Why Do Companies Ask DSA Questions in Python Interviews?

 





Asking DSA questions in Python interviews has emerged as a new trend in the software development industry. There is nothing strange about it if the job does require DSA. But in some cases, it has been seen that even non-DSA job profiles include DSA interviews. 


However, there are many reasons why companies ask DSA questions, even if the job role doesn't really require DSA skills. So, let's understand these reasons and the most asked DSA questions in non-DSA job interviews. 


Four Reasons Why Companies Ask DSA Questions in Python Interviews?


  1. To test the problem-solving skills


DSA problems are considered some of the most common challenging problems in computer science. So, if candidates can solve these problems, they will go through any programming problem, whether related to DSA or not. Moreover, DSA questions also help evaluate a person's core knowledge about programming. Since the concepts of DSA are embedded in the core of computer science, asking Python DSA questions leaves no need to ask any other programming-related questions. 


  1. To test analytical thinking and logical reasoning


Algorithms, which are a part of Python DSA and require a deep understanding of logical reasoning. Not only in programming and software development but also in most fields, logical reasoning is needed to solve problems more efficiently. However, in computer science, logical reasoning has its own significance and is a direct requirement when choosing a candidate for a programming job. While creating algorithms, logic helps to select the most efficient design for the algorithm. 


In addition, analytical thinking is also essential in Python programming to come up with accurate calculations. Overall, these skills help create programs that work best in even worst-case scenarios of time and space complexity. 


  1. To evaluate the ability to work as a team


The DSA Python projects are often developed by a large team where everybody works on different parts of a software project. So, in such cases, it becomes very important that everybody in a team that is aware of the best steps to take in the development process. To test such skills, you are primarily put in situational questions, where you get a particular situation and a problem to solve. You should devise the solution that best suits your situation. 


  1. To know if you can learn new things


Not only the DSA Python but the whole software development industry requires candidates who can continuously adapt to new technologies and keep learning new things. It is essential as the technology we use today differs from ten years ago. But most probably, there are still many professionals who used to work as software developers back in 2010 and are still working in 2023. So, if you cannot learn new technologies and industry trends, it is a loss to you for yourself. 


DSA Python questions help to test the same, as DSA is very random and can easily be tested if you can learn anything new. 


Is DSA in Python important for all programming jobs?


A quick and simple answer is no; you may not need to learn DSA to get an entry-level programming job. Tech startups and small tech companies don't require DSA as a skill in your resume. 


The reason is that DSA-equipped software solutions are costlier, and these companies mainly don't target that market. So, you can easily get into an entry-level job without learning DSA in Python. 


However, the actual question is how long you can survive in the software development industry without learning DSA. You may keep working for your lifetime without knowing DSA in the software development industry. 

But when it comes to your personal development as a software developer, your graph may not look like a progressive one. DSA in Python can help you to get promoted or switch to a high-paying job easily. 


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