Python for Data Analysis: Step-By-Step with Projects - Define Functions, Use Packages

This video tutorial covers the basics of defining and using functions in Python, including the syntax and benefits of creating custom functions. It also explains advanced techniques such as using parameters and return statements. The tutorial introduces modules and packages, explaining their role in organizing code. It provides guidance on installing and using packages with PIP and Conda, using Numpy as an example. The tutorial concludes with practical tips for effective Python programming.

What is the purpose of defining your own functions in Python?

Explain the advantages of using functions instead of copying and pasting code.

What is the syntax for defining a function in Python?

How can you add documentation to a function in Python?

What is the difference between positional arguments and keyword arguments?

Describe how to set default parameter values in a function.

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

How do you define a module in Python?

What is the difference between a module and a package in Python?

How can you install a package using pip?