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CoursesAlgorithms & Data Structures for Beginners

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2/35

About

  • 0IntroductionFREE1m

Arrays

  • 1RAMFREE6m
  • 2Static Arrays15m
  • 3Dynamic Arrays16m
  • 4Stacks4m

Linked Lists

  • 5Singly Linked ListsFREE12m
  • 6Doubly Linked Lists10m
  • 7Queues4m

Recursion

  • 8Factorial11m
  • 9Fibonacci Sequence13m

Sorting

  • 10Insertion Sort19m
  • 11Merge Sort22m
  • 12Quick Sort17m
  • 13Bucket Sort14m

Binary Search

  • 14Search Array16m
  • 15Search Range8m

Trees

  • 16Binary Tree11m
  • 17Binary Search Tree15m
  • 18BST Insert and Remove22m
  • 19Depth-First Search15m
  • 20Breadth-First Search11m
  • 21BST Sets and Maps6m

Backtracking

  • 22Tree Maze14m

Heap / Priority Queue

  • 23Heap Properties14m
  • 24Push and Pop18m
  • 25Heapify15m

Hashing

  • 26Hash Usage10m
  • 27Hash Implementation29m

Graphs

  • 28Intro to Graphs22m
  • 29Matrix DFS22m
  • 30Matrix BFS14m
  • 31Adjacency List20m

Dynamic Programming

  • 321-Dimension DP20m
  • 332-Dimension DP22m

Bit Manipulation

  • 34Bit Operations17m

Arrays · Chapter 1 · 6 min

RAM

Before we talk about data structures, we need a simple mental model for how your computer stores data. That model is Random Access Memory — RAM.

What is RAM?

Think of RAM as a giant row of boxes. Each box can hold a single byte, and each box has a unique address (an index). When your program runs, variables and arrays live in these boxes.

The key property of RAM is right there in the name: random access. You can jump to any address in constant time — O(1) — without scanning the boxes in between.

Why This Matters

Because accessing any address is O(1), operations like "read the i-th element of an array" are instant. This is the foundation for why arrays are so fast.

# Reading arr[5] takes the same amount of time as reading arr[5000]
arr = [10, 20, 30, 40, 50, 60]
print(arr[5])  # O(1)

Memory Has Limits

RAM is fast but finite. When we talk about space complexity later, we're talking about how much RAM an algorithm uses. A program that uses less memory can run on more machines and scale to larger inputs.

Remember: Every data structure in this course is ultimately a pattern for arranging bytes in RAM. Keep that picture in the back of your mind.

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Introduction

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Static Arrays

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