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Get URL query string parameters
What is the "less code needed" way to get parameters from a URL query string which is formatted like the following?
11 Answ...
Where can I find the TypeScript version installed in Visual Studio?
Maybe it's obvious, but I checked everywhere (besides the right place) and googled it. Nothing.
14 Answers
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Creating a new column based on if-elif-else condition
...ef f(row):
if row['A'] == row['B']:
val = 0
elif row['A'] > row['B']:
val = 1
else:
val = -1
return val
Then apply it to your dataframe passing in the axis=1 option:
In [1]: df['C'] = df.apply(f, axis=1)
In [2]: df
Out[2]:
A B C
a 2 2 0
b 3 1 ...
Batch renaming files with Bash
How can Bash rename a series of packages to remove their version numbers? I've been toying around with both expr and %% , to no avail.
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How to Loop through items returned by a function with ng-repeat?
I want to create divs repeatedly, the items is objects returned by a function. However the following code report errors:
10 $digest() iterations reached. Aborting! jsfiddle is here: http://jsfiddle.net/BraveOstrich/awnqm/
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Grep regex NOT containing string
I am passing a list of regex patterns to grep to check against a syslog file. They are usually matching an IP address and log entry;
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What's the difference between tag and release?
Using GitHub's API, I can't get the releases list, but I can get the tags list.
1 Answer
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Is it considered acceptable to not call Dispose() on a TPL Task object?
I want to trigger a task to run on a background thread. I don't want to wait on the tasks completion.
3 Answers
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How to make a flat list out of list of lists?
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Given a list of lists l,
flat_list = [item for sublist in l for item in sublist]
which means:
flat_list = []
for sublist in l:
for item in sublist:
flat_list.append(item)
is faster than the shortcuts posted s...
Find row where values for column is maximal in a pandas DataFrame
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Use the pandas idxmax function. It's straightforward:
>>> import pandas
>>> import numpy as np
>>> df = pandas.DataFrame(np.random.randn(5,3),columns=['A','B','C'])
>>> df
A B C
0 1.232853 -1.979459 -0.5...