Getting Started with Pandas

As a Data Engineer, pandas is one of the most critical tools in my arsenal. It provides high-performance data structures like DataFrames that make manipulating tabular data incredibly easy.

Reading Data

import pandas as pd

# Load a CSV file
df = pd.read_csv('data.csv')

# Display the first 5 rows
print(df.head())

Why Pandas?

• Excellent handling of missing data.
• Built-in time series functionality.
• Powerful group by capabilities for aggregation.

I'll be posting more advanced tutorials on Apache Airflow and Dataflow soon!