Arrays & Lists

Master the foundational data structures of computer science. Learn how arrays work under the hood, when to use linked lists, and master key algorithmic patterns like Sliding Window and Two Pointers.

Module Contents

  1. Introduction to Arrays & Lists

Master the internals of Static and Dynamic Arrays. Understand RAM as a linear address space, the math behind O(1) access, and the amortized proof of dynamic resizing.

  1. Array Searching

Learn the basics of searching in arrays: Linear Search vs Binary Search.

  1. Array Manipulation

Learn essential array manipulation techniques including insertion, deletion, and in-place rotation algorithms. Master O(1) space complexity solutions.

  1. Sliding Window Technique

Master the Sliding Window algorithm pattern. Learn how to optimize O(N2) subarray problems to O(N) using fixed and dynamic windows. Includes interactive visualizations and real-world interview problems.

  1. Interview Training: Arrays

Practice essential Array and List patterns. Redirects to the Problem Vault for deep-dive solutions.

  1. Two Pointer Technique

Master the Two Pointer technique for solving array and string problems. Learn how to optimize space and time complexity using opposite-directional and equi-directional pointers.

  1. Prefix Sums

Master the Prefix Sum technique to solve range query problems in O(1) time.

  1. Real World Applications

Discover how Arrays and Lists are used in real-world software engineering, from databases to graphics.

  1. Module Review: Arrays & Lists

Review key concepts from the Arrays & Lists module including static vs dynamic arrays, sliding window, and two pointers.

Arrays & Lists

[!NOTE] This module explores the core principles of Arrays & Lists, deriving solutions from first principles and hardware constraints to build world-class, production-ready expertise.

1. Practice

[!NOTE] Looking for hands-on algorithmic exercises? We have migrated all coding challenges for this module into the Problem Vault to give you a centralized, focused practice environment.