Skip to content

Generating Automated Reports

What a report pipeline looks like

  1. Collect data (CSV, API, DB)
  2. Clean/aggregate
  3. Render output (Excel/Docx/PDF)
  4. Distribute (email/Slack)
  5. Schedule (cron/schedule)

Mini example: CSV -> Excel

csv_to_excel.py
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")
csv_to_excel.py
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")

Tips

  • keep configuration separate (YAML/JSON)
  • add logging + error handling
  • store outputs with timestamps

๐Ÿงช Try It Yourself

Exercise 1 โ€“ List Files with os.listdir

Exercise 2 โ€“ Join Paths with os.path.join

Exercise 3 โ€“ Write and Read a File

If this helped you, consider buying me a coffee โ˜•

Buy me a coffee

Was this page helpful?

Let us know how we did