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Hectal

Python · from your first line to the AI-era toolkit

Learn Python properly.
The language the AI era is written in.

Start from zero: no programming experience needed, and every word is explained in plain English. Each topic goes all the way down, from an everyday analogy to what the interpreter really does, with real Python you can edit and run on the page, mistakes to make on purpose, exercises your browser checks, and interview answers. You will learn the whole language, the tools professionals use around it, then NumPy, pandas, APIs and the Python behind LLM apps, RAG and agents. Newer features carry a version badge (Python 3.10+, 3.12+), so you always know what runs where.

Start from zero The full roadmap
Phases
18
Topics
177
Hours
83
Diagrams
259
Exercises
1359

By the end you can

What this course makes you able to do

  • Write, run and debug Python programs, and read any traceback with confidence
  • Use strings, lists, dictionaries, sets, functions, classes, generators and decorators fluently, and know how they work inside
  • Set up real projects with uv, pyproject.toml, type hints, pytest and Ruff
  • Explain the GIL, async, memory management and bytecode, and choose the right concurrency model
  • Work with data in NumPy and pandas, call and build APIs, and validate data with Pydantic
  • Build the Python side of AI features from scratch: LLM calls, streaming, structured output, embeddings, RAG and an agent loop

Beginner → Advanced

The curriculum, by level

Beginner
  1. 0Start Here: Programming and Python from Zero8 topics · ~4 h
  2. 1Values, Variables and Types11 topics · ~5 h
  3. 2Control Flow9 topics · ~4 h
  4. 3Strings and Text in Depth7 topics · ~3 h
  5. 4Lists, Tuples, Dictionaries and Sets11 topics · ~5 h
  6. 5Functions10 topics · ~4 h
Intermediate
  1. 6Modules, Packages and Projects9 topics · ~5 h
  2. 7Errors, Files and Data Formats12 topics · ~6 h
  3. 8Object-Oriented Python12 topics · ~5 h
  4. 9Iterators, Generators and Decorators9 topics · ~4 h
  5. 10Type Hints and Modern Python9 topics · ~4 h
  6. 11Testing and Code Quality8 topics · ~4 h
  7. 14Working with Data: NumPy and pandas10 topics · ~5 h
  8. 15Python for APIs, Services and Tools10 topics · ~5 h
Advanced
  1. 12Concurrency and Async9 topics · ~4 h
  2. 13Python Internals and Performance9 topics · ~4 h
  3. 16Python in the AI Era14 topics · ~6 h
  4. 17Interviews and Capstone10 topics · ~5 h

Where should I start?

Pick a path for your goal

Complete beginner

Never programmed before. Start at the very first topic: every word is explained.

  1. 10 · Start Here: Programming and Python from Zero
  2. 21 · Values, Variables and Types
  3. 32 · Control Flow
  4. 43 · Strings and Text in Depth
  5. 54 · Lists, Tuples, Dictionaries and Sets
  6. 65 · Functions

Job-ready Python developer

You know the basics and want the depth and tooling employers expect.

  1. 16 · Modules, Packages and Projects
  2. 27 · Errors, Files and Data Formats
  3. 38 · Object-Oriented Python
  4. 49 · Iterators, Generators and Decorators
  5. 510 · Type Hints and Modern Python
  6. 611 · Testing and Code Quality
  7. 715 · Python for APIs, Services and Tools

Heading into AI

Your goal is AI work. New to coding? Do the complete-beginner path first, then these: the Python every AI library, model API and agent is built on.

  1. 15 · Functions
  2. 29 · Iterators, Generators and Decorators
  3. 310 · Type Hints and Modern Python
  4. 412 · Concurrency and Async
  5. 514 · Working with Data: NumPy and pandas
  6. 615 · Python for APIs, Services and Tools
  7. 716 · Python in the AI Era