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How to start nginx via different port(other than 80)

... | edited Apr 26 '19 at 11:27 nyedidikeke 4,51177 gold badges2929 silver badges4646 bronze badges answ...
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How to run JUnit tests with Gradle?

...r equivalent) repo: dependencies { ... testCompile "junit:junit:4.11" // Or whatever version } Run those tests in the folders of tests/model? You define your test source set the same way: sourceSets { ... test { java { srcDirs = ["test/model"] // Note ...
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How do I convert an integer to string as part of a PostgreSQL query?

... – Frederik Struck-Schøning Jan 25 '18 at 11:26 add a comment  |  ...
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Switch branch names in git

...ere. Thanks. – Rimian Aug 19 '10 at 11:43 add a comment  |  ...
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CodeFile vs CodeBehind

... Sergey 1,29411 gold badge2424 silver badges3333 bronze badges answered Jun 5 '09 at 8:46 Shafqat AhmedShafqat Ahm...
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How to fight tons of unresolved variables warning in Webstorm?

... Andreas Berheim BrudinAndreas Berheim Brudin 1,46611 gold badge1313 silver badges88 bronze badges ...
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What are the Ruby File.open modes and options?

...93C48.9099 6.97997 49.672 6.73443 49.672 5.93063C49.672 5.22043 48.9832 4.61182 48.1414 4.61182C47.4335 4.61182 46.7256 4.91628 46.0943 5.50789C45.7307 4.9328 45.2525 4.66231 44.6595 4.66231C43.6264 4.66231 43.1481 5.28821 43.1481 6.59048V11.9512C43.1481 13.2535 43.6264 13.8962 44.6595 13.8962C45.69...
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Elegant method to generate array of random dates within two dates

...93C48.9099 6.97997 49.672 6.73443 49.672 5.93063C49.672 5.22043 48.9832 4.61182 48.1414 4.61182C47.4335 4.61182 46.7256 4.91628 46.0943 5.50789C45.7307 4.9328 45.2525 4.66231 44.6595 4.66231C43.6264 4.66231 43.1481 5.28821 43.1481 6.59048V11.9512C43.1481 13.2535 43.6264 13.8962 44.6595 13.8962C45.69...
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Git merge two local branches

... Erdinç ÇorbacıErdinç Çorbacı 1,0811313 silver badges1717 bronze badges 1 ...
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How to sort a dataFrame in python pandas by two or more columns?

...of sort: df.sort(['a', 'b'], ascending=[True, False]) For example: In [11]: df1 = pd.DataFrame(np.random.randint(1, 5, (10,2)), columns=['a','b']) In [12]: df1.sort(['a', 'b'], ascending=[True, False]) Out[12]: a b 2 1 4 7 1 3 1 1 2 3 1 2 4 3 2 6 4 4 0 4 3 9 4 3 5 4 1 8 4...