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For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with
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Offers best practices for writing well-performing code using Python, including writing functions that clarify intention, promote reuse, and avoid bugs; efficient approaches to concurrency and parallelism; and tools for collaborative
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