How fast can a computer loop?

MAX_VALUE is 2 billion times 4 billion, that loop will take around 4 billion seconds, or something over 120 years. There’s no point in starting that loop today. Wait until computers get faster, and then it will be done sooner.

What is the fastest loop?

The fastest loop is a for loop, both with and without caching length delivering really similar performance.

Are for loops slow?

The only Answer to the Question posed is; loops are not slow if what you need to do is iterate over a set of data performing some function and that function or the operation is not vectorized. A for() loop will be as quick, in general, as apply() , but possibly a little bit slower than an lapply() call.

How many calculations per second does a computer do?

The supercomputer — which fills a server room the size of two tennis courts — can spit out answers to 200 quadrillion (or 200 with 15 zeros) calculations per second, or 200 petaflops, according to Oak Ridge National Laboratory, where the supercomputer resides.

How do you speed up a Python loop?

Here are some tips to speed up your python programme.

1. Use proper data structure. Use of proper data structure has a significant effect on runtime.
2. Decrease the use of for loop.
3. Use list comprehension.
4. Use multiple assignments.
5. Do not use global variables.
6. Use library function.
7. Concatenate strings with join.
8. Use generators.

Which loop is faster 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.

Which is faster loop or recursion?

No, recursion isn’t faster than loops, because loops have built-in support in CPUs, whereas recursion is implemented using the generally slower function call / return mechanism.

Why is looping bad in R?

Loops are slower in R than in C++ because R is an interpreted language (not compiled), even if now there is just-in-time (JIT) compilation in R (>= 3.4) that makes R loops faster (yet, still not as fast). Then, R loops are not that bad if you don’t use too many iterations (let’s say not more than 100,000 iterations).

How slow are for loops R?

The for-loop in R, can be very slow in its raw un-optimised form, especially when dealing with larger data sets. There are a number of ways you can make your logics run fast, but you will be really surprised how fast you can actually go.