Roadmap

Python Developer Roadmap

Learn Python from first script to async, packages, typing, testing, and production patterns — with examples for backend, scripting, and AI/agent work.

Learn Python as a working developer language — scripting, APIs, data glue, and the default stack for AI agents — in ordered chapters with code, references, and iHateReading threads.

Python reads like pseudocode but production Python still demands clarity on types, packages, async, and error boundaries. Each chapter matches our roadmap template: core concepts, resources, YouTube, and related blogs.

Roadmap (Things to Learn)

What is Python used for in 2026?

  • Backend APIs — FastAPI, Django, Flask
  • Automation & scraping — scripts, notebooks, pipelines
  • AI & agents — OpenAI Agents SDK, LangGraph, smolagents, notebooks
  • Data & ML glue — not a full ML course here, but you'll know how Python fits the stack

YouTube learning

What Is It?

The Python track on iHateReading walks from interpreter basics to production habits: packages, async I/O, typing, and common web/agent libraries.

Each chapter is standalone enough to revisit, but the sidebar order builds concepts in a sensible stack.

This is a developer roadmap — scripting, APIs, and glue code — not a machine-learning math curriculum.

Why Should I Care?

Python is the default language for backend services, automation, data scripts, and most AI agent SDKs in 2026.

Skipping fundamentals makes framework magic frustrating when pip, imports, or the GIL show up in incidents.

Real World Analogy

This roadmap is a workshop layout: benches for syntax and data structures, then power tools for async, testing, and the FastAPI/agent ecosystem.

Visual Mental Model

text
Getting Started -> Syntax -> Functions
        -> Data structures -> Async
        -> Errors/Testing -> Ecosystem -> Interviews

Beginner Explanation

Use this hub to see the full path. Python 3 only — venv plus pip on every project, typing when teams ask for it, pytest before you trust refactors.

Smallest Possible Example

python
name = "iHateReading"
print(f"Hello, {name}")

Common Mistakes

❌ Installing packages globally on your laptop.

Use a virtual environment per project so dependencies do not fight across repos.

❌ Learning Python 2 tutorials by accident.

Python 2 is dead. Confirm examples use print() functions and modern syntax.

❌ Skipping testing because scripts feel small.

Small scripts become cron jobs. pytest saves you when they run at 3 a.m.

Real Project Example

Instagram and Dropbox scaled large Python backends; FastAPI powers modern API startups.

Agent teams at OpenAI, Anthropic, and Hugging Face ship Python SDKs you will import daily.

Build This Mini Project

List each chapter title and write which real task it helps with (API, script, test, deploy). Create a venv and run one line from the getting-started page.

Interview Question

Why learn core Python before FastAPI or agent frameworks?

Frameworks are thin layers over imports, exceptions, async, and data structures. Without those, you cannot debug request lifecycle bugs, packaging issues, or performance limits like the GIL.

Key Takeaways

  • Follow chapter order on first pass.
  • venv + pip every project.
  • Python 3 only.
  • Hub pages orient; depth lives in child chapters.

Resources

Threads in the same domain as this chapter — go deeper on iHateReading without leaving the roadmap.

Python AI agent SDKs in 2026: OpenAI vs Pydantic-AI vs smolagents vs Strands cover

Python AI agent SDKs in 2026: OpenAI vs Pydantic-AI vs smolagents vs Strands

Same three-tool agent in four frameworks — pick by execution model and testing needs.

Smallest AI Agent cover

Smallest AI Agent

Minimal file-reading agent to learn LLM tool loops without framework magic.

AI Agent cover

AI Agent

What agents are and how they differ from a single chat completion.

AI agent system that researches 100 blogs a day cover

AI agent system that researches 100 blogs a day

RSS, Reddit, YouTube transcripts, and URL hashing for a research pipeline.