&path=p2pd&category=most-recent