Data Structures

Data Structures are containers for values or data organized in a specific way to perform specific operation(s) efficiently. Common data structures include arrays, linked lists, stacks, queues, and trees. Data structures can be used as building blocks for solving data-related problems. You likely use various data structures in your day-to-day life, even if you don’t realize it. Here are a few examples in which you may see real-world examples of data structures outside of software:

  • Library Bookshelves: Libraries are organized using a data structure similar to an array or list, where books are stored in a specific order, often based on genres, authors, or the Dewey Decimal System.
  • Supermarket Aisles: Supermarkets use data structures like queues (for checkout lines) and arrays (for organizing products on shelves) to optimize customer flow.
  • Phone Directories: Phonebooks are organized using data structures like dictionaries or hash tables to allow for quick lookups of names and corresponding phone numbers.
  • Mail Sorting: Post offices use data structures such as priority queues to sort and distribute mail efficiently, ensuring timely delivery.

Algorithms are step-by-step instructions for solving specific problems. They manipulate data stored in data structures. Common algorithms are designed to sort data or search for data within a data structure, but algorithms may also be written to solve more specific problems. Similarly, you likely use some common algorithms in your daily life. Here’s a few real-world examples:

  • Shopping List: Grocery lists are often sorted by aisle to optimize a shopping trip to allow you to gather similar items around the same time.

Data Structures & Algorithms is a common topic in software engineering careers because of its aide in solving real-world problems through software. Because of this, it is a common topic in software engineering courses and often asked as part of the interview process for software development jobs. The following tutorials will guide you through real examples of data structures and algorithms that you may find in the real-world.


Big-O Notation

Introduction In the realm of computer science and software engineering, the performance of an algorithm plays a pivotal role. But how do we gauge this performance? That’s where the concept of Big-O notation comes in. This article provides an overview of Big-O notation, its importance, and some common time complexities you might come across. What is Big-O Notation? Big-O notation is a theoretical measure of the execution time of an algorithm or the space it uses in relation to its input size. Read more →

September 14, 2023


Arrays

Introduction Arrays are data structures that contain a list of sequenced data. They are often organized close together in computer’s memory or storage to optimize for iteration. Arrays are one of the most fundamental data structures in programming. They serve as a building block for many other advanced data structures and algorithms. By the end of this tutorial, you’ll understand what arrays are, how they work, and their various applications. Read more →

September 11, 2023


Thanks for visiting
We are actively updating content to this site. Thanks for visiting! Please bookmark this page and visit again soon.
Sponsor