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How to check if two arrays are equal with JavaScript? [duplicate]
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enyoenyo
14.2k77 gold badges4444 silver badges6565 bronze badges
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A simple explanation of Naive Bayes Classification
...xplain it with a simple step by step process in English. I understand it takes comparisons by times occurred as a probability, but I have no idea how the training data is related to the actual dataset.
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How to efficiently concatenate strings in go
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New Way:
From Go 1.10 there is a strings.Builder type, please take a look at this answer for more detail.
Old Way:
Use the bytes package. It has a Buffer type which implements io.Writer.
package main
import (
"bytes"
"fmt"
)
func main() {
var buffer bytes.Buffer
for...
Gradient borders
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WebKit now (and Chrome 12 at least) supports gradients as border image:
-webkit-border-image: -webkit-gradient(linear, left top, left bottom, from(#00abeb), to(#fff), color-stop(0.5, #fff), color-stop(0.5, #66cc00)) 21 30 30 21...
Deleting lines from one file which are in another file
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grep -v -x -f f2 f1 should do the trick.
Explanation:
-v to select non-matching lines
-x to match whole lines only
-f f2 to get patterns from f2
One can instead use grep -F or fgrep to match fixed strings from f2 rather than patterns (in case you want remove...
How do I convert a numpy array to (and display) an image?
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Dan H
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answered Apr 17 '10 at 17:46
unutbuunutbu
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Concatenating two one-dimensional NumPy arrays
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Winston EwertWinston Ewert
39.1k1010 gold badges6262 silver badges7878 bronze badges
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Calculating moving average
...lt-in function in R will allow me to calculate moving averages. Do any packages provide one? Or do I need to write my own?
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List of lists changes reflected across sublists unexpectedly
...: [[42, 1, 1, 1], [42, 1, 1, 1], [42, 1, 1, 1]]
To fix it, you need to make sure that you create a new list at each position. One way to do it is
[[1]*4 for _ in range(3)]
which will reevaluate [1]*4 each time instead of evaluating it once and making 3 references to 1 list.
You might wonder ...
Random row selection in Pandas dataframe
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Something like this?
import random
def some(x, n):
return x.ix[random.sample(x.index, n)]
Note: As of Pandas v0.20.0, ix has been deprecated in favour of loc for label based indexing.
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