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Patterns for handling batch operations in REST web services?
...ce. For example, to delete several messages at once.
DELETE /mail?&id=0&id=1&id=2
It's a little more complicated to batch update partial resources, or resource attributes. That is, update each markedAsRead attribute. Basically, instead of treating the attribute as part of each resourc...
Get __name__ of calling function's module in Python
...ef info(msg):
frm = inspect.stack()[1]
mod = inspect.getmodule(frm[0])
print '[%s] %s' % (mod.__name__, msg)
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Difference between `mod` and `rem` in Haskell
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20
I had the same question about rem and mod in Clojure, and this was the answer.
– noahlz
Jul 11 '12 at...
Is there a way to rename an Xcode 4 scheme?
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edited Mar 18 '11 at 0:59
answered Mar 18 '11 at 0:54
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What does template mean?
...Factorial<N - 1>::value };
};
template <>
struct Factorial<0>
{
enum { value = 1 };
};
// Factorial<4>::value == 24
// Factorial<0>::value == 1
void foo()
{
int x = Factorial<4>::value; // == 24
int y = Factorial<0>::value; // == 1
}
...
Pandas aggregate count distinct
...
How about either of:
>>> df
date duration user_id
0 2013-04-01 30 0001
1 2013-04-01 15 0001
2 2013-04-01 20 0002
3 2013-04-02 15 0002
4 2013-04-02 30 0002
>>> df.groupby("date").agg({"duration": np.sum, "user_id...
Fixed point vs Floating point number
...d represent would be 99999.99999 and the smallest non-zero number would be 00000.00001. Every bit of code that processes such numbers has to have built-in knowledge of where the decimal point is.
A floating point number does not reserve a specific number of bits for the integer part or the fraction...
SQL query for today's date minus two months
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290
If you are using SQL Server try this:
SELECT * FROM MyTable
WHERE MyDate < DATEADD(month, -2...
Can't resize UIView in IB
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edited Jul 6 '09 at 15:50
answered Jul 6 '09 at 15:44
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What is the most efficient way to create a dictionary of two pandas Dataframe columns?
...Speed comparion (using Wouter's method)
In [6]: df = pd.DataFrame(randint(0,10,10000).reshape(5000,2),columns=list('AB'))
In [7]: %timeit dict(zip(df.A,df.B))
1000 loops, best of 3: 1.27 ms per loop
In [8]: %timeit pd.Series(df.A.values,index=df.B).to_dict()
1000 loops, best of 3: 987 us per loop...