August 2021
Beginner to intermediate
280 pages
6h 12m
English
Content preview from Data Science at the Command Line, 2nd Edition
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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.
Chapter 11. Conclusion
In this final chapter, the book comes to a close. I’ll first recap what I’ve discussed in the previous 10 chapters, and then I’ll offer you three pieces of advice and provide some resources to further explore the related topics we touched on. Finally, in case you have any questions, comments, or new command-line tools to share, I provide a few ways to get in touch with me.
Let’s Recap
This book explored the power of using the command line to do data science. I find it an interesting observation that the challenges posed by this relatively young field can be tackled using such a time-tested technology. I hope that you now see what the command line is capable of. The many command-line tools offer all sorts of possibilities that are well suited to the variety of tasks encompassing data science.
There are many definitions of data science available. In Chapter 1, I introduced the five-step OSEMN model as defined by Hilary Mason and Chris Wiggins, because it is a very practical one that translates to very specific tasks. The acronym OSEMN stands for obtaining, scrubbing, exploring, modeling, and interpreting data. Chapter 1 also explained why the command line is very suitable for doing these data science tasks.
In Chapter 2, I explained how you can get all the tools used in this book. Chapter 2 also provided an introduction to the essential tools and concepts of the command line.
The four OSEMN model chapters focused on performing those practical tasks using ...
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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.Julian F.
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.Addison B.
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.Amir M.
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.