JS/TS topics
Topics given below are a general progression from fundamental concepts to more advanced concepts in JavaScript/TypeScript. Keep in mind that JavaScript and TypeScript are vast and ever-evolving languages, so continuous learning and exploration of new features and frameworks are essential.
Introduction to JavaScript/TypeScript:
- Syntax and basic data types (numbers, strings, booleans, arrays, objects)
- Variables and constants
- Control flow (if statements, loops)
- Functions and function expressions
- Scope and closures
Working with JavaScript/TypeScript in the browser:
- DOM manipulation (selecting elements, modifying content and styles)
- Event handling
- Asynchronous programming with callbacks
Arrays and Iteration:
- Array methods (forEach, map, filter, reduce)
- Working with multi-dimensional arrays
- Iteration techniques (for...of, for...in)
Object-oriented programming in JavaScript/TypeScript:
- Objects and classes
- Constructors and prototypes
- Inheritance and polymorphism
Error handling and debugging:
- Try...catch statements
- Handling and throwing errors
- Debugging tools and techniques
Modules and module bundlers:
- Importing and exporting modules
- Using module bundlers like Webpack or Rollup
Promises and async/await:
- Asynchronous programming patterns
- Promises and chaining
- Async/await syntax for handling promises
Functional programming concepts:
- Pure functions
- Immutability and immutability techniques
- Higher-order functions and function composition
Advanced TypeScript concepts:
- Advanced type system features (union types, intersection types, conditional types)
- Generics and generic types
- Type inference and type guards
JavaScript/TypeScript frameworks and libraries:
- React.js or Angular for building user interfaces
- Express.js or Nest.js for backend development
- Testing frameworks like Jest or Mocha
Design patterns and best practices:
- Module patterns (revealing module pattern, singleton pattern)
- Observer pattern
- Error handling patterns
- Code organization and architecture
Performance optimization:
- Identifying performance bottlenecks
- Optimizing code execution and memory usage
- Caching and memoization techniques