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What is the fundamental difference between WebSockets and pure TCP?
I've read about WebSockets and I wonder why browser couldn't simply open trivial TCP connection and communicate with server like any other desktop application. And why this communication is possible via websockets?
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Use a LIKE statement on SQL Server XML Datatype
If you have a varchar field you can easily do SELECT * FROM TABLE WHERE ColumnA LIKE '%Test%' to see if that column contains a certain string.
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Convert a RGB Color Value to a Hexadecimal String
In my Java application, I was able to get the Color of a JButton in terms of red, green and blue; I have stored these values in three int s.
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How to display full (non-truncated) dataframe information in html when converting from pandas datafr
I converted a pandas dataframe to an html output using the DataFrame.to_html function. When I save this to a separate html file, the file shows truncated output.
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Open file in a relative location in Python
...n a subdirectory beneath where the script is actually located, you can use __file__ to help you out here. __file__ is the full path to where the script you are running is located.
So you can fiddle with something like this:
import os
script_dir = os.path.dirname(__file__) #<-- absolute dir the...
What is “point free” style (in Functional Programming)?
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Just look at the Wikipedia article to get your definition:
Tacit programming (point-free programming) is a programming paradigm in which a function definition does not include information regarding its arguments, using com...
“icon-bar” in twitter bootstrap navigation bar
I cannot understand what the following code means in terms of icon-bar :
3 Answers
3
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Read only file system on Android
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Not all phones and versions of android have things mounted the same.
Limiting options when remounting would be best.
Simply remount as rw (Read/Write):
# mount -o rw,remount /system
Once you are done making changes, remount t...
How to specify a multi-line shell variable?
I have written a query:
5 Answers
5
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Pandas dataframe get first row of each group
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>>> df.groupby('id').first()
value
id
1 first
2 first
3 first
4 second
5 first
6 first
7 fourth
If you need id as column:
>>> df.groupby('id').first().reset_index()
id value
0 1 firs...