The pathlib intake module finally stopped me from breaking shared drives on Fridays.
Python Basics
Python Launchpad for Ops Teams
Install Python confidently, script folder sweeps, and ship a first automation that renames dated exports.
18 hours · blended Self-paced labs + two live mentor checkpoints BRL 420 · informational
Program narrative
Built for analysts who live in spreadsheets but rarely touch a terminal. You will wire a repeatable folder intake, parse CSV headers safely, and log each run so teammates can audit what changed. Mentors review your script structure before you move to heavier automation tracks.
Inside the bundle
- Guided local setup with version pinning notes
- Path handling with pathlib instead of brittle string joins
- Template for weekly folder hygiene with dry-run mode
- Logging snippet you can paste into future scripts
- Office hours focused on Windows and macOS quirks
- Checklist for handing scripts to IT without surprises
- Peer review rubric aligned to our automation standards
Outcomes we expect you to evidence
- Ship a pathlib-based housekeeping script with dry-run
- Explain your script to a non-developer teammate using the log output
- Pick the next Stream Core Hub track without guessing prerequisites
Mentor anchor
Former operations lead who now coaches cohorts through their first Python deployments.
Helena Prado
Primary reviewer for this program track.
Participant questions
No. Materials cover Windows and macOS paths; mentors document any edge case you hit on your machine.
No physical kits ship with this course. You use your laptop and sample data we provide.
You can skip the first module after a short skills check, but the logging patterns remain required for downstream courses.
Recent peer notes
Dry-run logging felt fussy until mentors showed how it saved a partner team from deleting drafts.