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Overview: Research Software Engineering: A Guide to the Open Source Ecosystem strives to give a big-picture overview and an understanding of the opportunities of programming as an approach to analytics and statistics. The book argues that a solid “programming” skill level is not only well within reach for many but also worth pursuing for researchers and business analysts. The ability to write a program leverages field-specific expertise and fosters interdisciplinary collaboration as source code continues to become an important communication channel. Given the pace of the development in data science, many senior researchers and mentors, alongside non-computer science curricula lack a basic software engineering component. This book fills the gap by providing a dedicated programming-with-data resource to both academic scholars and practitioners. Even though Research Software Engineering aims to be inclusive and open to a broad audience with different starting points, several prerequisites exist to get the most out of this book. I recommend you have made your first experience with an interpreted programming language like R or Python.
Genre: Non-Fiction > Tech & Devices
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