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Our Guide to Open Source in Data Science

Over the past few decades, digital technologies have completely transformed our way of life. From how we communicate to the way we conduct business, software has disrupted how value is generated today. One of the most significant catalysts to the adoption and development of digital technologies is open-source software.

At a simple level, open-source software is a type of software where the source code is released with flexible licensing so that it can be accessed, used, distributed, and modified by other developers. Open-source software has introduced a paradigm shift: Organizations can now build secure, high-quality software that gives them more flexibility while hiring and retaining the best talent there is.

Similarly, open-source software will empower organizations to make the most of their data and create transformative solutions, processes, and products with machine learning and data science. Find out all you need to know about open-source in data science in our exclusive new guide.

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