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25 minAdvancedLesson 2/5

Pandas DataFrames

Rows, columns, indexes, selection aur aggregation model karo.

Project-ready extension
1 · Samjho

Idea, words aur real-world use pehle padho.

2 · Karke dekho

Example run karo, phir code task solve karo.

3 · Samjhaao

Quick check aur apne notes se concept explain karo.

Is lesson ke baad
  • Pandas DataFrames ko apne words mein explain kar paana.
  • Working example ko run aur modify kar paana.
Yahin se start karo - pehle se kuch aana zaroori nahi

Kisi question ka answer dene se pehle hum samjhenge ki Pandas DataFrames ka matlab kya hai, ye kahan useful hai aur example kaise behave karta hai. Naye words aate hi explain kiye gaye hain.

Idea ko samjho

DataFrame labelled two-dimensional table hai. Needed columns select, boolean conditions se filter, phir deliberately group aur aggregate karo.

Real-world connection

DataFrame powerful register hai jahan columns named hain aur transformations trail chhodti hain.

Example ko step-by-step padho

  1. 1Program mein banaye gaye names aur values pehchaano.
  2. 2Har line ko top-to-bottom trace karo aur dekho wo kya change karti hai.
  3. 3Run Python dabane se pehle output predict karo, phir ek value change karo.

Kya yaad rakhna hai

  • Rows, columns, indexes, selection aur aggregation model karo.
  • Mistake useful feedback hai: error ki last line padho, ek cheez change karo aur dobara run karo.
Interactive concept lab

Concept ko step-by-step dekho

Arrows use karke data ka safar samjho.

3D flow · 1/3
Collect
CSV rows
01

Collect

Sawaal aur relevant data se shuru karo.

Runnable example

Pandas DataFrames: working example

Example run karo, phir ek value change karke apni understanding test karo.

example.py
Python 3.14 · 5s limit
Quick check · 10 points

DataFrame kya hai?

Advanced
Coding task · 20 points

Code ko complete karo

Score at least 80 wale rows filter karo.

challenge.py
Python 3.14 · 5s limit

Key takeaways

  • DataFrame labelled two-dimensional table hai. Needed columns select, boolean conditions se filter, phir deliberately group aur aggregate karo.
  • Is idea ko seekhne ka fastest way example ko change karke rerun karna hai.
Previous

Pass the quick check and coding task to complete this lesson.