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How to make blinking/flashing text with CSS 3

... 10 Answers 10 Active ...
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Can't find @Nullable inside javax.annotation.*

...roupId>com.google.code.findbugs</groupId> <artifactId>jsr305</artifactId> <version>3.0.2</version> </dependency> and for Gradle: dependencies { testImplementation 'com.google.code.findbugs:jsr305:3.0.2' } ...
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How to break nested loops in JavaScript? [duplicate]

...o break to a label, like so: function foo () { dance: for(var k = 0; k < 4; k++){ for(var m = 0; m < 4; m++){ if(m == 2){ break dance; } } } } share...
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What does the WPF star do (Width=“100*”)

..., Width="*" or Height="*" means proportional sizing. For example: to give 30% to column 1 and 70% to column 2 - <ColumnDefinition Width="3*" /> <ColumnDefinition Width="7*" /> And likewise for rows - <RowDefinition Height="3*" /> <RowDefinition Height="7*" /> The numb...
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In Matlab, when is it optimal to use bsxfun?

... +500 There are three reasons I use bsxfun (documentation, blog link) bsxfun is faster than repmat (see below) bsxfun requires less typin...
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Height equal to dynamic width (CSS fluid layout) [duplicate]

... | edited Dec 5 '14 at 16:05 chridam 82.4k1818 gold badges159159 silver badges185185 bronze badges answe...
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What's the difference between array_merge and array + array?

... | edited Feb 13 at 18:06 Joe DF 4,54466 gold badges3434 silver badges5353 bronze badges answered Mar...
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Moving average or running mean

... works great. mylist = [1, 2, 3, 4, 5, 6, 7] N = 3 cumsum, moving_aves = [0], [] for i, x in enumerate(mylist, 1): cumsum.append(cumsum[i-1] + x) if i>=N: moving_ave = (cumsum[i] - cumsum[i-N])/N #can do stuff with moving_ave here moving_aves.append(moving_ave) ...
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How to get numbers after decimal point?

... answered Mar 5 '12 at 5:02 lllluuukkelllluuukke 1,11011 gold badge1111 silver badges1616 bronze badges ...
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Create Pandas DataFrame from a string

...that to the pandas.read_csv function. E.g: import sys if sys.version_info[0] < 3: from StringIO import StringIO else: from io import StringIO import pandas as pd TESTDATA = StringIO("""col1;col2;col3 1;4.4;99 2;4.5;200 3;4.7;65 4;3.2;140 """) df = pd.read_csv(TEST...