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Is “argv[0] = name-of-executable” an accepted standard or just a common convention?
When passing argument to main() in a C or C++ application, will argv[0] always be the name of the executable? Or is this just a common convention and not guaranteed to be true 100% of the time?
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How do I catch a numpy warning like it's an exception (not just for testing)?
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205
It seems that your configuration is using the print option for numpy.seterr:
>>> impo...
Easy pretty printing of floats in python?
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102
As noone has added it, it should be noted that going forward from Python 2.6+ the recommended w...
Case preserving substitute in Vim
...toMark Lodato
37.4k55 gold badges3737 silver badges3030 bronze badges
16
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How to create custom easing function with Core Animation?
...tric.h:
// this should be a function that takes a time value between
// 0.0 and 1.0 (where 0.0 is the beginning of the animation
// and 1.0 is the end) and returns a scale factor where 0.0
// would produce the starting value and 1.0 would produce the
// ending value
typedef double (^KeyframePa...
Why is GHC so large/big?
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edited Feb 1 '11 at 20:04
answered Feb 1 '11 at 19:48
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The name 'model' does not exist in current context in MVC3
...toryType="System.Web.Mvc.MvcWebRazorHostFactory, System.Web.Mvc, Version=3.0.0.0, Culture=neutral, PublicKeyToken=31BF3856AD364E35" />
<pages pageBaseType="System.Web.Mvc.WebViewPage">
<namespaces>
<add namespace="System.Web.Mvc" />
<add namespace="S...
Get path of executable
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edited Nov 20 '17 at 6:57
James Mart
42033 silver badges1313 bronze badges
answered Oct 6 ...
Programmatically create a UIView with color gradient
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702
Objective-C:
UIView *view = [[UIView alloc] initWithFrame:CGRectMake(0, 0, 320, 50)];
CAGradie...
How to get different colored lines for different plots in a single figure?
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E.g.:
import matplotlib.pyplot as plt
import numpy as np
x = np.arange(10)
plt.plot(x, x)
plt.plot(x, 2 * x)
plt.plot(x, 3 * x)
plt.plot(x, 4 * x)
plt.show()
And, as you may already know, you can easily add a legend:
import matplotlib.pyplot as plt
import numpy as np
x = np.arange(10)
plt...