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Using psql how do I list extensions installed in a database?
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Additionally if you want to know which extensions are available on your server: SELECT * FROM p...
How do I choose grid and block dimensions for CUDA kernels?
...\" fill=\"none\" xmlns=\"http://www.w3.org/2000/svg\"\u003e\u003cpath d=\"M46.1709 9.17788C46.1709 8.26454 46.2665 7.94324 47.1084 7.58816C47.4091 7.46349 47.7169 7.36433 48.0099 7.26993C48.9099 6.97997 49.672 6.73443 49.672 5.93063C49.672 5.22043 48.9832 4.61182 48.1414 4.61182C47.4335 4.61182 46.7...
How can I access an object property named as a variable in php?
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Jordan RunningJordan Running
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How to Detect if I'm Compiling Code with a particular Visual Studio version?
... that case
– José
Nov 26 '13 at 20:46
@José, true we could simplify it to just check for VC++ 9 with _MSC_VER_ == 15...
Combine two columns of text in pandas dataframe
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if both columns are strings, you can concatenate them directly:
df["period"] = df["Year"] + d...
Why were pandas merges in python faster than data.table merges in R in 2012?
...ython package Pandas). Matching 1 million strings of which
of which 600,000 are unique is now reduced from 16s to 0.5s, for example.
also in that release was :
character columns are now allowed in keys and are preferred to
factor. data.table() and setkey() no longer coerce character to
fa...
What are the differences between .so and .dylib on osx?
...\" fill=\"none\" xmlns=\"http://www.w3.org/2000/svg\"\u003e\u003cpath d=\"M46.1709 9.17788C46.1709 8.26454 46.2665 7.94324 47.1084 7.58816C47.4091 7.46349 47.7169 7.36433 48.0099 7.26993C48.9099 6.97997 49.672 6.73443 49.672 5.93063C49.672 5.22043 48.9832 4.61182 48.1414 4.61182C47.4335 4.61182 46.7...
Take all my changes on the current branch and move them to a new branch in Git
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JB.JB.
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What do REFRESH and MERGE mean in terms of databases?
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JPA Annotation Meaning for Many to Many relationships:
ALL - all possible cascading operation...
Converting a column within pandas dataframe from int to string
... = pd.Series(range(1000))').timeit(1000) >>> 0.41499893204309046 >>> timeit.Timer('c.astype(str)', setup='import pandas as pd; c = pd.Series(range(1000))').timeit(1000) 0.8004439630312845
– hamx0r
Apr 12 '18 at 23:23
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