This module focuses on the foundational Python concepts of variables, expressions, and statements. These concepts lay the groundwork for more advanced programming techniques and skills. In this week, you will learn about different data types, specifically integers, floats, strings, and booleans. You’ll also explore variable naming conventions in order to refine your syntax. Finally, you’ll examine different statement types, including assignment, conditional, and looping statements before you put your knowledge into practical application.

This module focuses on the concepts of conditionals and logical operators in Python. Throughout this module, you will explore how conditionals and logical operators can be used for decision-making, control flow, error handling, and algorithm design. By the end of this module, you should be able to put your knowledge of conditionals and logical operators into practice by creating more dynamic code to solve real-world problems.

This module will expand on the wide world of functions in Python. Throughout this module, you will refresh your knowledge on basic concepts such as defining functions before exploring new topics such as the scope and lifetime of variables, and function documentation and calling. From there, you will build on your understanding by learning about decorators and error handling. By the end of this module, you should be able to put your knowledge into practice by creating efficient functions that solve complex problems and handle errors with ease.

In this module, you will further your knowledge of Python loops. First, you will start by refreshing your knowledge of for and while loops. From there, you will dive into more advanced loop concepts, such as using break and continue statements to enhance the functionality of loop behavior. By the end of this module, you should be able to put your knowledge into practice by creating loops that use control statements and conditionals for dynamic iteration.