Automation lab: build a sales summary script
Combine parsing, loops, functions, and validation in a practical mini-lab.
- Generate a region-level sales summary from raw records.
A realistic beginner automation task is transforming raw text records into a concise summary report. This combines multiple fundamentals: string parsing, dictionaries, loops, and defensive input handling.
1records = ["north,120", "south,90", "north,30"]
2summary = {}
3for row in records:
4 region, amount = row.split(",")
5 summary[region] = summary.get(region, 0) + int(amount)
6print(summary["north"], summary["south"])150 90
This pattern appears in lightweight analytics jobs, ops dashboards, and support reporting scripts. Keep record parsing explicit and report generation deterministic.
Key takeaways
Generate a region-level sales summary from raw records.
Read the output to check what your program did.
Keep indentation consistent in Python blocks.
Lesson quiz
5 questions · pass with 4 correct · up to 50 XP
Passing this quiz completes the lesson and keeps your streak going. Questions you miss come back in review sessions later.
Practice: write Python
Write Python in the editor and run it against sample inputs. Python runs locally in your browser using a WebAssembly runtime.
Build a two-region sales report
Read integer n, then n lines in format region,amount. Regions are north or south. Ignore invalid amount rows. Print north=<total>; south=<total>.
- Valid and invalid rows
- Unknown region ignored
Python runs in a sandboxed browser worker with a 60 second time limit. Its runtime loads from the Pyodide CDN; your code stays in this browser.
Questions about this lesson
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