| layout | default |
|---|---|
| title | FlyPython - LLM Agent & AI Development Hub |
| description | Curated links for Python-based AI agent development, web engineering, data workflows, and durable learning resources. |
| lang | en |
| permalink | / |
FlyPython is a curated navigation hub for two things: building modern AI agents with Python, and growing a solid Python engineering foundation. The homepage is organized as a set of jump points instead of one long undifferentiated list.
Build
Agent development
Official SDKs, frameworks, protocols, and reference projects.
Learn
Python foundations
News, books, courses, algorithms, and durable core references.
Ship
Web and APIs
FastAPI, Flask, Django, and production API resources.
Apply
Data and automation
NumPy, plotting, scraping, spreadsheets, and practical projects.
Scale
Finance and performance
Market data, backtesting, optimization, and systems thinking.
Browse
Full library
Collapsed sections for scanning the full resource set quickly.
- Agent Development
- Python Foundations
- Web and APIs
- Data and Automation
- Finance and Performance
- Full Library
- OpenAI Agents Python Documentation - Official Python SDK docs for building multi-step agents
- OpenAI Agents SDK Quickstart - Official quickstart for getting a Python agent running fast
- OpenAI Python Library - Official Python client for the OpenAI API
- OpenAI Developer Resources - Official resource hub for agents, tools, prompts, and starter apps
- Anthropic Tool Use - Official guide to tool calling and agent workflows with Claude
- Google Agent Development Kit - Official Google ADK docs for agent systems
- Model Context Protocol - Open protocol for connecting models to tools and external context
- PydanticAI - Type-safe Python agent framework from the Pydantic team
- Mastra Docs - Agent framework with workflows, evals, memory, and observability
- CrewAI Documentation - Official docs for role-based, multi-agent orchestration
- LangGraph - Stateful workflow framework for graph-based agents
- LangChain Agent Tutorials - Official tutorials for tool use and agent patterns
- Microsoft AutoGen - Multi-agent conversation framework
- Dapr Python SDK - Useful building blocks for stateful and distributed Python services
- CrewAI Examples - Working CrewAI examples maintained by the CrewAI team
- min-agent - Minimal implementation for understanding core agent mechanics
- OpenSource LLM Agents ReAct - Open-source ReAct style implementation references
- SuperModels - Desktop-focused agent runtime with reflection mechanisms
- AgentKit - Lightweight toolkit for networked and distributed agents
- OpenAI Cookbook - Official examples and practical patterns for production systems
- Prompt Optimization Guide - Practical prompt improvement workflow from OpenAI
- Learn Agentic AI with CrewAI - Broad course repository for agentic AI experiments
Durable resources for syntax, tooling, algorithms, and practical learning paths.
News, books, courses, and algorithms
- Python Crash Course: A Hands-On, Project-Based Introduction to Programming (3rd Edition, 2023)
- Starting Out with Python (4th Edition)
- Automate the Boring Stuff with Python (2nd Edition)
- Python Cookbook: Recipes for Mastering Python 3
- Effective Python: 90 Specific Ways to Write Better Python (2nd Edition)
- Clean Code in Python
Web development and APIs
Data science, automation, and practical projects
- From Python to NumPy
- Exploring Line Lengths in Python Packages
- Anatomy of Matplotlib
- Exploring United States Policing Data
- Build a Gradebook With pandas
- FiveThirtyEight Style Sheet
- Amazon Product Review Analysis