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Case insensitive searching in Oracle

...===============================================================-- SELECT /*csv*/ * FROM tab1 WHERE name = 'jOHN' ; -- no rows selected SELECT /*csv*/ * FROM tab1 WHERE name COLLATE BINARY_CI = 'jOHN' ; /* "I","NAME" 1,"John" */ SELECT /*csv*/ * FROM tab1 WHERE name LIKE 'j%'; -- no rows selected ...
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jquery: $(window).scrollTop() but no $(window).scrollBottom()

...his is what i was looking for... Thank you! – ℛɑƒæĿᴿᴹᴿ Nov 20 '17 at 13:20 add a comment  |  ...
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Fastest way to flatten / un-flatten nested JSON objects

... 3 ½ Years later... For my own project I wanted to flatten JSON objects in mongoDB dot notation and came up with a simple solution: /** * Recursively flattens a JSON object using dot notation. * * NOTE: input must be an ob...
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Listview Scroll to the end of the list after updating the list

... answered Dec 27 '11 at 9:43 WärtingWärting 8811010 silver badges1414 bronze badges ...
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Python str vs unicode types

... control at the code-point level. For example you can do: >>> 'àèìòù' '\xc3\xa0\xc3\xa8\xc3\xac\xc3\xb2\xc3\xb9' >>> print 'àèìòù'.replace('\xa8', '') à�ìòù What before was valid UTF-8, isn't anymore. Using a unicode string you cannot operate in such a way that t...
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SSH configuration: override the default username [closed]

...xample.org and just get rid of the HostName line. – Lèse majesté Jun 14 '17 at 5:21 add a c...
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Copying files into the application folder at compile time

... answered Dec 8 '18 at 16:12 Ehsäɳ KhʌɳEhsäɳ Khʌɳ 3111 bronze badge ...
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Convert Pandas column containing NaNs to dtype `int`

I read data from a .csv file to a Pandas dataframe as below. For one of the columns, namely id , I want to specify the column type as int . The problem is the id series has missing/empty values. ...
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How do you test a public/private DSA keypair?

...t the anatomy of the public key file. – Salathiel Genèse Sep 16 at 19:33 add a comment  |  ...
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Replacing blank values (white space) with NaN in pandas

... If you are exporting the data from the CSV file it can be as simple as this : df = pd.read_csv(file_csv, na_values=' ') This will create the data frame as well as replace blank values as Na ...