Software Engineering for Data Scientists: From Notebooks to Scalable Systems - Paperbackby Catherine Nelson (Author) Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering, and clearly explains how to apply the best practices from software engineering to data science. Examples are provided in Python, drawn from
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Software Engineering for Data Scientists: From Notebooks to Scalable Systems - Paperback