Things I’ve learned about building CLI tools in Python

I build a lot of command-line tools in Python. It’s become my favorite way of quickly turning a piece of code into something I can use myself and package up for other people to use too. Here are some notes on what I’ve learned about designing and implementing CLI tools in Python so far.

https://simonwillison.net/2023/Sep/30/cli-tools-python/

Mastering Integration Testing with FastAPI

Integration Testing FastAPI: Harnessing the Power of Mocking Backend Services with MongoMock, MockS3, and More.

https://alex-jacobs.com/posts/fastapitests/

OpenAccess-AI-Collective / axolotl

Go ahead and axolotl questions

https://github.com/OpenAccess-AI-Collective/axolotl

fishaudio / Bert-VITS2

vits2 backbone with bert

https://github.com/fishaudio/Bert-VITS2

dreamgaussian

Generative Gaussian Splatting for Efficient 3D Content Creation.

https://github.com/dreamgaussian/dreamgaussian

cloudgrep

cloudgrep is grep for cloud storage.

https://github.com/cado-security/cloudgrep

aigc-apps / sd-webui-EasyPhoto

📷 EasyPhoto | Your Smart AI Photo Generator.

https://github.com/aigc-apps/sd-webui-EasyPhoto

cappa

Declarative CLI argument parser.

https://github.com/dancardin/cappa

Django: Move a template tag library into builtins

Django’s template engine has an underappreciated builtins option that selects libraries to preload ...

https://adamj.eu/tech/2023/09/15/django-move-template-tag-library-builtins/

ziggy-pydust

A toolkit for building Python extensions in Zig.

https://github.com/fulcrum-so/ziggy-pydust

tairov / llama2.mojo

Inference Llama 2 in one file of pure 🔥

https://github.com/tairov/llama2.mojo

Python Type Hints: pyastgrep case study

The author shares their experience adding type hints to Python code in their tool pyastgrep. They discuss the challenges and benefits of using static type checking and interactive programming help to catch errors and improve code readability.

https://lukeplant.me.uk/blog/posts/python-type-hints-pyastgrep-case-study/

How to Use an LLM in a SaaS Platform

The video will walk you through how large language models are being used in a SaaS platform called Learntail. Learntail is an easy-to-use AI-powered quiz-generating tool.

https://www.youtube.com/watch?v=fH8fJYWfJcg

Build Your First Pytorch Model In Minutes!

In this video we will learn through doing! Build your very first PyTorch model that can classify images of playing cards.

https://www.youtube.com/watch?v=tHL5STNJKag

The Elegance of Modular Data Processing with Python’s Pipeline Approach

Diving into the intricacies of data processing can often feel like navigating an intricate labyrinth. We build these elaborate processes, only to leave them untouched for fear of breaking them. But what if we could improve it? Here's my perspective on crafting a more maintainable, modular data processing workflow in Python which leans into the "pipe and filter" architectural pattern.

https://github.com/dkraczkowski/dkraczkowski.github.io/tree/main/articles/crafting-data-processing-pipeline

RegisterFields in Django

An explanation of a Django model field that returns an instance of a class depending on a key.

https://www.better-simple.com/django/2023/10/03/registerfields-in-django/

Python in Visual Studio Code – October 2023 Release

This release includes the following announcements:

https://devblogs.microsoft.com/python/python-in-visual-studio-code-october-2023-release/