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Couldn't register with the bootstrap Server
... answered May 30 '11 at 21:09
Pål BrattbergPål Brattberg
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Calculate distance between two latitude-longitude points? (Haversine formula)
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@Forte_201092: Because that is not necessary - as (sin(x))² equals (sin(-x))²
– Jean Hominal
May 30 '14 at 9:16
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Selecting/excluding sets of columns in pandas [duplicate]
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It seems that the drop method is slightly faster (~515 µs vs ~680 µs), at least in some tests on a 15611 rows x 5 columns dataframe of which I wanted to drop 3 columns, in python 3.6 and pandas 0.20.3.
– bli
Nov 8 '17 at 17:12
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Vim: faster way to select blocks of text in visual mode
... answered Sep 13 '11 at 18:55
µBioµBio
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How to implement classic sorting algorithms in modern C++?
...on sort does not adapt to the data in any way, so its runtime is always O(N²). However, selection sort has the property of minimizing the number of swaps. In applications where the cost of swapping items is high, selection sort very well may be the algorithm of choice.
To implement it using the St...
MySQL vs MongoDB 1000 reads
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1000000 872.709µs
SELECT & DISPLAY
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num of rows time taken
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1000000 20.717354746s
UPDAT...
Is MATLAB OOP slow or am I doing something wrong?
...ng each operation 100000 times
style total µsec per call
nop() function: 0.01578 0.16
nop(), 10x loop unroll: 0.01477 0.15
nop(), 100x loop unroll: 0.01518 0.15
nop() subfunction: 0.01559 0.16
@()[] anon...
Sorting arrays in NumPy by column
... per loop
%timeit table[table[:,9].argsort()]
10000 loops, best of 3: 180 µs per loop
import pandas as pd
df = pd.DataFrame(table)
%timeit df.sort_values(9, ascending=True)
1000 loops, best of 3: 400 µs per loop
So, it looks like indexing with argsort is the quickest method so far...
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What are the downsides to using Dependency Injection? [closed]
... answered Mar 9 '10 at 8:34
Håvard SHåvard S
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