What are the common data structures used in data science?
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What are the common data structures used in data science?
Common data structures in data science include lists, dictionaries, sets, and data frames. Each serves different purposes.
Can you explain how a data frame is used?
A data frame is a two-dimensional, size-mutable, and potentially heterogeneous tabular data structure, often used in libraries like Pandas.
What are the advantages of using dictionaries?
Dictionaries allow for fast lookups, are easy to use for key-value pairs, and can store complex data types.
How do sets differ from lists?
Sets are unordered collections of unique elements, while lists are ordered and can contain duplicates.
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