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Introduction to Programming

Build a solid programming foundation: variables, control flow, functions, and essential data structures.

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Variables Control flow Functions

Programming Fundamentals

Variables and Data Types Understand variables, constants, and the fundamental data types used in programming — integers, floats, strings, and booleans. Control Structures: Conditionals and Loops Learn how to control program flow using if/else statements, while loops, for loops, and nested structures. Functions and Modular Programming Learn to define and call functions, understand parameters and return values, scope, and the benefits of modular code design.

Weekly Programming Topics

Procedures, Functions and Structure Charts Procedures, functions, documenting code, local/global scope, classes, and hierarchy charts. Composite Data Types Enumerations, dictionaries, sets, and how composite data structures organise related values. File Handling, Static and Dynamic Typing Value-returning functions, modules, file input/output, records, exceptions, and typing models. Selection and Iteration Decision structures, relational operators, if/else, match-case, while loops, for loops, and menu-driven list processing. Introduction to Arrays List processing, records in files, number files, multidimensional lists, and plotting list data. GUI Drawing and Control Graphical user interfaces, drawing shapes with canvas widgets, and introductory PyGame concepts. Data References, Advanced Arrays and Searching Data references, advanced array processing, and search techniques. GUI and Game Programming GUI programming and game-programming concepts for event-driven interactive applications. Sorting, Complexity and Recursion Sorting algorithms, Big O complexity, and recursive problem solving. Testing and Debugging Python testing, debugging workflow, test outcomes, and practical test preparation. Programming in Other Languages Introduction to C, differences from Python, variables, functions, arrays, strings, and custom data types. Testing, Tools and Projects pytest fixtures, parametrized tests, unittest, exception handling, breakpoints, profiling, and packages.