Python Sets vs Lists
In Python, which data structure is more efficient/speedy? Assuming that order is not important to me and I would be checking for duplicates anyway, is a Python set slower than a Python list?
performance
A faster strptime?
I have code which reads vast numbers of dates in ‘YYYY-MM-DD’ format. Parsing all these dates, so that it can add one, two, or three days then write back in the same format is slowing things down quite considerably.
What is the most efficient way of finding all the factors of a number in Python?
Can someone explain to me an efficient way of finding all the factors of a number in Python (2.7)?
numpy: most efficient frequency counts for unique values in an array
In numpy / scipy, is there an efficient way to get frequency counts for unique values in an array?
Replace values in list using Python
what if I had a generator that yields
the values from range(11) instead of a
list. Would it be possible to replace
values in the generator?
Performance of Pandas apply vs np.vectorize to create new column from existing columns
I am using Pandas dataframes and want to create a new column as a function of existing columns. I have not seen a good discussion of the speed difference between df.apply() and np.vectorize(), so I thought I would ask here.
Are tuples more efficient than lists in Python?
Is there any performance difference between tuples and lists when it comes to instantiation and retrieval of elements?
Get the second largest number in a list in linear time
I’m learning Python and the simple ways to handle lists is presented as an advantage. Sometimes it is, but look at this:
Pandas: peculiar performance drop for inplace rename after dropna
I have reported this as an issue on pandas issues.
In the meanwhile I post this here hoping to save others time, in case they encounter similar issues.
What is the best way to generate all possible three letter strings?
I am generating all possible three letters keywords e.g. aaa, aab, aac.... zzy, zzz below is my code: