June 2021
Beginner to intermediate
196 pages
5h 1m
English
Content preview from Python and R for the Modern Data Scientist
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Part IV. Bilingualism III: Becoming Synergistic
So far in this book we have been exploring the two languages in quite isolated cases. We learned how to learn one from the other, and in which data formats and workflows they excel. In all of those cases the separation has been quite distinct—for some tasks R excels, and in others its general-purpose counterpart Python is a better choice.
- Chapter 6
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In this chapter we’ll take a different perspective—one that can be heralding a new way to work with programming languages in the future.
- Chapter 7
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As the final chapter of the book, it is fitting to apply all the concepts we have learned so far. We’ll do this by going through a real-world case study of bilingual data science.
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