Python In Practice - 15 Projects to Master Python - Data Cleaning

The video tutorial covers handling CSV files using pandas in Python. It explains how to import CSV files, rename columns, skip rows, and handle NaN values. The tutorial also demonstrates how to drop specific rows and columns, providing a comprehensive guide to data cleaning and manipulation using pandas.

How can you check for null values in a DataFrame?

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What method would you use to fill NaN values with the value from the row above?

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How can you view the first few rows of a DataFrame after performing data cleaning?

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What is the difference between using 'drop' and 'delete' in pandas?

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