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CSS How to set div height 100% minus nPx
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perfect. i did not know CSS3 could do this.
– Tom Beech
Aug 1 '13 at 13:57
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Error when changing to master branch: my local changes would be overwritten by checkout
...ch>
Then cherry pick the other commit:
git cherry-pick <theSha>
Now fix the conflict.
Otherwise, your other option is to abandon your current branches changes with:
git checkout -f branch
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Python idiom to return first item or None
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Should work now if get_list() returns None since it doesn't get subscripted or added anymore.
– Robert
Feb 1 '17 at 23:51
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How to draw polygons on an HTML5 canvas?
I need to know how to draw polygons on a canvas. Without using jQuery or anything like that.
9 Answers
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How can I add a hint text to WPF textbox?
...is a high chance that this will interfere with other control logic, if not now then in the future.
– AlexeiOst
Jan 7 '16 at 3:30
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100% width table overflowing div container [duplicate]
...ions), so I surrounded the table with a div and applied your styles to it. Now the table try to use all the parent's width but if table content is overflowing it appears the scroll bar.
– manuman94
Oct 15 '18 at 8:11
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How Do I Get the Query Builder to Output Its Raw SQL Query as a String?
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You may need to enable this as it's turned off by default now. You can use this command to turn it on temporarily: DB::enableQueryLog();
– Joshua Fricke
Jan 3 '16 at 20:51
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Error Code: 2013. Lost connection to MySQL server during query
... Following stackoverflow.com/q/16877574/395857, this issue is now solved (bugs.mysql.com/bug.php?id=69395)
– Franck Dernoncourt
Jun 18 '13 at 3:46
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Chrome can't load web worker
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Install local-web-server
$ npm install -g local-web-server
Now you can use it in any folder that you want to access the contents through http .
$ ws
Navigate to http://localhost:8000 (default port: 8000)
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Find column whose name contains a specific string
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Just iterate over DataFrame.columns, now this is an example in which you will end up with a list of column names that match:
import pandas as pd
data = {'spike-2': [1,2,3], 'hey spke': [4,5,6], 'spiked-in': [7,8,9], 'no': [10,11,12]}
df = pd.DataFrame(data)
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