Which is better while loop or for loop?

In general, you should use a for loop when you know how many times the loop should run. If you want the loop to break based on a condition other than the number of times it runs, you should use a while loop.

Are while loops faster than for loops R?

for loops are fast. What you do inside the loop is slow (in comparison to vectorized operations). I would expect a while loop to be slower than a for loop since it needs to test a condition before each iteration. Keep in mind that R is an interpreted language, i.e., there are no compiler optimizations.

Which is faster while or for loop Python?

I think the answer here is a little more subtle than the other answers suggest, though the gist of it is correct: the for loop is faster because more of the operations happen in C and less in Python.

Are while loops faster than for loops Javascript?

While is the winner with an average result of 83.5 milliseconds, while “for” result is 88 average milliseconds. As the diagram bellow shows, the while loop is slightly faster. However we should be aware that these performance gains are significant for large number of iterations!

Which is faster for loop or list comprehension?

List comprehensions are faster than for loops to create lists. But, this is because we are creating a list by appending new elements to it at each iteration. This is slow. The for loop would take minutes to run.

Why is while loop slower than for loop?

The main reason that While is much slower is because the while loop checks the condition after each iteration, so if you are going to write this code, just use a for loop instead.

Why is apply faster than for loop pandas?

The apply() function loops over the DataFrame in a specific axis, i.e., it can either loop over columns(axis=1) or loop over rows(axis=0). apply() is better than iterrows() since it uses C extensions for Python in Cython. We are now in microseconds, making out loop faster by ~1900 times the naive loop in time.

Which is faster loop in Python?

An implied loop in map() is faster than an explicit for loop; a while loop with an explicit loop counter is even slower. Avoid calling functions written in Python in your inner loop. This includes lambdas. In-lining the inner loop can save a lot of time.