# 🐍 FlyPython - LLM Agent & AI Development Hub

[python.flypython.com](https://python.flypython.com)

## 🤖 LLM Agent Python - Core Focus

### 🚀 Leading LLM Agent Frameworks

#### **OpenAI Agents SDK**
- [OpenAI Agents Python Documentation](https://openai.github.io/openai-agents-python/) - Official OpenAI Agents SDK for building Python agents
- [OpenAI Agents SDK Quickstart](https://openai.github.io/openai-agents-python/quickstart/) - Official quickstart guide
- [OpenAI Python Library](https://github.com/openai/openai-python) - Official OpenAI Python client
- [OpenAI Developer Resources](https://developers.openai.com/resources) - Official OpenAI development resource hub

#### **CrewAI - Multi-Agent Systems**
- [CrewAI Framework](https://github.com/joaomdmoura/crewAI) - Framework for orchestrating role-playing, autonomous AI agents
- [CrewAI Documentation](https://docs.crewai.com/) - Official CrewAI documentation
- [CrewAI Examples](https://github.com/crewAIInc/crewAI-examples) - Official example projects
- [Learn Agentic AI with CrewAI](https://github.com/panaversity/learn-agentic-ai) - Broad CrewAI learning resources

#### **LangGraph - Advanced Agent Workflows**
- [LangGraph](https://github.com/langchain-ai/langgraph) - Build stateful, multi-actor applications with LLMs
- [LangChain Agent Tutorials](https://python.langchain.com/docs/tutorials/) - Official agent and tool-calling tutorials

#### **AutoGen - Conversational AI Agents**
- [Microsoft AutoGen](https://github.com/microsoft/autogen) - Multi-agent conversation framework

#### **Agent Development Infrastructure**
- [Anthropic Tool Use](https://docs.anthropic.com/en/docs/agents-and-tools/tool-use/overview) - Official guide to tool calling and agent workflows
- [Google Agent Development Kit](https://google.github.io/adk-docs/) - Official Google ADK docs
- [Model Context Protocol](https://modelcontextprotocol.io/introduction) - Open protocol for connecting models to tools and external context
- [PydanticAI](https://ai.pydantic.dev/) - Type-safe Python agent framework
- [Mastra Docs](https://mastra.ai/docs) - Agent framework with workflows, evals, and observability
- [Dapr Python SDK](https://github.com/dapr/python-sdk) - Building blocks for distributed and stateful Python services

### 🛠️ Open Source LLM Agent Projects

#### **Minimal & Educational**
- [min-agent](https://github.com/zhouzaida/min-agent) - Minimal 200-line LLM agent for understanding core principles
- [LangChain ReAct Agent](https://github.com/botextractai/ai-langchain-react-agent) - ReAct agent with Python REPL and search
- [OpenSource LLM Agents ReAct](https://github.com/Praveengovianalytics/llm_agents_open_source) - Open-source ReAct implementation references

#### **Production-Ready Frameworks**
- [SuperModels](https://github.com/JohannesVC/SuperModels) - Desktop app for running LLM agents with reflection mechanisms
- [AgentKit](https://github.com/japanvik/agentkit) - Lightweight toolkit for distributed agents

### 📚 LLM Agent Learning Resources

#### **Comprehensive Guides**
- [OpenAI Cookbook](https://cookbook.openai.com/) - Official examples and production patterns
- [Prompt Optimization Guide](https://cookbook.openai.com/examples/optimize_prompts) - Practical prompt improvement workflow

#### **Courses & Tutorials**
- [Agentic AI Development Course](https://github.com/panaversity/learn-agentic-ai) - Complete course repository for agentic AI
- [Python for AI and Machine Learning](https://realpython.com/learning-paths/machine-learning-python/) - Python AI learning path

## 📖 Python Learning & Development

### 🎯 Quick Navigation

1. [Python News](#python-news)
2. [Python Books](#python-books)
3. [Courses](#courses)
4. [Algorithms & Data Structures](#algorithms)
5. [Web Development](#web-development)
6. [Data Science & Analysis](#data-science)
7. [Automation & Bots](#automation--bots)
8. [Finance & Trading](#finance--trading)
9. [Performance Optimization](#performance)

---

### Python News

- [Python Official](https://www.python.org/)
- [Python Insider](https://blog.python.org/)
- **Reddit Communities:**
  - [r/Python](https://www.reddit.com/r/Python/)
  - [r/learnpython](https://www.reddit.com/r/learnpython/)
  - [r/pythontips](https://www.reddit.com/r/pythontips/)
  - [r/pythoncoding](https://www.reddit.com/r/pythoncoding)

### Python Books

#### **For Beginners**
- **Python Crash Course: A Hands-On, Project-Based Introduction to Programming** (3rd Edition, 2023)
  - [Amazon](https://www.amazon.com/Python-Crash-Course-Hands-Project-Based/dp/1718502702)
- **Starting Out with Python** (4th Edition)
  - [Amazon](https://www.amazon.com/Starting-Out-Python-Tony-Gaddis/dp/0134444329)
- **Automate the Boring Stuff with Python** (2nd Edition)
  - [Free Online](https://automatetheboringstuff.com/) | [Amazon](https://www.amazon.com/Automate-Boring-Stuff-Python-Programming/dp/1593279922)

