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Python: fastest way to create a list of n lists
... is about 15 % faster on my machine.
Edit: Using NumPy, you can avoid the Python loop using
d = numpy.empty((n, 0)).tolist()
but this is actually 2.5 times slower than the list comprehension.
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Viewing all defined variables [duplicate]
I'm currently working on a computation in python shell. What I want to have is Matlab style listout where you can see all the variables that have been defined up to a point (so I know which names I've used, their values and such).
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关于php的socket初探 - 更多技术 - 清泛网 - 专注C/C++及内核技术
...角度来看，这样的理解更合适，
socket起源于Unix，而Unix/Linux基本哲学之一就是“一切皆文件”，都可以用“打开open –> 读写write/read –> 关闭close”模式来操作。我的理解就是Socket就是该模式的一个实现，socket即是一种特...
How do I find the duplicates in a list and create another list with them?
How can I find the duplicates in a Python list and create another list of the duplicates? The list only contains integers.
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Filtering a list of strings based on contents
... 'ab' in them. I.e. the result is ['ab','abc'] . How can this be done in Python?
5 Answers
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Cosine Similarity between 2 Number Lists
...th vectors (more of a matrix transpose, actually) just to get the data in "Pythonic" order. It would be interesting to time the nuts-and-bolts implementation:
import math
def cosine_similarity(v1,v2):
"compute cosine similarity of v1 to v2: (v1 dot v2)/{||v1||*||v2||)"
sumxx, sumxy, sumyy ...
Get column index from column name in python pandas
In R when you need to retrieve a column index based on the name of the column you could do
7 Answers
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Is it possible to use “/” in a filename?
...e slash character that normally separates directories within a filename in Linux?
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How do I get a list of all the duplicate items using pandas in python?
I have a list of items that likely has some export issues. I would like to get a list of the duplicate items so I can manually compare them. When I try to use pandas duplicated method , it only returns the first duplicate. Is there a a way to get all of the duplicates and not just the first one?...
Python Pandas Error tokenizing data
I'm trying to use pandas to manipulate a .csv file but I get this error:
39 Answers
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