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What do the different readystates in XMLHttpRequest mean, and how can I use them?
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The full list of readyState values is:
State Description
0 The request is not initialized
1 The request has been set up
2 The request has been sent
3 The request is in process
4 The request is complete
(from https://www.w3schools.com/js/js_ajax_http_respo...
Optional Parameters with C++ Macros
...rd trick to count the number of arguments to a macro.
enum
{
plain = 0,
bold = 1,
italic = 2
};
void PrintString(const char* message, int size, int style)
{
}
#define PRINT_STRING_1_ARGS(message) PrintString(message, 0, 0)
#define PRINT_STRING_2_ARGS(message, size) ...
Total memory used by Python process?
...l with psutil 5.6.3, the last line should be
print(process.memory_info()[0])
instead (there was a change in the API).
Note: do pip install psutil if it is not installed yet.
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How do I get the different parts of a Flask request's url?
I want to detect if the request came from the localhost:5000 or foo.herokuapp.com host and what path was requested. How do I get this information about a Flask request?
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How to find index of list item in Swift?
... // 2
find(arr, "d") // nil
Update for Swift 2.0:
The old find function is not supported any more with Swift 2.0!
With Swift 2.0, Array gains the ability to find the index of an element using a function defined in an extension of CollectionType (which Array implements):...
RegEx - Match Numbers of Variable Length
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{[0-9]+:[0-9]+}
try adding plus(es)
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WPF ToolBar: how to remove grip and overflow
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answered Jun 26 '09 at 20:57
rmoorermoore
14.2k44 gold badges5656 silver badges5959 bronze badges
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What is a regular expression for a MAC Address?
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The standard (IEEE 802) format for
printing MAC-48 addresses in
human-friendly form is six groups of
two hexadecimal digits, separated by
hyphens - or colons :.
So:
^([0-9A-Fa-f]{2}[:-]){5}([0-9A-Fa-f]{2})$
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Pandas dataframe get first row of each group
...column:
>>> df.groupby('id').first().reset_index()
id value
0 1 first
1 2 first
2 3 first
3 4 second
4 5 first
5 6 first
6 7 fourth
To get n first records, you can use head():
>>> df.groupby('id').head(2).reset_index(drop=True)
id value
0 ...