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In this module, we will walk through the process of installing and configuring Python on both Windows and Mac systems, create a Python project using PyCharm IDE, learn about package management with pip, and install iPython for a better Python development experience.

In this module, we will dive into Python's variables and data types, exploring the terminal, understanding objects and references, and working with numbers, booleans, and strings. We will also learn about string methods, slicing, indexing, and formatting.

In this module, we will focus on advanced data types such as lists, dictionaries, and tuples. We will learn how to access elements, use built-in methods, and understand the differences and applications of each data type.

In this module, we will explore comparison and Boolean operators in Python, learning how to apply them and understand their order of precedence to build more complex logical expressions.

In this module, we will cover the essential elements of control flow in Python, including conditional statements and various types of loops. We will also learn how to iterate over multiple lists and use the range function effectively within loops.

In this module, we will dive into functions and methods, focusing on creating reusable code, handling return values, and understanding variable scope. We will also explore more built-in functions and complete practical exercises to reinforce our learning.

In this module, we will introduce object-oriented programming in Python, covering the creation of classes and objects, methods, inheritance, and method overriding. Practical exercises will help solidify these concepts.

In this module, we will learn how to manage exceptions in Python using try, except, finally, and else blocks. Practical exercises will help you understand and implement these concepts effectively.

In this module, we will explore Python's built-in modules and learn how to create our own modules to organize and reuse code efficiently.

In this module, we will cover file operations in Python, including writing to and reading from files, and managing files using the "with" and "as" keywords for efficient file handling.

In this module, we will explore techniques for inspecting web elements across different browsers, use developer tools, and learn tricks for generating and customizing XPath selectors. We will also address challenges with inspecting disappearing elements.