This module will cover how to install python and set up a virtual environment, as well as, how to install some important tools such as anaconda prompt and jupyter notebook. In addition, I will go over some important concepts of python, why it is used, the pros and cons of the language, and how to start python.

This module will cover the concept and syntax of relational, assignment, and boolean operators and how you can use these control statements in a loop. Loop, in laymen's language, is really just a way of repeating code until a certain exit condition is met.

The module will discuss some of the most common and built-in data structures in python, how to effectively use them, and what are some built-in functions and methods those data structures provide. In addition, the module will cover the use case of some of these data structures and how they are used in the real world to solve problems or store information. To clarify, a data structure really just the way we effectively organize data in a computer.

This segment of the course will explain how to use functions in python to best effectively create a scalable and maintainable code base.

This segment of the course will explain how to use data or objects, rather than functions and code logic, in python to best effectively create a scalable and maintainable code base. It is essentially another way to organize code in a way using unique data attributes and behavior of the thing you trying to model.

This session will go over some of the best practices of writing code, general coding layout, and syntax rules. Simpler code means more maintainable and readable code.