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Compare two DataFrames and output their differences side-by-side
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edited Jul 2 at 7:27
cs95
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answered Jun 13 '13 at 20:41
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How to echo with different colors in the Windows command line
...t;[93m [93mYellow[0m
echo ^<ESC^>[94m [94mBlue[0m
echo ^<ESC^>[95m [95mMagenta[0m
echo ^<ESC^>[96m [96mCyan[0m
echo ^<ESC^>[97m [97mWhite[0m
echo.
echo [101;93m STRONG BACKGROUND COLORS [0m
echo ^<ESC^>[100m [100mBlack[0m
echo ^<ESC^>[101m [101mRed[0m
echo ^<ES...
What is the difference between C, C99, ANSI C and GNU C?
...language, through the standard ISO 9899.
A minor update was released in 1995, sometimes referred to as "C95". This was not a major revision, but rather a technical amendment formally named ISO/IEC 9899:1990/Amd.1:1995. The main change was introduction of wide character support.
In 1999, the C stan...
List comprehension rebinds names even after scope of comprehension. Is this right?
...5, 86: 86, 87: 87, 88: 88, 89: 89, 90: 90, 91: 91, 92: 92, 93: 93, 94: 94, 95: 95, 96: 96, 97: 97, 98: 98, 99: 99}
>>> x
9
However it has been fixed in 3 as noted above.
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MySQL vs MongoDB 1000 reads
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mongo insert: 1013ms
mongo select: 677ms
10.000 rows
mysql insert: 924695ms (15.41 minutes)
mysql select: 144ms
mongo insert: 9956ms (9.95 seconds)
mongo select: 4539ms (4.539 seconds)
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Is Fortran easier to optimize than C for heavy calculations?
...dard (2008) has co-arrays which allows you to easily write parallel code. G95 (open source) and compilers from CRAY already support it.
So yes Fortran can be fast simply because compilers can optimize/parallelize it better than C/C++. But again like everything else in life there are good compilers...
Does ruby have real multithreading?
... 31T 0:00.04 0:21.92
38293 100.0 R 31T 0:00.04 0:21.95
38293 100.0 R 31T 0:00.04 0:21.99
Once again, the same program but now with the good old MRI. Due to the fact that this implementation uses green-threads, only one thread shows up
(jalcazar@mac ~)$ ...
How can I make a UITextField move up when the keyboard is present - on starting to edit?
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How does the Java 'for each' loop work?
...: 278,694,271 nanoseconds
B faster by 98,767,552 nanoseconds (25.666236154695838% faster)
[C:\java_code\]java TimeIteratorVsIndexIntArray 1000000
Test A: 288,953,495 nanoseconds
Test B: 207,050,523 nanoseconds
B faster by 81,902,972 nanoseconds (27.844689860906513% faster)
[C:\java_code\]java Time...
Rename specific column(s) in pandas
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EdChumEdChum
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