Data Science and Machine Learning (Theory and Projects) A to Z - Function and Module in Python: Making Modules in Python

The video tutorial explains Python modules, their creation, and usage. It covers how to define functions within a module, import them, and use them in other files. The tutorial also introduces packages, which are collections of modules organized in directory structures, and highlights their importance in managing large projects. Examples include data science packages like Numpy and Pandas.

What can a Python module contain?

• Only variables

• Functions and variables

• Only functions

• Only classes

What is the purpose of the sys module in managing paths?

• To append paths to the search path

• To delete files

• To create new directories

• To rename files

What is the function of the 'append' method in sys.path?

• To clear all paths

• To list all paths

• To add a new path

• To remove a path

What is the first step in creating a Python module in Jupyter Notebook?

• Downloading the file

• Saving the file as a .py file

• Defining functions

• Importing the module

What is the file extension for a Python module?

• .txt

• .doc

• .py

• .csv

How can you rename a module when importing it?

• Using the 'as' keyword

• Using the 'rename' function

• By changing the file name

• By using a different editor

How can you import only specific functions from a module?

• By using the 'import' keyword

• By using the 'from' keyword

• By using the 'select' keyword

• By using the 'choose' keyword

What is a package in Python?

• A single module

• A directory containing multiple modules

• A function library

• A variable collection

Which of the following is an example of a data science package?

• NumPy

• os

• math

• sys

What is the benefit of using packages?

• They are easier to write

• They require less memory

• They are faster than modules

• They allow for better organization of code