🐍 Backend · role roadmap · updated for 2026

Python Developer Roadmap

Python is the most popular programming language in the world, used for web backends, automation, data and AI. This free Python developer roadmap covers the language properly — data structures, OOP, packaging and advanced features — then SQL, building APIs with FastAPI and Django, testing with pytest, Docker and deployment.

24steps in 4 stages
24free lessons · 128 min read
~180 hstudy & practice
3–5 monthsBeginner → Job-ready
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Next up · step 1 Python Basics → 🎉 Every lesson done — take a Skill Forge test below!
By the end you'll be able to:
  • ✔Write clean, idiomatic Python with OOP, typing and packaging
  • ✔Query and design relational databases with SQL and PostgreSQL
  • ✔Build validated, authenticated REST APIs with FastAPI and Django
  • ✔Test with pytest and deploy Python services in Docker

The roadmap

1
Stage 1 of 4 · 8 steps

Python foundations

  1. What Python is, why it is so popular, and how to install it and run your first script.

    Start lesson →
  2. venv, pip and requirements.txt, and a look at modern tools like uv and poetry.

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  3. Variables, indentation-based blocks, core types, lists, tuples, dicts, sets, comprehensions and slicing.

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  4. Defining functions, default and keyword arguments, *args/**kwargs, classes, inheritance and dunder methods.

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  5. try/except/else/finally, raising and re-raising, custom exception classes, and exception chaining with raise...from.

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  6. Reading and writing files with with, pathlib and JSON, and organizing code into modules and packages with __init__.py.

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  7. Generators, decorators, context managers, and an honest look at the GIL and when asyncio or multiprocessing help.

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  8. Git & GitHub 5 min

    What Git is, installing it, the three areas, and making your first commit.

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Stage 1 project · add it to your portfolio

Expense tracker CLI

A command-line expense tracker with categories, monthly reports and CSV export, packaged so it installs with pip.

2
Stage 2 of 4 · 4 steps

Data & SQL

  1. What SQL is, the relational model, and the users/orders/products schema used throughout this section.

    Start lesson →
  2. SQL Joins 5 min

    INNER, LEFT, RIGHT, and FULL joins explained with examples, plus self-joins.

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  3. PostgreSQL 3 min

    What PostgreSQL is, why teams choose it over MySQL, and connecting via psql.

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  4. 1NF, 2NF, and 3NF explained with a before/after example, and when to deliberately denormalize.

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Stage 2 project · add it to your portfolio

Reporting queries

Move your expenses into PostgreSQL with a normalised schema and write the monthly report as SQL.

3
Stage 3 of 4 · 7 steps

Web backends

  1. What FastAPI is, installing it with Uvicorn, your first app, and the automatic /docs page.

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  2. Pydantic request models, automatic validation errors, field constraints, and response models.

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  3. OAuth2PasswordBearer, issuing and validating JWTs, and a complete protected-route example.

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  4. What Django is, installing it, starting a project, the project/app distinction, and the dev server.

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  5. Defining models, migrations, the ORM query API, and ForeignKey/ManyToMany relationships.

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  6. Installing DRF, ModelSerializer, and a complete ViewSet + router example for a JSON API.

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  7. Flask Optional 5 min

    What Flask is, how it compares to Django, and how to install it and run your first app.

    Start lesson →
Stage 3 project · add it to your portfolio

Expense API

A FastAPI service with validated endpoints, JWT login and per-user data, plus a Django admin for support staff.

4
Stage 4 of 4 · 5 steps

Test & ship

  1. Writing test functions, asserting raised exceptions, fixtures for setup/teardown, and parametrized tests.

    Start lesson →
  2. TestClient, and a complete endpoint test using a mocked dependency via dependency_overrides.

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  3. What containers are, how they differ from VMs, installing Docker, and your first container.

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  4. Running Uvicorn workers or Gunicorn+Uvicorn workers in production, with a Dockerfile example.

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  5. Real Python interview questions and answers covering fundamentals, data structures, concurrency and decorators.

    Start lesson →
Stage 4 project · add it to your portfolio

Shipped & tested

Reach 80%+ test coverage with pytest, containerise the API and deploy it with a public URL.

🏁

Finish line: prove it

Finished the roadmap? Turn it into proof employers trust.

🏆 Earn a free Skill Forge certificate

🧭 Where to go next

Python Developer Roadmap FAQ

Is Python good for getting a job?
Yes. Python is used for web backends, automation, data engineering and AI, so it opens more doors than almost any other language. Pair it with SQL and one web framework to be job-ready.
Should I learn Django or FastAPI?
FastAPI is quick to learn and great for APIs and AI services; Django is batteries-included for full web applications with an admin. This roadmap teaches FastAPI first, then Django.
How long does it take to learn Python?
Most beginners learn the basics in 4–6 weeks. Following this whole roadmap to deployable APIs typically takes 3–5 months with 1–2 hours a day.
Can I move to AI after this roadmap?
Yes — this is the ideal foundation. Once you can write solid Python and build APIs, continue with the AI Engineer roadmap.

Keep going after this roadmap

See all 14 roadmaps →