Getting Started

Ready to level up? This course helps you master algorithms, get interview-ready, and grow your tech career with confidence.

Introduction

Arrays are fundamental for storing sequential data and are critical in optimizing memory access patterns.

Modern CPUs utilise cache memory to improve data retrieval speed, and accessing array elements in sequence can lead to cache hits, significantly improving performance. This phenomenon, known as "locality of reference," makes arrays especially effective for algorithms that sequentially navigate data.

In multidimensional arrays, data storage (row-major or column-major order) directly affects performance. Understanding these memory patterns offers insights for optimizing high-performance computing and algorithm design.

By acquiring precise knowledge, beginners can grasp the critical role of accuracy in programming, establishing a solid base for mastering additional data structures and understanding intricate mathematical and computational networks.

Mastering array syntax helps solve software problems and develop applications confidently.

What you will learn

The course covers various topics, including array manipulation, multi-dimensional arrays, dynamic arrays, and standard algorithms. You will learn through theoretical lessons and hands-on coding exercises, ensuring practical experience.

Key concepts like memory management, array sorting, and searching techniques will be explored.

Upon completing this course, you can understand arrays and solve array problems more efficiently and quickly.

1. Everything you need to know about arrays.
   1. Why were arrays introduced in the first place?
   2. And how they are used to build more complex data structures.
2. Memory sketches(RAM).
3. Multi-dimensional arrays (1D, 2D, and 3D arrays).
4. Prefix, Suffix arrays.
5. 35 lessons were categorized based on topics
6. 10+ challenges.
7. 100+ illustrations and sketches.
8. Solutions written in Java, can be easily understood for other programming beginners/experts.
9. These array tricks help in competitive programming and running algorithms mostly in O(n) time.
10. GitHub repository access: Arrays Mastery - GitHub repository.

Key takeaway skills

This course provides critical skills such as:

1. Understanding array basics, differences between length and capacity.
2. Strengths and weaknesses of arrays to determine the run time complexity.
3. Insertion, deletion, and shifting algorithms.
4. Constructing an array-like data structure from scratch, an execution class runs test cases on the class to check for correctness.
5. Converting the array-like data structure into dynamic arrays(linked lists, dictionaries, etc). An execution class runs test cases in the class to check for correctness.
6. Multi-dimensional arrays, including 1D, 2D, and 3D arrays.
7. Prefix and Suffix arrays.
8. Additionally, it includes solving common array problems such as searching and sorting and challenges like finding duplicates and missing numbers.
9. These tricks and algorithmic approaches taught here could help in problem-solving and competitive programming in running algorithms, mostly in O(n) time.

Estimated Time: 10 hours.

Intended audience

Understanding how arrays store and manipulate data is necessary to ace coding interviews for tech companies.

• This course is designed for everyone who wants to improve their skills on arrays.
• It targets all software aspirants who want to get strong in mathematical and analytical thinking when solving algorithmic problems.
• This is a critical topic for interviews with FAANG companies.
• This course helps competitive programmers who participate in CodeChef, Topcoder, CodeForces, HackerRank, HackerEarth, Leetcode, etc.

We will go through what arrays are and where they are used.

Prerequisites

If you understand the basics of arrays, this course will help you rewrite your algorithmic solutions using some of the algorithmic approaches that run in the most linear time.

This course is perfect for you if you are new to arrays. We start simple before moving to more complex concepts for arrays. We then learn how to solve coding problems using various approaches.

Good to know of:

• Basics of a programming language
  • if-else conditional blocks
  • loops
  • primitive types, their range, Etc.

My solutions are written in Java for now. Java is the best language for interviews because it is well-known and similar to pseudocode. JavaScript and TypeScript solutions are in progress.

The most rewarding outcome of this course

The most rewarding outcome of this course is that you will learn:

1. Solving problems commonly asked in coding interviews related to arrays. These lessons could help programmers run algorithms mostly linear or O(n) time.
2. Hands-on practical coding challenges with examples and illustrations.
3. Resources—I have created a repository and attached all the solutions to keep things as organized as possible.
   1. Java Solutions - 👨🏻‍💻 https://github.com/ggorantala/arrays-masteryUnderstanding how arrays store and manipulate data is necessary to ace coding interviews for tech companies
   2. JavaScript Solutions - in progress
4. Questions/Quiz that tests your knowledge of each chapter.