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Pretty printing XML in Python
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Mad Physicist
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answered Apr 15 '09 at 0:21
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How to group dataframe rows into list in pandas groupby?
... return df2
Tests:
In [301]: %timeit f(df)
1000 loops, best of 3: 1.64 ms per loop
In [302]: %timeit df.groupby('a')['b'].apply(list)
100 loops, best of 3: 5.26 ms per loop
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Compute a confidence interval from sample data
...rd deviation via NormalDist.mean and NormalDist.stdev.
Compute the Z-score based on the standard normal distribution (represented by NormalDist()) for the given confidence using the inverse of the cumulative distribution function (inv_cdf).
Produces the confidence interval based on the sample's stan...
Can jQuery provide the tag name?
...nd jQuery itself do not have a either a nodeName function or property. But based on the respondent who first mentioned about this nodeName stuff, this is how I was able to resolve the problem:
this.attr("id", "rnd" + this.attr("nodeName") + "_" + i.toString());
NOTE: this here is a jQuery object....
Create instance of generic type whose constructor requires a parameter?
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shA.t
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answered Apr 8 '09 at 19:28
Jon SkeetJon Skeet
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Action Image MVC3 Razor
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You can use Url.Content which works for all links as it translates the tilde ~ to the root uri....
Creating an empty bitmap and drawing though canvas in Android
... for help, clarification, or responding to other answers.Making statements based on opinion; back them up with references or personal experience.To learn more, see our tips on writing great answers.
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How to backup a local Git repository?
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@Yar Great bundle script, based on the git bundle I advocated for in my answer below. +1.
– VonC
Jan 16 '14 at 4:47
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Resharper- Find all unused classes
...erFromAssembly goes through all the types inside the assembly and blindly [based on the methods parameter] adds them to the container at Run-time.
You will need something like Agent Mulder plugin which provides navigation for types registered or resolved inside your containers. This again might vis...
numpy: most efficient frequency counts for unique values in an array
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>>> pd.value_counts(x)
1 5
2 3
25 1
5 1
dtype: int64
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