This complete Python course is designed to take you step by step from absolute beginner to advanced Python programmer. You’ll begin by mastering the core language fundamentals, exploring Python’s key features, identifiers, keywords and built-in data types such as integers, floats, complex numbers, booleans, strings, lists, tuples, bytes, frozen sets, ranges and dictionaries. This strong grounding ensures you understand how Python structures and manipulates data before you begin writing more complex code.

The next modules dive into Python operators, teaching you arithmetic, relational, equality, logical, bitwise, assignment, ternary and special operators so you can perform operations efficiently and write clear, concise code. You’ll also learn how to handle input and output, take user input, manage multiple inputs, work with command line arguments and format your output for professional-quality results.

Control flow statements are introduced to help you manage programme logic effectively. Lessons cover if, if-else, if-elif-else ladders, for and while loops, nested and infinite loops, and break, continue and pass statements. By mastering these, you’ll be able to build dynamic scripts and applications that respond intelligently to different conditions.

String handling is covered in depth, including indexing and slicing, string operations, membership testing, stripping whitespace, finding and counting substrings, replacing, splitting and joining, changing case, checking data types and formatting strings. Working with lists and tuples follows, showing you how to create, access, mutate, traverse, sort and reverse lists, test membership, work with nested structures, use list comprehensions, pack and unpack tuples, and leverage generator expressions.

The course finishes with sets and dictionaries, teaching you how to create and manipulate sets, perform mathematical set operations, copy and test membership, and use set comprehensions. You’ll also learn to create, update, access and delete dictionary items, use built-in functions and implement dictionary comprehensions with practical examples. By the end of the course, you’ll have the skills and confidence to write clean, efficient Python code and apply it to real-world scenarios.