Generating Automated Reports
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
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
๐งช 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 coffeeWas this page helpful?
Let us know how we did
