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Python: Why is functools.partial necessary?
...g constants, identity, etc) didn't happen (to avoid explicitly duplicating more of lambda's functionality), though partial did of course remain (it's no total duplication, nor is it an eyesore).
Remember that lambda's body is limited to be an expression, so it's got limitations. For example...:
&...
Detecting when the 'back' button is pressed on a navbar
...tions rely on the existence of a UINavigationBar. Instead like my approach more because it decouples the required tasks to perform from the action that triggered the event, i.e. pressing a back button.
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How to create ls in windows command prompt?
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How do I get the current username in Windows PowerShell?
... Thanks for coming back to answer your own question. Nothing more frustrating when someone figures out the answer themselves and simply replies, "Never mind, got it!"
– Matt DiTrolio
May 3 '12 at 13:45
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How to remove items from a list while iterating?
... for those who find the use of the [:] notation hackish or fuzzy, here's a more explicit alternative. Theoretically, it should perform the same with regards to space and time than the one-liners above.
temp = []
while somelist:
x = somelist.pop()
if not determine(x):
temp.append(x)
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Entity Framework vs LINQ to SQL
...rk is the all-out, no-holds-barred way to do it. This means you will take more time up-front, develop slower, and have more flexibility if you are working on something larger.
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The Use of Multiple JFrames: Good or Bad Practice? [closed]
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Numpy `logical_or` for more than two arguments
Numpy's logical_or function takes no more than two arrays to compare. How can I find the union of more than two arrays? (The same question could be asked with regard to Numpy's logical_and and obtaining the intersection of more than two arrays.)
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Disable browser's back button
...ry possible scenario, may tend towards disabling the back button being the more attractive option of the two.
– david.barkhuizen
Dec 27 '12 at 15:36
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Pandas conditional creation of a series/dataframe column
...reen
1 Z B green
2 X B red
3 Y C red
If you have more than two conditions then use np.select. For example, if you want color to be
yellow when (df['Set'] == 'Z') & (df['Type'] == 'A')
otherwise blue when (df['Set'] == 'Z') & (df['Type'] == 'B')
otherwise purple ...