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Data Plains

Age 19 · Python depth, Pandas & first ML · 13 chapters

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First-year college Campus track — resume-grade projects.

Chapter 1 of 13 14 min

Python depth: functions & errors

Story

Aanya and Vihaan reach a new challenge: "Python depth: functions & errors". Think about safe average.

Pixel beeps: "Don't just read about it — let's learn by DOING. Try the demo below! "

The idea

Write robust functions. Good functions do one thing, return clear values, and handle edge cases. Default arguments and *args make them flexible.

Handle errors. try/except lets your code recover from bad input instead of crashing — essential for real tools.

Indian-life example — Safe average

def average(nums): return sum(nums)/len(nums) if nums else 0 — handles an empty list gracefully.

Interactive demo — do it yourself
Pixel · Step 1 of 4

Tap a Mango, then tap the Mango box.

Mango (0)
Orange (0)
Practice — your turn

A good function does…

try.py
Python sandbox
Terminal
› Click Run to execute. First run loads Python (~6s).
Recap
  • Write robust functions
  • Handle errors
+15 XP on complete

Finish the demo and practice above to continue.