Python for Operations
The glue language that turns manual ops work into real tools.
When bash runs out of road, Python takes over — parsing JSON and CSV, calling APIs, taming log files, and building small CLIs your team actually reuses. This is a test-driven track: you make real test suites go green, the way professionals write code, so you finish with habits an interviewer can see.
By the end, you can
- Work fluently with lists, dicts, JSON, and CSV
- Write functions and prove them with a real pytest suite
- Parse messy text and logs with regular expressions
- Shell out safely with subprocess and build argparse CLIs
What's inside
Where this track goes
The first lessons are free — no card. Pro unlocks the production depth that turns this into a job-ready skill.
Free — you can do this
Free0 / 2 free lessons complete
Variables & output
Types, f-strings, and the text-vs-number bug that bites everyone.
Lists & dicts
The two data structures ops code lives in.
Pro — what you unlock next
ProFunctions & test-driven Python
Write functions and make an in-file assert suite pass.
pytest
Make a real pytest suite green, then write parametrize + pytest.raises tests.
JSON & CSV
Parse and emit the two formats infra data actually arrives in.
Regex parsing
re findall/search/sub over real log lines.
Errors & exit codes
try/except, raising on bad input, and signaling failure to the OS.
subprocess & CLIs
Shell out safely with subprocess, and build argparse CLIs with dataclasses.
Capstone
A small, tested Python tool built from a brief.
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