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title: creating buckets in python: a tutorial with code examples
introduction:
in data science and engineering, "bucketing" refers to the process of grouping data into discrete categories or bins based on certain criteria. python provides several libraries and techniques for bucketing data efficiently. in this tutorial, we'll explore various methods for creating buckets in python, along with code examples.
conclusion:
in this tutorial, we explored different methods for creating buckets in python. whether you prefer using numpy for efficient numerical computations, pandas for structured data analysis, or pure python for simplicity, python offers flexibility in implementing bucketing techniques to suit various use cases in data analysis and engineering tasks. experiment with these methods to find the one that best fits your requirements.
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