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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