Table of Contents

## Do while loops affect time complexity?

Loop 2 runs a constant number of times (exactly once) every loop 1 iteration and does not affect the time complexity.

**What is the complexity of for loop?**

The loop executes N times, so the sequence of statements also executes N times. Since we assume the statements are O(1), the total time for the for loop is N * O(1), which is O(N) overall. The outer loop executes N times. Every time the outer loop executes, the inner loop executes M times.

**How can we reduce the complexity of nested loops?**

A first straight forward approach would be like this:

- Create an array holding 60 entries with the remainder of seconds` initialized to all zeroes.
- Calculate the remainder of each song and increment the related entry in the array.
- Iterate over all possible remainders (1..29)

### Which loop has less time complexity?

Infinite loop is executed “Infinite times”. Therefore, there is no “algorithm time complexity” for an infinite loop.

**What is the complexity of nested for loops?**

The time complexity of nested loops is equal to the number of times the innermost statement is executed. In the above nested-loop example, the inner loop is running n times for every iteration of the outer loop.

**How can code complexity be reduced?**

Reducing Cyclomatic Complexity

- Use small methods. Try reusing code wherever possible and create smaller methods which accomplish specific tasks.
- Reduce if/else statements. Most often, we don’t need an else statement, as we can just use return inside the ‘if’ statement.

## How does Python reduce complexity of code?

You can easily omit declaration of perfect squares, count and total_length, as they aren’t needed, as explained further. This will reduce both Time and Space complexities of your code. Also, you can use Fast IO, in order to speed up INPUTS and OUTPUTS This is done by using ‘stdin. readline’, and ‘stdout.

**How do you write complexity of an algorithm?**

The time complexity of an algorithm is commonly expressed using big O notation, which excludes coefficients and lower order terms. When expressed this way, the time complexity is said to be described asymptotically, i.e., as the input size goes to infinity.

**How do you calculate the complexity of a for loop?**

I understand that the first for loop runs n times, the second runs n^2 times, and the third runs n^2 times for a certain amount of times when triggered. So the complexity would be given by n*n^2 (xn^2) for which n is the number of times the if statement is true.

### What is the overall complexity of the if-statement?

The overall complexity is O (n^4). The complexity is not simply O (n^6) because the if-statement is not true n times right? No, it is not. At worst, it is going to be O (n^5). It is less than that since j \% i is equal to 0 only i times.

**Why should you use comments in your code?**

Using comments throughout your code can help other developers in situations like this one. Comments help other devs skim through your code and gain an understanding of how it all works very quickly. You can help ensure a smooth transition by choosing to comment your code from the outset of a project.

**Do comments have an effect on performance?**

If so, does that mean that comments have an affect on performance… A very, very, very minimal one, on the initial parsing stage. But comments are very easy to scan past, nothing to worry about. If you’re really worried about it, though, you can minify your script with tools like jsmin or the Closure Compiler (even with just simple optimizations).

https://www.youtube.com/watch?v=1ThfyP1jszM