Python is an open-source (free), general-purpose (unlimited), programming language which is the most popular for doing data science. Many companies and businesses are now using Python to gain insights from their data, which helps them to have competitive advantage. This course will take a practical approach by using codes written in Jupyter notebooks (a tool that most Data Scientists use on a daily basis) to teach you how to program with Python with the focus on doing data science.
Functions in Python
Functions in Python
One of the core principles of any programming language is, "Don't Repeat Yourself!". This module will teach you how to write effective Python functions only once to perform your everyday repetitive actions as many times as you can imagine.
In this module, you will learn about:
- Functions in Python
- The general syntax for defining a function
- Advantages of using functions
- How to return a value from a function
- Default argument values
- Positional arguments
- Keyword arguments
- Mixing positional and keyword arguments
- How to accept an arbitrary number of arguments
- How to accept a sequence of arbitrary length
- How to accept an arbitrary number of keyword arguments
You will receive links to download this course in zip format during Checkout, along with an emailed link that will last for 30 days.