Do you need to be good at competitive programming?
TL;DR – You don’t need to learn competitive coding to succeed in life. You need to learn something you like so much that you master it, and you’re unbeatable in your field. That’s all.
Do you need to be good at coding for computer science?
Yes, you can. If you are more interested in beginning a career in tech quickly, then you don’t necessarily need a degree in coding. Coding bootcamps can get you the skills you need, in a much more affordable and time efficient way, to start your career in coding.
What skills are required for competitive programming?
In competitive programming, coders solve coding problems using algorithms and data structures. Skills required for CP are basic math, algorithm, programming and typing speed. It’s a myth that it’s too late to start CP. The fact is, there is no fixed age to join CP.
Is Python not good for competitive programming?
Python is one of the most widely used scripting/ programming languages. So no doubt, you can use Python to practice competitive programming.
Why is competitive coding bad?
Addiction: As with any other hobby, competitive programming can get addictive and this isn’t necessarily a dark side, as long as doing competitive programming does not affect other important things such as scoring a good CGPA, or devoting time for other things such as your job.
What is the highest paying Computer Science job?
Software Development Director. Average annual salary: 143,000 USD.
Is C++ better than python for competitive programming?
Clearly, Python is a winner here, but in designing Algorithms, C/C++ is the Master, because of its speed when tested against a variety of cases, so does in competitive programming.
Is competitive programming needed to be a good computer scientist/software engineer?
Overall, competitive programming is not needed to be a good computer scientist or software engineer, but it definitely can help. It all depends on what you want to learn and what other choices you have for learning and improving your skills. Thanks for contributing an answer to Academia Stack Exchange!
Is it worth pursuing competitive programming in data science?
Data science, in other hand, is also solving problems, but it doesn’t involve algorithms implementation to it. Therefore, it’s a different field. It still worth pursuing competitive programming if you want to solve a new data science problem that don’t have any implementation of given ML algorithm.
Why is competitive programming so challenging?
Competitive programming has become a popular competition on computer science community until now. For me, competitive programming is challenging because you have to solve the problem and solve it using algorithms that exist or implementing your own algorithm.
Do I need to study DSA in depth to learn computer science?
And if you are learning to program, you don’t need a very very deep understanding of that too. DSA in depth is required when you want to learn computer science, not programming. Understand the difference, computer science is the theory – programming is practical. Be aware of things that exist, algorithms that exist, and data structures that exist.