Estás atascado en un desafío de codificación. ¿Cómo puedes superarlo?

Understanding the problem statement is paramount in coding challenges. It's akin to having a clear map before starting a journey. By dissecting the problem into smaller components—inputs, outputs, constraints, and edge cases—you create a framework for your solution. This step is often overlooked in haste to start coding, but it's the foundation upon which successful code is built. Clarifying ambiguities at this stage can prevent significant time loss later due to misunderstandings or incorrect assumptions.

First thing is that understand the problem clearly and read it again and again in smaller chunks so that you can get a clear idea of the problem..

Always read the problem carefully before even thinking about the solution. Sometimes multiple iterations help. Break the problem into multiple parts and then try to find the solution for each part. One you understand what to implement clearly, find the right tools and resources to implement the solution correctly and efficiently. If you are still not clear then ask questions again. It’s fine to look like you don’t understand easily and ask a lot of questions rather than acting smart now and actually not knowing anything.

Second thing is that break down the problem into smaller ones so that you can solve the smaller problems easily instead of solving the big problem in one time. So breaking down the problem in to smaller one is helpful to understand the problem and as well solution

Third thing is that choose the right data structure and right algorithm to solve that problem. Select them to considering the time and space complexity so that you can select them easily..

Employing descriptive and consistent naming conventions for variables, functions, and classes enhances code clarity and comprehension. Augmenting logic and assumptions with well-crafted comments and documentation elucidates code intent and facilitates future understanding. Structuring code with proper indentation and spacing fosters readability and organization. Embracing modular and reusable code principles minimizes redundancy and fosters efficiency. Leveraging debugging tools and techniques aids in identifying and rectifying errors and bugs, while rigorous testing tools and techniques validate code functionality and integrity.

Fourth part is write the clear code and dry run it before run it on machine so that you can understand the flow of the code and manipulate the values on your own..

After writing the code think about optimise that code in terms of time or space if it can be then do it and again review your code which is helpful to understand the solution clearly..