Dive deep into Python’s internals, advanced mechanics, and the nuts & bolts of modern agent frameworks.
Go beyond surface — see exactly how things tick, break, and can be re-engineered.
If you want to truly understand Python (and the new OpenAI Agents SDK), you’re in the right place.
- CPython Internals: Bytecode, VM, memory management, reference counting, garbage collection.
- Data Model Magic: Dunder methods, MRO, metaclasses, descriptors, and why they matter.
- Async, Threads & GIL: Threading, multiprocessing, asyncio, and what’s really possible in Python concurrency.
- Iterators & Generators: How
for
works, lazy evaluation,yield
mechanics. - Memory & Performance: Using
__slots__
, memory optimizations, profiling, and weird edge cases.
- Agent Loop Internals:
Step-by-step breakdowns of what happens in an agent run (See: OpAgentLoop.md) - Hooks & Execution Order:
Understand how AgentHooks and RunHooks interact, with MCQs and real trace outputs (See: OpAgentsComplexMCQ.md) - Tool Call Logic & Inefficiencies:
Discover silent SDK inefficiencies: parallel tool calls, wasted resources, and how to optimize (See: OpAgentsEfficiencyBug.md) - Input Filtering & Handoffs:
The real precedence of input filters during agent handoffs (See: OpAgentsFilteringPrecedence.md) - Local LLM Streaming:
How to hook up and stream from a local Jan LLM with the OpenAI-compatible API (See: OpAgentsLocalLLMStreamed.py) - Sync vs Async Agent Runs:
What blocks, what doesn’t, and how to work around limitations (See: OpAgentsDiff_run_sync_and_run.py) - Tool Use Behaviors & Custom Logic:
How custom tool use behaviors work and when your decision function is called (See: OpAgentsOrderOfTools&CustomToolUseBehavior.md) - There is a lot more you can dig & explore...
- Not just theory.
- MCQs and “weird cases” to challenge your intuition and solidify real-world understanding.
- You know Python Bro very well — and want to understand what really happens under the hood.
- You’re digging the OpenAI Agents SDK or building agentic workflows.
- You love going deep and want clear explanations, real code, and edge cases that make you say “wait, what?”
- You want to master advanced stuffs.
- Dive into Python Internals to understand the language better
- Start with the OpenAI Agents SDK Guide for a comprehensive overview
- Check out the Practice Examples for hands-on learning
- Explore Advance Concepts to be confident when building
- Gaze at OpenAI Agents SDK Advance MindMap to get quick clear concepts
- Attempt Complex Quizzes to challenge yourself at the deepest levels
Need a fast, interactive reference?
Explore the online docs: PyEpicOdyssey
I’m Daniel Hashmi a Learner!
- I love creative ideas, theories & going deep.
- Building stuff for devs who want to truly understand.
- Found a Mistake?
- Want to add a weird Python or agent SDK edge case?
- Want to add your own experiment or breakdown?
- PRs are welcome!
If these resources help you:
- Give it a ⭐.
- Share it with other advanced Python or Agentic AI learners.
Keep digging and diving, keep learning! 🚀