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elephantoo

Python

Readable, powerful and beginner-friendly — the language of automation, data and AI.

A complete, job-ready Python course built on Python 3.12+. Start from zero with installation, the REPL, variables, strings, conditionals, loops and Python’s core data structures; write Pythonic code with comprehensions, modules, virtual environments, files and exceptions; master object-oriented Python, dataclasses, generators, decorators, type hints and the standard library; then go professional with regular expressions, HTTP APIs, pytest, logging, concurrency, sqlite3 and MySQL, pandas and NumPy, Flask and FastAPI, and modern packaging.

38 lessons ~9 h 21 min Beginner → Advanced

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What you’ll learn

  • Install Python 3.12+, work in the REPL, and run, debug and structure scripts from the terminal
  • Use numbers, strings, f-strings, lists, tuples, sets and dictionaries confidently and idiomatically
  • Control program flow with conditionals, match statements and loops, and write reusable functions with a clear grasp of scope
  • Write Pythonic code with comprehensions, *args/**kwargs, lambdas, generators, decorators and context managers
  • Organise projects into modules and packages, manage dependencies with pip and virtual environments, and package code with pyproject.toml
  • Handle errors robustly with exceptions and custom exception classes, and read and write files, CSV and JSON
  • Design object-oriented programs with classes, inheritance, magic methods, properties and dataclasses, checked with type hints and mypy
  • Call web APIs with requests, process text with regular expressions, and test code with pytest
  • Add logging, debug with pdb, and speed up I/O- and CPU-bound work with threads, processes and asyncio
  • Store data in sqlite3 and MySQL, analyse it with pandas and NumPy, and build web APIs with Flask and FastAPI

Syllabus

7 modules · 38 lessons
  1. 1Getting started: install, REPL & scriptsInstall Python 3.12+, explore the interactive REPL, run your first script and read tracebacks.
  2. 2Variables & data typesDynamic typing, naming rules, core built-in types, None, type conversion and how names reference objects.
  3. 3Numbers & operatorsint and float, arithmetic and division gotchas, precedence, comparisons, math and Decimal for money.
  4. 4Strings & f-stringsIndexing and slicing, everyday string methods, split/join, Unicode and powerful f-string formatting.
  5. 5Input & outputprint() options, reading and validating input(), stdout vs stderr, sys.argv, argparse and exit codes.
  6. 6Conditionals: if, elif, else & matchBranching, truthiness, combining conditions, guard clauses, the ternary expression and pattern matching.
  7. 7Loops: for, while & friendsfor and while loops, range, enumerate, zip, break/continue, loop else and loop-replacing built-ins.
  1. 13*args, **kwargs & lambdasFlexible parameters, argument unpacking, forwarding calls, lambdas, key functions, map and filter.
  2. 14Comprehensions & generator expressionsList, dict and set comprehensions, filtering, nesting, generator expressions and when not to use them.
  3. 15Modules, packages & importsSplitting code into modules, import styles, __name__ == "__main__", sys.path, packages and relative imports.
  4. 16pip & virtual environmentsCreate venvs, install packages with pip, requirements.txt, the externally-managed error, pipx and uv.
  5. 17Files & context managersRead and write text and binary files, file modes, pathlib basics, the with statement and custom context managers.
  6. 18Exceptions & custom exceptionstry/except/else/finally, raising, the exception hierarchy, custom exception classes, chaining and EAFP.