pandas Basics

pandas gives you the DATAFRAME — a 2D labelled table like a spreadsheet with superpowers.

For almost any data-science project in Python, pandas is your everyday tool.

Example 1 (python)

import pandas as pd
df = pd.DataFrame({'name': ['A','B','C'], 'score': [80, 92, 75]})
print(df)

Output

  name  score
0    A     80
1    B     92
2    C     75

Create a DataFrame from a dict.

Example 2 (python)

print(df[df['score'] > 80])

Output

  name  score
1    B     92

Boolean filtering.

Key points

💡 Note: Print `df.dtypes` early — wrong dtypes are the source of half the bugs in a data project.