The collections Module

Python’s collections module provides specialized container datatypes that can be more efficient and expressive than using only lists or dictionaries. Among the most popular is Counter, which can count elements in an iterable with minimal code.

from collections import Counter

word_counts = Counter(words)
most_common = word_counts.most_common(5)

Need an ordered dictionary? Use OrderedDict. Need a dictionary with default values? Try defaultdict. These tools eliminate the need for verbose manual logic and can even improve performance in large-scale data processing.

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collections — Container datatypes

Source code: Lib/collections/__init__.py This module implements specialized container datatypes providing alternatives to Python’s general …

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5 Lesser-Known Python Features Every Data Scientist Should Know - KDnuggets

Learn about five handy Python features that many people miss but can make your data science work easier.

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