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Why were pandas merges in python faster than data.table merges in R in 2012?

I recently came across the pandas library for python, which according to this benchmark performs very fast in-memory merges. It's even faster than the data.table package in R (my language of choice for analysis). ...
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How to send an email with Gmail as provider using Python?

I am trying to send email (Gmail) using python, but I am getting following error. 14 Answers ...
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Handling InterruptedException in Java

...upt gets noticed and processed on a higher level. – Péter Török Oct 20 '10 at 9:31 1 @Péter: ...
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Detect & Record Audio in Python

...to capture audio clips as WAV files that I can then pass to another bit of python for processing. The problem is that I need to determine when there is audio present and then record it, stop when it goes silent and then pass that file to the processing module. ...
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What would a “frozen dict” be?

... Python doesn't have a builtin frozendict type. It turns out this wouldn't be useful too often (though it would still probably be useful more often than frozenset is). The most common reason to want such a type is when memoiz...
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Can I use __init__.py to define global variables?

... This should have been the accepted answer. If you are working with Python 2.5 or higher you can also use an explicit relative import as well as described here: from . import MY_CONSTANT – ThatAintWorking Feb 12 '14 at 17:17 ...
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encryption/decryption with multiple keys

Is it possible to encrypt data, such that it can be decrypted with several different keys? 5 Answers ...
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Usage of EnsureSuccessStatusCode and handling of HttpRequestException it throws

... answered Aug 10 '19 at 21:06 Sérgio DamascenoSérgio Damasceno 34344 silver badges1313 bronze badges ...
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In MySQL queries, why use join instead of where?

...red Feb 11 '10 at 3:10 Otávio DécioOtávio Décio 68.9k1414 gold badges152152 silver badges219219 bronze badges ...
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Python pandas: fill a dataframe row by row

... Not the answer you're looking for? Browse other questions tagged python dataframe row pandas or ask your own question.