#### **Advanced Python**
- **Python Cookbook: Recipes for Mastering Python 3**
  - [Amazon](https://www.amazon.co.uk/Python-Cookbook-David-Beazley/dp/1449340377)
- **Effective Python: 90 Specific Ways to Write Better Python** (2nd Edition)
  - [Amazon](https://www.amazon.com/Effective-Python-Specific-Software-Development/dp/0134853989)
- **Clean Code in Python**
  - [Amazon](https://www.amazon.com/Clean-Code-Python-maintainable-efficient/dp/1788835832)

### Courses

#### **Beginner Courses**
- [Python for Everybody](https://www.coursera.org/specializations/python)
- [Python 3 Programming](https://www.coursera.org/specializations/python-3-programming)

#### **Advanced Learning**
- [REST APIs with Flask and Python](https://www.coursera.org/learn/packt-rest-apis-with-flask-and-python-in-2024-i01az) - Professional Flask development
- [yfinance Documentation](https://ranaroussi.github.io/yfinance/) - Official docs for Yahoo Finance data access in Python

### Algorithms

- [Interactive Python Coding Interview Challenges](https://github.com/donnemartin/interactive-coding-challenges) - Algorithms and data structures
- [Algorithms: Minimal Examples in Python](https://github.com/keon/algorithms) - Data structures and algorithms
- [Pygorithm](http://pygorithm.readthedocs.io/en/latest) - Fun way to learn algorithms

### Web Development

#### **FastAPI**
- [FastAPI Documentation](https://fastapi.tiangolo.com/) - Modern, fast web framework for building APIs
- [FastAPI Best Practices](https://github.com/zhanymkanov/fastapi-best-practices)

#### **Flask**
- [REST APIs with Flask and Python](https://www.coursera.org/learn/packt-rest-apis-with-flask-and-python-in-2024-i01az)
- [Developing RESTful APIs with Python and Flask](https://auth0.com/blog/developing-restful-apis-with-python-and-flask)
- [Flask and Code Quality](https://flake8.pycqa.org/en/latest/user/error-codes.html)

#### **Django**
- [Complete Beginner's Guide to Django - Part 1](https://simpleisbetterthancomplex.com/series/2017/09/04/a-complete-beginners-guide-to-django-part-1.html)
- [Django REST framework Quickstart](https://www.django-rest-framework.org/tutorial/quickstart/)

### Data Science

#### **NumPy**
- [From Python to NumPy](http://www.labri.fr/perso/nrougier/from-python-to-numpy/)
- [Exploring Line Lengths in Python Packages](http://jakevdp.github.io/blog/2017/11/09/exploring-line-lengths-in-python-packages)

#### **Matplotlib**
- [Anatomy of Matplotlib](https://github.com/matplotlib/AnatomyOfMatplotlib)

#### **Data Analysis Projects**
- [Exploring United States Policing Data](https://blog.patricktriest.com/police-data-python)
- [Build a Gradebook With pandas](https://realpython.com/pandas-project-gradebook/)
- [FiveThirtyEight Style Sheet](https://matplotlib.org/stable/gallery/style_sheets/fivethirtyeight.html)
- [Amazon Product Review Analysis](http://minimaxir.com/2017/01/amazon-spark)

### Automation & Bots

#### **Web Scraping**
- [Scrapy Tutorial](https://docs.scrapy.org/en/latest/intro/tutorial.html)
- [Advanced Web Scraping: Bypassing 403 Forbidden](http://sangaline.com/post/advanced-web-scraping-tutorial)
- [Mastering Python Web Scraping](https://hackernoon.com/mastering-python-web-scraping-get-your-data-back-e9a5cc653d88)

#### **Automation Projects**
- [Wedding Automation with Twilio and Python](https://www.twilio.com/blog/2017/04/wedding-at-scale-how-i-used-twilio-python-and-google-to-automate-my-wedding.html)
- [Finding Interesting People on Medium](https://medium.freecodecamp.org/how-i-used-python-to-find-interesting-people-on-medium-be9261b924b0)

#### **Spreadsheets Integration**
- [Python Excel Tutorial: The Definitive Guide](https://hackernoon.com/python-excel-tutorial-the-definitive-guide-934ee6dd15b0)
- [Data Analysis with Python in Excel](https://learning.anaconda.cloud/anaconda-certified-data-analysis-with-python-in-excel)
- [Google Sheets and Python](https://www.youtube.com/watch?v=vISRn5qFrkM)

### Finance & Trading

- [yfinance Documentation](https://ranaroussi.github.io/yfinance/)
- [Research Backtesting Environments in Python with pandas](https://www.quantstart.com/articles/Research-Backtesting-Environments-in-Python-with-pandas/)
- [Alpha Vantage API Documentation](https://www.alphavantage.co/documentation/)
- [Stock Price Data - Python for Finance](https://www.youtube.com/watch?v=2BrpKpWwT2A)
- [Analyzing Cryptocurrency Markets](https://blog.patricktriest.com/analyzing-cryptocurrencies-python)

### Performance Optimization

- [Million Requests per Second with Python](https://medium.freecodecamp.com/million-requests-per-second-with-python-95c137af319)
- [Yes, Python is Slow, and I Don't Care](https://hackernoon.com/yes-python-is-slow-and-i-dont-care-13763980b5a1)
- [Memoization in Python](https://dbader.org/blog/python-memoization)