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Versatile language — from Zero to Expert

Python

Python from A to Z: syntax, data structures, OOP, Django/FastAPI, pandas/NumPy, machine learning, testing, packaging and deployment.

7progressive levels
31detailed sections
100%free resources
ENinterface in English

🇫🇷 Version française 🇪🇸 Versión española 🌐 العربية

Updated September 24, 2026

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Guide resources

0

Level 0 — Getting started

Understand Python, install it and run your first program.

  1. Why Python? (use cases: web, data, AI, automation)
  2. Install Python & an editor (VS Code / PyCharm)
  3. First program & the interactive interpreter
Start level 0 →
1

Level 1 — Language basics

Variables, conditions, loops and functions: the essential foundation.

  1. Variables, types & operators
  2. Conditions (if / elif / else)
  3. Loops (for, while) & comprehensions
  4. Functions, arguments & scope
  5. Complete running project
Start level 1 →
2

Level 2 — Data structures & OOP

Lists, dictionaries, files and object-oriented programming.

  1. Lists, tuples, dicts & sets
  2. Strings, formatting (f-strings) & files
  3. Object-oriented programming (classes, inheritance, dunder)
  4. Error handling & exceptions
Start level 2 →
3

Level 3 — Intermediate Python

Modules, virtual environments and advanced language features.

  1. Modules, packages & standard library
  2. pip, virtual environments (venv) & dependency management
  3. Advanced functions: decorators, generators, lambdas, map/filter
  4. Automated tests (pytest) & typing (type hints)
Start level 3 →
4

Level 4 — Specializations (Web, Data, AI, Automation)

Choose your field and dive into the flagship libraries.

  1. Web back-end: Django
  2. Web API: Flask & FastAPI
  3. Data Science: NumPy, pandas, Matplotlib
  4. Machine Learning & AI: scikit-learn, TensorFlow / PyTorch
  5. Automation & web scraping
Start level 4 →
5

Level 5 — Pro level & production readiness

Clean code, async programming, containerization and deployment.

  1. Clean code & design patterns (PEP 8, SOLID)
  2. Async programming (asyncio)
  3. Docker for Python
  4. Deployment & CI/CD (GitHub Actions, cloud)
Start level 5 →
6

Level 6 — In practice

Case studies, error playbook, toolkit and field feedback.

  1. Case studies
  2. Recurring issues (playbook)
  3. Best practices & pitfalls
  4. Toolkit
  5. Field feedback
  6. Going further
Start level 6 →

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