
edXYou'll start with algorithmic thinking—how to solve problems efficiently—then branch into multiple languages and paradigms. Python is the core, but you'll also touch C (systems), SQL (databases), JavaScript and HTML/CSS (web). Data structures, abstraction, encapsulation—every computer science concept gets concrete examples.
This isn't syntax tutorials. You'll handle exceptions, write unit tests, use libraries, extract data with regex, and model real objects with classes and methods. By the end, you've learned to think like a programmer across different domains.
A broad and robust understanding of computer science and programming. ,How to think algorithmically and solve programming problems efficiently. ,Concepts like abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. ,Familiarity in a number of languages, namely Python as well as C, SQL, and JavaScript plus CSS and HTML. ,Functions, arguments, and return values variables and types; conditionals and Boolean expressions; and loops. ,How to handle exceptions, find and fix bugs, and write unit tests. Use third-party libraries; validate and extract data with regular expressions. ,Model real-world entities with classes, objects, methods, and properties; and read and write files.
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