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Format number to always show 2 decimal places
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@Kooilnc: OP wants 1 to display as 1.00, and 1.341 to display as 1.34.
– drudge
May 26 '11 at 16:59
54
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Failed to locate the winutils binary in the hadoop binary path
.... I didn't find winutils exe file in hadoop bin folder. I tried below commands
15 Answers
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Is it possible to register a http+domain-based URL Scheme for iPhone apps, like YouTube and Maps?
...://martijnthe.nl ) with my app whenever the app is installed on the phone, and with Mobile Safari in case it is not.
13 Ans...
How can I reconcile detached HEAD with master/origin?
...new at the branching complexities of Git. I always work on a single branch and commit changes and then periodically push to my remote origin.
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Play audio with Python
... @theonlygusti See here, for example.
– Anderson Green
Dec 4 '17 at 19:35
add a ...
Types in MySQL: BigInt(20) vs Int(20)
I was wondering what the difference between BigInt , MediumInt , and Int are... it would seem obvious that they would allow for larger numbers; however, I can make an Int(20) or a BigInt(20) and that would make seem that it is not necessarily about size.
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How to vertically center a div for all browsers?
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Below is the best all-around solution I could build to vertically and horizontally center a fixed-width, flexible height content box. It was tested and working for recent versions of Firefox, Opera, Chrome, and Safari.
.outer {
display: table;
position: absolute;
top: 0;
le...
How do I add a path to PYTHONPATH in virtualenv
... you can also navigate to your virtual environment's site-packages folder and create a symbolic link to the .pth file like this: ln -s path/to/somfile.pth. I found this useful when I needed the same directory to be accessible in multiple virtual environments
– Data-phile
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How to compare strings in Bash
How do I compare a variable to a string (and do something if they match)?
10 Answers
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Python - Create list with numbers between 2 values?
...nting by 0.5, the easiest option would probably be to use numpy's arange() and .tolist():
>>> import numpy as np
>>> np.arange(11, 17, 0.5).tolist()
[11.0, 11.5, 12.0, 12.5, 13.0, 13.5,
14.0, 14.5, 15.0, 15.5, 16.0, 16.5]
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