pandasEasy Examples

Data manipulation with DataFrame and Series structures

Getting started with pandas

Installation and basic usage of pandas.

python
import pandas as pd

df = pd.DataFrame({
    "name": ["Alice", "Bob", "Charlie"],
    "age": [25, 30, 35],
    "city": ["NYC", "LA", "Chicago"]
})
print(df)
print(f"\nMean age: {df['age'].mean()}")

pandas is a third-party package. Data manipulation with DataFrame and Series structures. Install with: pip install pandas

Common pandas operations

Frequently used features of pandas.

python
import pandas
print(f"pandas is ready to use")
print(f"Available: {dir(pandas)[:10]}")

These are the most commonly used features of pandas in everyday development.

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