This article discusses the collections module in Python, which provides specialized container datatypes as alternatives to the built-in datatypes. The module includes various functionalities such as namedTuple, Counter, deque, ChainMap, defaultdict, OrderedDict, and UserDict. Each functionality is explained, including its usage and advantages. The article also provides examples and illustrations to further clarify the concepts. A link to a colab notebook with code examples is also provided. This article was originally published on Towards AI.
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