Programming Language Development (Suitable for GCSE and A-Level)

Computers are very powerful machines, that do incredible work. But how do they work? How can it tell the difference between a 1 and a 7? How can it tell the difference between reading a Word document and a PowerPoint? If you understand programmatic theory, then you can write in any programming language. This class is designed to unravel the mysteries surrounding these machines. Ranging from programming theory (what is a pointer?) to actual computational challenges (what is the correct data structure to use based on the Big O requirements?) No specific language is covered in this course, it will be purely theoretical knowledge and 'pseudocode'. The topics covered are listed below Programmatic Theory: Literals, Operators, Keywords Variables, Data Types, Generics Memory Usage, Pointers, Arrays Branching, Iteration, Iterators Functions, Control Flow, Scope, Closures, Enumerations, OOP Classes and Instances, Immutability, Inheritance Polymorphism, Exception Handling, Composition Asynchronous Programming, Multithreading, Multiprocessing Internal Workings: Binary, Hexadecimal, Number Systems Extrinsic vs Intrinsic Data, Coupling, MVC Architecture CPU, FED Cycle, Spatial Locality Caching, Performance, Memory Types Storing Complex Data (Text), Storing Complex Data (Sound), Storing Complex Data (Images) Data Structures and Algorithms: Performance, Big O, Measuring Performance Searching, Sorting, Decomposition Data Structures, Arrays, Linked Lists Single Buffers (Pools), Double Buffers, Ring Buffers Stacks, Queues, Priority Queues Heaps, Hash Tables, Graphs Trees, Binary Trees, Vectors

Python is one of the most versatile programming languages out there, used for game development, AI, web scraping, and so much more. In this class, I will break down the language into simple building blocks that can be used time and time again in any program, whether designing 2D Minecraft or coding your own JARVIS! The topics covered are listed below Basics: Literals, Operators, Keywords Variables, Data Types, Branching Iteration, Iterators, Functions Control Flow, Scope, Closures Importing, Random Numbers, Modules and Packages OOP, Classes and Instances, Inheritance Polymorphism, Exception Handling, Files Data Structures and Algorithms: Searching, Sorting, Immutability Lists, Tuples, Linked Lists Single Buffers (Pools), Double Buffers, Ring Buffers Stacks, Queues, Priority Queues Hash Tables (dictionaries), Hash Tables (custom), Vectors Graphs, Trees, Binary Trees