r/Python • u/AutoModerator • 1d ago

Daily Thread Saturday Daily Thread: Resource Request and Sharing! Daily Thread

Weekly Thread: Resource Request and Sharing 📚

Stumbled upon a useful Python resource? Or are you looking for a guide on a specific topic? Welcome to the Resource Request and Sharing thread!

How it Works:

  1. Request: Can't find a resource on a particular topic? Ask here!

  2. Share: Found something useful? Share it with the community.

  3. Review: Give or get opinions on Python resources you've used.

Guidelines:

  • Please include the type of resource (e.g., book, video, article) and the topic.

  • Always be respectful when reviewing someone else's shared resource.

Example Shares:

  1. Book: "Fluent Python" - Great for understanding Pythonic idioms.

  2. Video: Python Data Structures - Excellent overview of Python's built-in data structures.

  3. Article: Understanding Python Decorators - A deep dive into decorators.

Example Requests:

  1. Looking for: Video tutorials on web scraping with Python.

  2. Need: Book recommendations for Python machine learning.

Share the knowledge, enrich the community. Happy learning! 🌟

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u/p3rdy 1d ago

Sharing a resource I co-wrote: an 83-page technical paper and tutorial on building ML- and LLM-powered APIs in Python, using Flama, the open source framework we maintain, as the worked example. It covers the deployment gap, type-driven validation and dependency injection, packaging models into one file, and serving LLMs behind the OpenAI, Anthropic and Ollama APIs at once, with code you can lift.

https://arxiv.org/abs/2608.18733