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100+ Challenges Data Structures & Algorithms. As this repo designed to help you prepare for technical interviews at top tech companies like Meta (Facebook), Amazon, Apple, Netflix, and Google (MAANG). The focus is on building a strong foundation in clean code, data structures, and algorithms.

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MAANG Interview Preparation

You should start with:

  • Clean code
  • Data structures
  • Algorithms

For data structures, look at reviewing:

  • Array
  • LinkedList
  • Stack
  • Queue
  • HashMap
  • Tree
  • Graph

For algorithms, look at reviewing:

  • Sort algorithms — merge sort, quick sort, bucket sort, heap sort
  • Search algorithms — binary, depth-first, breadth-first
  • Greedy algorithms — Kruskal’s, Dijkstra’s

Coding Considerations

  1. Fundamentals: Grasp the basics: Master variables, data types (int, float, char, etc.), operators (+, -, *, /), control flow (if, else, for, while), and functions. Understand object-oriented programming (OOP): Learn about classes, objects, inheritance, polymorphism, and encapsulation.

  2. Data Structures & Algorithms:

Choose appropriate data structures: Arrays, pointers, structures, unions, linked lists, stacks, queues, trees, and graphs each have their strengths and weaknesses. Learn their uses and trade-offs. Design efficient algorithms: Strive for algorithms that solve problems in an optimal way (e.g., sorting algorithms like bubble sort vs. quick sort).

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100+ Challenges Data Structures & Algorithms. As this repo designed to help you prepare for technical interviews at top tech companies like Meta (Facebook), Amazon, Apple, Netflix, and Google (MAANG). The focus is on building a strong foundation in clean code, data structures, and algorithms.

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