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Add list to set?
...mutable, meaning that you can change the contents of the list after adding it to the set.
You can however add tuples to the set, because you cannot change the contents of a tuple:
>>> a.add(('f', 'g'))
>>> print a
set(['a', 'c', 'b', 'e', 'd', ('f', 'g')])
Edit: some explanat...
HTML anchor link - href and onclick both?
...tes some JavaScript and then proceeds to go wherever the href was taking it. Invoking a function that executes my JavaScript and then sets window.location or top.location to the href location doesn't work for me.
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Check if SQL Connection is Open or Closed
How do you check if it is open or closed I was using
9 Answers
9
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Array.push() if does not exist?
How can I push into an array if neither values exist? Here is my array:
23 Answers
23
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Looping through localStorage in HTML5 and JavaScript
...as thinking I could just loop through localStorage like a normal object as it has a length. How can I loop through this?
7 ...
Difference between require, include, require_once and include_once?
...ed here.
The require() function is identical to include(), except that it handles errors differently. If an error occurs, the include() function generates a warning, but the script will continue execution. The require() generates a fatal error, and the script will stop.
The answer to 2 can be ...
Post JSON using Python Requests
...nwards, you can alternatively use 'json' parameter in the call which makes it simpler.
>>> import requests
>>> r = requests.post('http://httpbin.org/post', json={"key": "value"})
>>> r.status_code
200
>>> r.json()
{'args': {},
'data': '{"key": "value"}',
'files...
Why does sudo change the PATH?
This is the PATH variable without sudo:
17 Answers
17
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How do you explicitly set a new property on `window` in TypeScript?
I setup global namespaces for my objects by explicitly setting a property on window .
22 Answers
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How to normalize an array in NumPy?
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If you're using scikit-learn you can use sklearn.preprocessing.normalize:
import numpy as np
from sklearn.preprocessing import normalize
x = np.random.rand(1000)*10
norm1 = x / np.linalg.norm(x)
norm2 = normalize(x[:,np.newaxis], axis=0).ravel...