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Array slicing in Ruby: explanation for illogical behaviour (taken from Rubykoans.com)

...emselves): :peanut :butter :and :jelly 0 1 2 3 4 4 is still within the array, just barely; if you request 0 elements, you get the empty end of the array. But there is no index 5, so you can't slice from there. When you do index (like array[4]), you are pointin...
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What is the fastest integer division supporting division by zero no matter what the result is?

... movl %eax, %ecx popl %ebp movl %edx, %eax sarl $31, %edx idivl %ecx ret As this turned out to be such a popular question and answer, I'll elaborate a bit more. The above example is based on programming idiom that a compiler recognizes. In the above case a boole...
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Converting a column within pandas dataframe from int to string

...hape(5,2),columns=list('AB')) In [17]: df Out[17]: A B 0 0 1 1 2 3 2 4 5 3 6 7 4 8 9 In [18]: df.dtypes Out[18]: A int64 B int64 dtype: object Convert a series In [19]: df['A'].apply(str) Out[19]: 0 0 1 2 2 4 3 6 4 8 Name: A, dtype: object In [20]: df['A...
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How to compare two strings in dot separated version format in Bash?

...; 1) op='>';; 2) op='<';; esac if [[ $op != $3 ]] then echo "FAIL: Expected '$3', Actual '$op', Arg1 '$1', Arg2 '$2'" else echo "Pass: '$1 $op $2'" fi } # Run tests # argument table format: # testarg1 testarg2 expected_relationship ech...
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Connect to a locally built Jekyll Server using mobile devices in the LAN

... 183 Try jekyll serve --host=0.0.0.0 when you invoke Jekyll on the command line. That will make Jeky...
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Validate phone number with JavaScript

...ctly. It validates that the phone number is in one of these formats: (123) 456-7890 or 123-456-7890 26 Answers ...
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How can I check if a string represents an int, without using try/except?

Is there any way to tell whether a string represents an integer (e.g., '3' , '-17' but not '3.14' or 'asfasfas' ) Without using a try/except mechanism? ...
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Moving matplotlib legend outside of the axis makes it cutoff by the figure box

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Find the max of two or more columns with pandas

...>>> import pandas as pd >>> df = pd.DataFrame({"A": [1,2,3], "B": [-2, 8, 1]}) >>> df A B 0 1 -2 1 2 8 2 3 1 >>> df[["A", "B"]] A B 0 1 -2 1 2 8 2 3 1 >>> df[["A", "B"]].max(axis=1) 0 1 1 8 2 3 and so: >>> df["C"] = ...
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while (1) vs. while(True) — Why is there a difference (in python 2 bytecode)?

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