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Variable interpolation in the shell

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How to strip all whitespace from string

... 316 Taking advantage of str.split's behavior with no sep parameter: >>> s = " \t foo \n ...
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What is the use of the ArraySegment class?

...2, 4 }; array.Dump(); var segment = new ArraySegment<byte>(array, 2, 3); segment.Dump(); // output: 9, 20, 70 segment.Reverse().Dump(); // output 70, 20, 9 segment.Any(s => s == 99).Dump(); // output false segment.First().Dump(); // output 9 array.Dump(); // no change ...
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Best way to create custom config options for my Rails app?

...IG = YAML.load_file("#{RAILS_ROOT}/config/config.yml")[RAILS_ENV] # Rails 3+ APP_CONFIG = YAML.load_file(Rails.root.join('config/config.yml'))[Rails.env] If you're using Rails 3, ensure you don't accidentally add a leading slash to your relative config path. You can then retrieve the value using...
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Appending an element to the end of a list in Scala

... List(1,2,3) :+ 4 Results in List[Int] = List(1, 2, 3, 4) Note that this operation has a complexity of O(n). If you need this operation frequently, or for long lists, consider using another data type (e.g. a ListBuffer). ...
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Correct way to convert size in bytes to KB, MB, GB in JavaScript

...tBytes(1024); // 1 KB formatBytes('1024'); // 1 KB formatBytes(1234); // 1.21 KB formatBytes(1234, 3); // 1.205 KB Demo / source : function formatBytes(bytes, decimals = 2) { if (bytes === 0) return '0 Bytes'; const k = 1024; const dm = decimals < 0 ? 0 ...
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Adding new column to existing DataFrame in Python pandas

... a b c d 6 -0.269221 -0.026476 0.997517 1.294385 8 0.917438 0.847941 0.034235 -0.448948 >>> df1['e'] = pd.Series(np.random.randn(sLength), index=df1.index) >>> df1 a b c d e 6 -0.269221 -0.026476 0.997517 ...
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Deprecated ManagedQuery() issue

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dropping infinite values from dataframes in pandas?

...2]: df.replace([np.inf, -np.inf], np.nan) Out[12]: 0 0 1 1 2 2 NaN 3 NaN The same method would work for a Series. share | improve this answer | follow ...
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Python creating a dictionary of lists

... >>> d defaultdict(<type 'list'>, {1: ['1'], 2: ['1', '2'], 3: ['2']}) >>> d.items() [(1, ['1']), (2, ['1', '2']), (3, ['2'])] share | improve this answer | ...