Practical Data Science using Python - Pandas DataFrame 3

Practical Data Science using Python - Pandas DataFrame 3

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

Wayground Content

FREE Resource

The video tutorial covers various operations on Pandas DataFrames, including adding records using series objects, direct cell manipulation with indexers, updating column values, creating new columns, and concatenating DataFrames both horizontally and vertically. It also explains the use of deep and shallow copies in DataFrames.

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1 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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