In this module, we will explore how to import libraries and define functions in Python. You’ll learn how to leverage built-in libraries for additional functionality and how to take user input and perform type conversions to work with different data types.

In this module, we will focus on conditional statements in Python, including relational and logical operators. You will learn how to control the flow of your program using "if" statements and logical operators, as well as create practical applications like a simple calculator and games.

In this module, we will cover looping in Python, using both "while" and "for" loops. You’ll learn how to control loop behavior with "break" and "continue" statements and apply these skills in exercises such as a "Guess the Number" game and adding user input numbers.

In this module, we will explore lists in Python, from basic operations like creation and element access to more advanced list manipulations using functions. We will also tackle real-world scenarios like granting secret access through list operations.

In this module, we will dive deep into advanced Python data types, including tuples, sets, and dictionaries. You will learn how to work with nested structures and perform various operations on them, enhancing your ability to manage and manipulate data.

In this module, we will explore advanced data transformations in Python, such as list, set, and dictionary comprehensions. You will also learn how to use generator expressions for efficient memory usage while solving real-life problems like finding numbers divisible by 7 but not by 5.

In this module, we will focus on defining and working with functions in Python. You will learn how to pass multiple arguments to functions, return values from them, and understand why functions are essential for creating modular and reusable code.