Learn how to write cleaner Python with enumerate, zip, generator expressions, itertools, and functional tools for readable, memory-efficient data processing.
Learn seven design patterns for data science code, from Strategy and Adapter to Command and Proxy, each matched to the ...
In previous chapters we have focused on sophisticated high-level data abstractions – but while it is true to say that in Python everything is an object it is universally true that in programming ...
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