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Is there a better way to iterate over two lists, getting one element from each list for each iterati
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This is as pythonic as you can get:
for lat, long in zip(Latitudes, Longitudes):
print lat, long
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How to convert list of tuples to multiple lists?
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The built-in function zip() will almost do what you want:
>>> zip(*[(1, 2), (3, 4), (5, 6)])
[(1, 3, 5), (2, 4, 6)]
The only difference is that you get tuples instead of lists. You can convert them to lists using
map(list, zip(*[(1, 2), (3, 4), (5, 6)]))
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How to Flatten a Multidimensional Array?
Is it possible, in PHP, to flatten a (bi/multi)dimensional array without using recursion or references?
29 Answers
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Python: print a generator expression?
In the Python shell, if I enter a list comprehension such as:
5 Answers
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Fastest way to list all primes below N
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Warning: timeit results may vary due to differences in hardware or
version of Python.
Below is a script which compares a number of implementations:
ambi_sieve_plain,
rwh_primes,
rwh_primes1,
rwh_primes2,
sieveOfAtkin,
sieveOfEratosthenes,
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Why Choose Struct Over Class?
Playing around with Swift, coming from a Java background, why would you want to choose a Struct instead of a Class? Seems like they are the same thing, with a Struct offering less functionality. Why choose it then?
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Why doesn't Dijkstra's algorithm work for negative weight edges?
Can somebody tell me why Dijkstra's algorithm for single source shortest path assumes that the edges must be non-negative.
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Comparing two dictionaries and checking how many (key, value) pairs are equal
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If you want to know how many values match in both the dictionaries, you should have said that :)
Maybe something like this:
shared_items = {k: x[k] for k in x if k in y and x[k] == y[k]}
print len(shared_items)
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Understand convertRect:toView:, convertRect:FromView:, convertPoint:toView: and convertPoint:fromVie
I'm trying to understand the functionalities of these methods. Could you provide me a simple usecase to understand theirs semantics?
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what is the difference between 'transform' and 'fit_transform' in sklearn
In the sklearn-python toolbox, there are two functions transform and fit_transform about sklearn.decomposition.RandomizedPCA . The description of two functions are as follows
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