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clearing a char array c
... to view this as a C/C++ null terminated string, setting the first byte to 0 will effectively clear the string.
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Java - get pixel array from image
...ation I was able to reduce the time of processing the pixels by more than 90% by just switching from the first approach to the second!
Here is a comparison I've setup to compare the two approaches:
import java.awt.image.BufferedImage;
import java.awt.image.DataBufferByte;
import java.io.IOExceptio...
What optimizations can GHC be expected to perform reliably?
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+150
This GHC Trac page also explains the passes fairly well. This page explains the optimization ordering, though, like the majority of th...
How to split a column into two columns?
...er way, but this here's one approach:
row
0 00000 UNITED STATES
1 01000 ALABAMA
2 01001 Autauga County, AL
3 01003 Baldwin County, AL
4 01005 Barbour County, AL
df = pd.DataFrame(df.row.str.split(' ',1).tolist(),
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Convert character to ASCII code in JavaScript
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Animation CSS3: display + opacity
...:hover .child
{
display: block;
-webkit-animation: fadeInFromNone 0.5s ease-out;
-moz-animation: fadeInFromNone 0.5s ease-out;
-o-animation: fadeInFromNone 0.5s ease-out;
animation: fadeInFromNone 0.5s ease-out;
}
@-webkit-keyframes fadeInFromNone {
0% {
display: no...
Why does this assert throw a format exception when comparing structures?
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100
I've got it. And yes, it's a bug.
The problem is that there are two levels of string.Format go...
What do hjust and vjust do when making a plot using ggplot?
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The value of hjust and vjust are only defined between 0 and 1:
0 means left-justified
1 means right-justified
Source: ggplot2, Hadley Wickham, page 196
(Yes, I know that in most cases you can use it beyond this range, but don't expect it to behave in any specific way. This...
Finding duplicates in O(n) time and O(1) space
Input: Given an array of n elements which contains elements from 0 to n-1, with any of these numbers appearing any number of times.
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Pandas - How to flatten a hierarchical index in columns
...et the columns to the top level:
df.columns = df.columns.get_level_values(0)
Note: if the to level has a name you can also access it by this, rather than 0.
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If you want to combine/join your MultiIndex into one Index (assuming you have just string entries in your columns) you could:
df.column...