of the problem-solving process. Given a problem, a computer scientist’s goal is to develop an algorithm, a step-by-step list of instructions for solving any instance of the problem that might arise. Algorithms are finite processes that if followed will …

Why Study Data Structures and Abstract Data Types? 1.6. Why Study Algorithms? 1.7. Reviewing Basic C++. 1.8. Getting Started with Data. 1.8.1. Built-in Atomic Data Types. 1.9. Collections. 1.9.1. Arrays. 1.9.2. Vectors. 1.9.3. Strings. 1.9.4. Hash Tables. 1.9.5. Unordered Sets. 1.10. Defining C++ Functions. 1.10.1.

Oct 8, 2024 · Array is one of the most widely used data structure and is frequently asked in coding interviews to the problem solving skills. The following list of 50 array coding problems covers a range of difficulty levels, from easy to hard, to help candidates prepare for interviews.

Nov 15, 2020 · I will dive deep into 20 problem-solving techniques that you must know to excel at your next interview. They have helped me at work too and even given me ideas for a side project I am working on. Also, the last section includes a step-by-step guide explaining how to learn data structures and algorithms, with examples.

Sep 1, 2013 · Problem Solving with Algorithms and Data Structures in python byBrad Miller, David Ranum.

Apr 13, 2025 · DSA (Data Structures and Algorithms) is the study of organizing data efficiently using data structures like arrays, stacks, and trees, paired with step-by-step procedures (or algorithms) to solve problems effectively. Data structures manage how data is stored and accessed, while algorithms focus on processing this data. Why to Learn DSA?

By Brad Miller and David Ranum, Luther College (as remixed by Jeffrey Elkner) 1. Introduction. 1.1. Objectives. 1.2. Getting Started. 1.3. What Is Computer Science? 1.4. What Is Programming? 1.5. Why Study Data Structures and Abstract Data Types? 1.6. Why Study Algorithms? 1.7. Review of Basic Python. 1.8. Getting Started with Data. 1.8.1.

This blog highlights some popular problem solving techniques for solving coding problems. Learning to apply these strategies could be one of the best milestones in mastering data structure and algorithms and cracking the coding interview.

Find a pair with the given sum in an array ↗ Easy. 2. Check if a subarray with 0 sum exists or not ↗ Medium. 3. Print all subarrays with 0 sum ↗ Medium. 4. Sort binary array in linear time ↗ Easy. 5. Find maximum length subarray having a given sum ↗ Medium. 6. Find the largest subarray having an equal number of 0’s and 1’s ↗ Medium. 7.

In the course below, you’ll learn a number of important data structures and algorithms, which we’re sure will prove useful throughout your career. Just as importantly, you’ll develop a stronger ability to understand, break down and solve novel problems, whether inventing your own techniques or repurposing those which you learn here.