faser | Faser is a self-hosted , cached favicon server that returns | Frontend Framework library
kandi X-RAY | faser Summary
kandi X-RAY | faser Summary
Faser (favicon server) is a self-hosted, cached favicon server that returns an image for a domain or URL.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of faser
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QUESTION
I'm trying to make a python function as fast as I can. Let's suppose I have a prime list and I'm calling primes[i]
n times for the same i
.
I've the intuition that from a certain value of n, it becomes faser to keep the value of primes[i]
in a variable.
I made some tries by comparing the two following implementations, and I can't figure out which one is the fastest. It looks like time access to primes[i]
depends on a lot of factor.
1st implementation
...ANSWER
Answered 2020-Dec-22 at 16:26Accessing primes[i]
is done in constant time, O(1)
. What that means is that the time needed to read primes[i]
does not increase as the primes
becomes bigger and that it does not increase when i
becomes bigger.
In layman's terms: it's damn fast!
Then again, accessing a local variable p
is still faster than accessing primes[i]
, because the latter has to look up and call the __getitem__
implementation of the primes
object. Therefore caching a value in a local variable instead of looking up a list twice is marginally faster.
On the other hand, caring about marginal speed improvements is meaningless compared to reducing algorithm complexity. For the problem of finding prime numbers, you should focus on finding a smart algorithm rather than on improving built-in-list access times.
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