QA / Test Automation Engineer

Write your first Python program and print to the screen.

Numbers, strings, booleans — the building blocks.

Arithmetic, powers, the math module — Python as a calculator.

Slicing, methods, and f-strings — text manipulation done right.

Make decisions and repeat yourself — but only on purpose.

Loop until a condition fails. Bail out or skip with break/continue.

Collections of things, and how to walk through them.

Carve up lists and strings with [start:stop:step].

Two more collections: tuples are fixed, sets are unique.

Key → value pairs. The most important data structure in Python.

Empty things are False. `is` vs `==`. The infamous None.

The Pythonic ways to iterate — count, pair, sequence.

Bundle up logic so you can reuse it.

Lists of dicts, dicts of lists — modelling real-world data.

Filter and transform in one line — the Pythonic way.

Catch what could go wrong, recover gracefully.

Bundle state and behavior — the basics of OOP in Python.

How Python finds code. import, from, as.

Parse and produce JSON — the universal data format.

GET, POST, headers, status codes, JSON — how Python talks to the web.

assert, parametrize, exceptions — the tests you'd actually write at work.

Shared setup, dependency injection, monkeypatch — how real test suites stay fast.

pdb, breakpoint(), tracebacks — beyond print-statement debugging.

Turn a Python script into a proper command-line tool with args, flags, and --help.

Beyond print() — structured logs, levels, handlers, and what real backends actually emit.

The 15 git commands you actually use. Branching, merging, rescuing yourself.