1: Python fundamentals

The first is dedicated to setting up the development environment and mastering the basic syntax and core elements of Python.

• Introduction to programming and Python: Learn what Python is, its applications, and how to install Python and an IDE like PyCharm.

• Basic syntax and data types: Cover core concepts, including variables, data types (numbers, strings, booleans), and performing basic input and output operations.

• Operators: Understand and use different types of operators, such as arithmetic, assignment, comparison, logical, and membership.

• Control flow: Learn how to control program execution with conditional statements like if, elif, and else, and loop structures such as for and while.

• Functions and modules: Create and call user-defined functions, pass arguments, and import and use pre-built modules.

2: Data structures and advanced concepts

The second builds upon the basics by exploring more complex data structures and advanced programming topics.

• Python data structures: Gain a deep understanding of built-in data structures, including lists, tuples, sets, and dictionaries, and how to manipulate them effectively.

• String manipulation: Focus on advanced techniques for working with strings, including indexing, slicing, and formatting.

• Object-Oriented Programming (OOP): Get introduced to the concepts of OOP, including classes, objects, methods, attributes, and inheritance.

• File handling: Learn how to work with files by reading data from them, writing data, and handling file operations.

• Error and exception handling: Understand how to manage and handle errors and exceptions in your code to prevent program crashes.

3: Practical application and project

The final brings all the concepts together through practical application, a final project, and exposure to more specialized topics.

• Regular expressions (RegEx): Learn to use regular expressions for advanced pattern matching and text manipulation.

• Introduction to libraries: Gain exposure to popular Python libraries for different applications. This might include:

1 GUI development: An introduction to building simple graphical user interfaces using a library like Tkinter.

2 Database access: Basic connection and manipulation of a database like PostgreSQL or MySQL using Python.

• Final project and portfolio: Develop and complete a capstone project that demonstrates the skills learned throughout the course, which can be added to a professional portfolio.

• Debugging and optimization: Learn techniques for identifying and fixing bugs in

code as well as optimizing code for better performance.