Software Engineering for Data Scientists: From Notebooks to Scalable Systems
Software Engineering for Data Scientists presents a practical perspective on building dependable data-driven systems. Catherine Nelson focuses on the journey from exploratory notebooks to scalable software, offering a bridge between data science workflows and the engineering practices needed for maintainability, reliability, and growth.
About This Book
Software Engineering for Data Scientists explores the practices and principles that connect data science work with professional software development.
The book focuses on the transition from experimental notebooks to systems that are more reliable, maintainable, and scalable.
It is intended for readers working with data who want to strengthen their engineering approach and build more robust technical solutions.
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