A Deep Dive into Competitive Programming vs Interview Preparation

Aspiring Software Engineers often work on improving their programming skills through two primary methods, Competitive Programming (CP) & Interview Prep (IP). While both techniques have similarity when it comes to problem-solving and algorithms, they have separate objectives, and therefore use different approaches to teach you how to solve problems using both methods; most learners believe that if they excel in one method, they will also excel in the other; however, this is not true.

Although the two methods share some similarities, their objectives are altogether different from one another. 

Introduction to Competitive Programming

Competitive programming refers to the competitive environment in which participants have to solve a given/ prescribed algorithmic problem (or problems) in a limited amount of time (generally minutes). Events like coding contests/programming competitions allow participants to create sustained optimal solutions to algorithmic problems in a relatively short period.

In competitive programming, participants are interested in achieving maximum performance in a competitive environment. During the solving process, participants encounter multiple complex mathematical problems, algorithmic problems and numerous optimization opportunities while trying to find a solution to the algorithmic problems presented to them.

Participants in competitive programming are exposed to learning many different types of difficult types of disciplines, such as number theory, segment trees, Fenwick trees, string algorithms, computational geometry, etc.

What is the purpose of interview preparation?

Interview preparation is focused on developing the technical knowledge and experience necessary to be successful at each step of a technical hiring process. When taking the interview, you will not only have to solve a predetermined problem, but will also be expected to demonstrate your ability to problem solve, communicate, and the quality of your code as well as to demonstrate your thought processes as an engineer.

Some of the important areas of focus in a technical interview include Data Structures and Algorithm basics, like Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Hash Tables, Recursion, and Dynamic Programming. In addition to solving coding exercises, the candidate will be asked about system design principles, behavioral skills, debugging techniques, and other areas of software engineering.

Interviews also have a different set of expectations when compared to programming contests, mainly that code must be produced clearly and that it must be produced with a high level of cooperation.

Differences

1. Aim

Comp. Programming is about speed and correctness of its participants whereas Interview Preparation aims to show if a candidate possesses the skills to become a deployable Software Engineer.

2. Problem Grade

Comp. Programming will contain problems that usually require some advanced knowledge (e.g. Algebra, Trig, etc.). Whereas interview questions will generally ask about the functional application of DSA and Software Development practices.

3. Communication Method

There is no type of communication while competing because all submissions to judgement are automatic. On the other hand, during the interview process, verbal communication is heavily used to communicate your reasoning behind various decisions.

4. Code Quality

Comp. Programmers try to code their solutions quickly and be efficient in the implementation thereof. While Interviewers will want you to produce clean and maintainable code.

5. Time Constraints

Comp. Programming has multiple problems that need to be solved in a relatively short window but Interviewing has 1 to 2 problems that need to be solved with greater insight than in Comp. Programming.

Benefits of Competitive Programming

There are numerous benefits of participating in competitive programming:

Advancement of strong algorithmic capabilities.

Development of efficient coding styles.

Advancement of problem-solving strategies.

Development of advanced algorithm knowledge.

Increased skill and confidence in competition.

All of these skills provide a strong foundation for computer science graduate students to effectively prepare for technical interviews with challenging algorithmic questions.

Benefits of Interview Preparation

The skills gained through interview preparation can easily transfer to the hiring process:

Foundational understanding of Algorithmic/DSA concepts.

Effective communication and explanation skills.

Ability to produce clean code; Software Engineering abilities.

Interview techniques for system design.

Ability to align the Skills required in the job qualifications with the Practical Skills required for a specific role.

All of these skills are needed in the current hiring process.

Which Route to Follow?

Choosing between competitive programming and interview preparation is a matter of personal goals. People who enjoy solving algorithm problems, competing against other people in contests, and solving complex and challenging problems will find that competitive programming provides excellent personal satisfaction. People whose primary goal is to secure a job as a software engineer would benefit from a focus on interview preparation.

A student should try to combine the benefits of both routes, as the skills developed through competitive programming, such as analytical abilities, will improve their performance during a typical technical job interview with respect to problem-solving.

Final Thoughts

Although there are many similarities between competitive programming and interview preparation, in that both require a fundamental understanding of algorithms and problem-solving approaches, the two activities are different because competitive programming focuses on speed, the use of complex algorithms, and the performance of their participants during a contest, whereas interview preparation focuses on communicating and problem solving in a professional setting.