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Python (and Python C API): __new__ versus __init__
..., tup).
– senderle
Sep 19 '11 at 19:46
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How large should my recv buffer be when calling recv in the socket library
...() to crash.
– caf
May 20 '10 at 21:46
3
In case of UDP, there is nothing wrong with sending UDP ...
“TypeError: (Integer) is not JSON serializable” when serializing JSON in Python?
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hschsc
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Very large matrices using Python and NumPy
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answered Jun 28 '09 at 1:46
DopplerShiftDopplerShift
3,04411 gold badge1616 silver badges1616 bronze badges
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Does pandas iterrows have performance issues?
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Mateen Ulhaq
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answered Jul 21 '14 at 17:39
JeffJeff
10...
Remove rows with all or some NAs (missing values) in data.frame
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– tumultous_rooster
Aug 18 '15 at 2:46
2
final is dataframe variable?
– Mor...
How to count the number of set bits in a 32-bit integer?
...all enough counts) that this doesn't produce carry into that top 8 bits.
A 64-bit version of this can do 8x 8-bit elements in a 64-bit integer with a 0x0101010101010101 multiplier, and extract the high byte with >>56. So it doesn't take any extra steps, just wider constants. This is what GCC...
Truncate Two decimal places without rounding
Lets say I have a value of 3.4679 and want 3.46, how can I truncate to two decimal places that without rounding up?
21 Answ...
How do I check if a C++ std::string starts with a certain string, and convert a substring to an int?
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87
If you're already using Boost, you can do it with boost string algorithms + boost lexical cast:...
How to select rows from a DataFrame based on column values?
...A'].values == 7
pd.DataFrame(d1.values[mask], d1.index[mask], d1.columns)
87 µs ± 5.12 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)
We cut the time in half.
mask alternative 3
@unutbu also shows us how to use pd.Series.isin to account for each element of df['A'] being in a se...
