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Working with pandas

pandas is one of Python's most popular packages for data analysis and manipulation. It provides powerful data structures like DataFrames, which let you work with structured data efficiently - filtering, aggregating, and transforming datasets with just a few lines of code. As a developer, you'll often encounter pandas when building e-commerce platforms, processing transaction data, or implementing analytics features for business dashboards.

In this exercise, the sales dictionary has been created and contains information on recent transactions.

Questo esercizio fa parte del corso

Intermediate Python for Developers

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Istruzioni dell'esercizio

  • Import the pandas module using an alias of pd.
  • Convert sales into a DataFrame, saving as sales_df.
  • Preview the first few rows of sales_df.

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

# Import pandas as pd
import pandas ____ ____

# Convert sales to a pandas DataFrame
sales_df = ____.____(sales)

# Preview the first few rows
print(sales_df.____())
Modifica ed esegui il codice