Generating Automated Reports
What a report pipeline looks like
Section titled “What a report pipeline looks like”- Collect data (CSV, API, DB)
- Clean/aggregate
- Render output (Excel/Docx/PDF)
- Distribute (email/Slack)
- Schedule (cron/schedule)
Mini example: CSV -> Excel
Section titled “Mini example: CSV -> Excel”import csv
from openpyxl import Workbook
wb = Workbook()
ws = wb.active
with open("input.csv", newline="", encoding="utf-8") as f:
reader = csv.reader(f)
for row in reader:
ws.append(row)
wb.save("output.xlsx")- keep configuration separate (YAML/JSON)
- add logging + error handling
- store outputs with timestamps
🧪 Try It Yourself
Section titled “🧪 Try It Yourself”Exercise 1 – List Files with os.listdir
Section titled “Exercise 1 – List Files with os.listdir”Exercise 2 – Join Paths with os.path.join
Section titled “Exercise 2 – Join Paths with os.path.join”Exercise 3 – Write and Read a File
Section titled “Exercise 3 – Write and Read a File”pch.coffeeTagline
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