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.

How can you check if all arguments passed to a function are numeric?

What is the significance of the return statement in a function?

How do you download a Python file as a .py file?

What steps do you take to import a module from a different directory?