Complete Python Scripting for Automation - Introduction to csv files and How to read a csv files using python?

Complete Python Scripting for Automation - Introduction to csv files and How to read a csv files using python?

Assessment

Interactive Video

•

Information Technology (IT), Architecture

•

University

•

Practice Problem

•

Hard

Created by

Wayground Content

FREE Resource

The video tutorial introduces CSV files, explaining their structure as comma-separated values used for storing tabular data. It demonstrates creating a CSV file and saving it with different delimiters. The tutorial then covers reading CSV files using Python, highlighting the use of the CSV module to parse data into rows and columns. It also discusses handling different delimiters in Python and concludes with a brief summary and mention of future topics.

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a CSV file primarily used for?

Storing video files

Storing audio files

Storing tabular data

Storing images

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the advantage of using CSV files over Excel sheets?

CSV files are simpler for storing tabular data

CSV files are easier to edit

CSV files have better security

CSV files can store images

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which application can open a CSV file by default?

Adobe Reader

VLC Media Player

Excel

Photoshop

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens if you use a different delimiter in a CSV file?

The data is automatically corrected

The file becomes unreadable

The data is stored in a single column

The file cannot be saved

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which Python module is used to read CSV files?

os

csv

sys

json

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the default delimiter used by the CSV module in Python?

Space

Comma

Semicolon

Tab

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you specify a different delimiter when reading a CSV file in Python?

By using a different Python module

By using the 'delimiter' parameter

By changing the file extension

By renaming the file

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