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If you like spotting what does not belong, digging through logs, and automating the checks that catch attacks early, this role is for you.
Protects systems by spotting attacks, investigating incidents and fixing weaknesses. Analysts write Python to parse logs, automate checks and handle passwords and tokens safely.
Take the lessons top to bottom. Each one opens with code you run, and ends with graded exercises that check your answer.
16 lessons every path shares. Skip the ones you already know.
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.
9 lessons specific to this role.
Pattern matching for text — find, extract, validate.
Parse and produce JSON — the universal data format.
Today, deltas, parsing, formatting — without losing your mind.
Read and write text and CSV using io.StringIO and the csv module — the core of every data-cleaning script.
Pull emails, phone numbers and dates out of messy text with the re module.
GET, POST, headers, status codes, JSON — how Python talks to the web.
bcrypt for passwords, JWT for stateless sessions — real production auth.
Beyond print() — structured logs, levels, handlers, and what real backends actually emit.
Turn a Python script into a proper command-line tool with args, flags, and --help.
Projects and workspace templates that fit this role. Publish the result to your portfolio page.
Finishing this path gives you the Python part of the job, with graded exercises and projects you can show. It is not, by itself, a qualification for the role.