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How can I generate Unix timestamps?

... In Linux or MacOS you can use: date +%s where +%s, seconds since 1970-01-01 00:00:00 UTC. (GNU Coreutils 8.24 Date manual) Example output now 1454000043. share | improve this answer ...
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PhoneGap: Detect if running on desktop browser

...ur solution! – Mario May 21 '13 at 10:33 ...
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Sublime 3 - Set Key map for function Goto Definition

... MattDMo 86.1k1818 gold badges204204 silver badges203203 bronze badges answered Jun 11 '13 at 14:38 Boris BrdarićBoris Brdarić ...
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How to run Gulp tasks sequentially one after the other

... It's not an official release yet, but the coming up Gulp 4.0 lets you easily do synchronous tasks with gulp.series. You can simply do it like this: gulp.task('develop', gulp.series('clean', 'coffee')) I found a good blog post introducing how to upgrade and make a use of those neat...
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Making the Android emulator run faster

... Official web page ~50% faster Windows: Install "Intel x86 Emulator Accelerator (HAXM)" => SDK-Manager/Extras Install "Intel x86 Atom System Images" => SDK-Manager/Android 2.3.3 Go to the Android SDK root folder and navigate to extras\in...
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Remove an onclick listener

... 430 mTitleView.setOnClickListener(null) should do the trick. A better design might be to do a check...
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How do I define and use an ENUM in Objective-C?

... 109 Your typedef needs to be in the header file (or some other file that's #imported into your head...
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ViewPager and fragments — what's the right way to store fragment's state?

... 10 Answers 10 Active ...
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What is difference between functional and imperative programming languages?

...xample, a program can be created to add a series of numbers: int total = 0; int number1 = 5; int number2 = 10; int number3 = 15; total = number1 + number2 + number3; Each statement changes the state of the program, from assigning values to each variable to the final addition of those values...
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How to iterate over rows in a DataFrame in Pandas

...eries): import pandas as pd import numpy as np df = pd.DataFrame({'c1': [10, 11, 12], 'c2': [100, 110, 120]}) for index, row in df.iterrows(): print(row['c1'], row['c2']) 10 100 11 110 12 120 share | ...