Introduction:
When tackling a programming problem, it’s easy to get caught up in writing code right away, especially when you’re eager to see results. However, the most successful developers understand that first solving the problem conceptually and planning your approach is just as important—if not more so—than writing the code itself.
In this post, we will walk through a common programming problem, demonstrate how to solve it conceptually first, and then show how to translate that solution into code. This approach will not only help you write cleaner, more efficient code but also develop a deeper understanding of the problem-solving process.
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First, solve the problem. Then write the code.
Time Complexity Analysis:
- Time Complexity: O(n), since we loop through all numbers from 1 to
nand check if each number is even. - Space Complexity: O(1), as we only use a single variable to store the sum.
Step 1: Understand the Problem
The first thing you need to do when given a programming task is to read and understand the problem. It’s essential to know:
- What the inputs and outputs are.
- What assumptions you can make.
- What constraints exist (e.g., time, memory, limits).
- If there are any edge cases to consider.