In this module, we will guide you step-by-step through setting up your Python development environment. From installing Python and PyCharm to writing and running your first Python script, you'll gain the confidence to start coding immediately.

In this module, we will focus on the Mac-specific setup for Python programming. You will learn how to install Python and PyCharm on a Mac and configure your system for smooth Python development.

In this module, we will cover the basics of Python variables, including their definition and use. Through practical coding examples, you'll learn how variables serve as fundamental building blocks in Python programs.

In this module, we will explore how variable scope affects Python programming. You will learn about the local and global scopes and how to manage variables effectively within different parts of your code.

In this module, we will delve into Python’s fundamental building blocks called tokens. You will learn about various token types, including keywords, identifiers, and literals, and understand how they form the syntax of Python programs.

In this module, we will explore the wide range of operators available in Python. You will learn how to manipulate data and control program flow using operators like arithmetic, logical, and bitwise.

In this module, we will teach you how to use comments effectively to make your Python code more readable and maintainable. You will learn the syntax for both single-line and multi-line comments.

In this module, we will cover how to convert data types in Python to ensure compatibility and correctness. Through examples, you will understand when and how to change data types in your programs.

In this module, we will show you how to make your Python programs interactive by capturing user input. You will practice using input functions and learn techniques to handle user-provided data effectively.

In this module, we will dive into Python’s decision-making statements that control the flow of your programs. You will learn how to write conditional code using if, if…else, and if…elif…else structures to build intelligent, responsive applications.

In this module, we will explore control statements that affect loop execution in Python. You will master using break to terminate loops and continue to skip iterations, enhancing the flexibility of your loops.

In this module, we will uncover the power of loops in Python programming. You will learn how to automate repetitive tasks with while and for loops, enabling you to write efficient, concise code.

In this module, we will introduce Python’s numeric data types and their applications. You will understand the characteristics of integers, floats, and complex numbers and learn how to use them effectively in your code.

In this module, we will explore one of Python’s most versatile data types—strings. You will learn how to create, manipulate, and transform strings, unlocking powerful text-processing capabilities in your programs.

In this module, we will explore Python functions as reusable blocks of code. You will learn how to define functions, pass arguments, implement recursion, and return values to write modular and efficient programs.

In this module, we will introduce lambda functions—compact, anonymous functions used for short operations. You will work through examples to understand how to implement lambda functions effectively.

In this module, we will dive into object-oriented concepts by learning about classes and objects. You will explore how to structure programs using these concepts to build scalable and organized code.

In this module, we will explore tuples as fixed collections in Python. You will understand when to use tuples over lists and practice creating and manipulating tuples through hands-on examples.

In this module, we will introduce dictionaries, a powerful way to store and access data using keys. You will learn how to create and manipulate dictionaries to manage complex data efficiently.

In this module, we will cover lists extensively, demonstrating their flexibility and use cases. You will practice creating lists, combining them, and handling multi-dimensional lists for advanced data structures.

In this module, we will introduce sets as unordered collections with unique elements. You will learn how to create and utilize sets to perform operations like union, intersection, and difference.

In this module, we will explore how to structure Python programs using modules. You will learn to import and use built-in and custom modules to write cleaner and more maintainable code.

In this module, we will delve into the math module that provides mathematical functions and constants. You will learn how to perform advanced math operations easily within your Python programs.

In this module, we will cover the statistics module for data analysis. You will learn to calculate measures like mean, median, and variance using built-in functions with real-world examples.

In this module, we will introduce the random module that helps generate random numbers and selections. You will practice creating random data to add unpredictability and variation to your programs.