Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Pandas Section Introduction

Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Pandas Section Introduction

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

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This video tutorial introduces the Pandas library, focusing on its fundamental features. It covers how to load and write CSV files, explains the differences between data frames and numpy arrays, and demonstrates basic operations on data frames. The tutorial also highlights the use of the apply function for efficient data manipulation and shows how Pandas simplifies data plotting.

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2 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the apply function in Pandas and its use case.

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

In what ways does Pandas facilitate data plotting?

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