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Why is IoC / DI not common in Python?
...very common practice which is extensively used in web applications, nearly all available frameworks and Java EE. On the other hand, there are also lots of big Python web applications, but beside of Zope (which I've heard should be really horrible to code) IoC doesn't seem to be very common in the Py...
Increase distance between text and title on the y-axis
...ng \n)
– Anonymous
Aug 25 '18 at 15:32
@Anonymous Can you give an example where this margin = argument doesn't wokr?
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python tuple to dict
...version
– jterrace
Aug 21 '13 at 14:32
1
I like this for having the reverse explicitely spelled o...
Name of this month (Date.today.month as name)
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Dylan MarkowDylan Markow
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What is the meaning of “vnd” in MIME types?
...?
– IgorGanapolsky
May 14 '12 at 16:32
1
Yes, for instance. Microsoft, too, introduced non-standa...
Is there ever a time where using a database 1:1 relationship makes sense?
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A 1:1 relationship typically indicates that you have partitioned a larger entity for some reason. Often it is because of performance reasons in the physical schema, but it can happen in the logic side as well if a large chunk of the data is expected...
Trying to git pull with error: cannot open .git/FETCH_HEAD: Permission denied
...n give my www-data user the permission to update the .git directory. I am calling the shell script using php over http in browser. Details here
– KillABug
Aug 21 '15 at 8:58
15
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Convert number strings with commas in pandas DataFrame to float
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You may use the pandas.Series.str.replace method:
df.iloc[:,:].str.replace(',', '').astype(flo...
MPICH vs OpenMPI
...xtensive optimizations that make it the preferred implementation in nearly all cases.
Feature Support from the Latest MPI Standard
An orthogonal axis to hardware/platform support is coverage of the MPI standard. Here MPICH is usually far and away superior. MPICH has been the first implementation...
How to append rows to an R data frame
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Not knowing what you are trying to do, I'll share one more suggestion: Preallocate vectors of the type you want for each column, insert values into those vectors, and then, at the end, create your data.frame.
Continuing with Julian's f3 (a preallocated data.frame) as the fastest option so far, def...
