A basic tutorial about docker and how to build a Dockerfile and mount a volume and run a docker image
I’ve been reading Data Science at the Command Line recently and I’ve noticed an important reason why we use docker when I faced a problem. When I find something in a practical way, it means a lot to me even if I’ve heard a lot about it theoretically so you’ve probably faced that problem before and you said:
probably many times you said ‘it works on my machine!’ so why isn’t that working on another machine?
Before we dive into the problem and how docker can solve it, what Data Science at the Command Line is really about.
This book tries to catch your attention on the ability of the command line when you do data science tasks — meaning you can obtain your data, manipulate it, explore it, and make your prediction on it using the command line. If you are a data scientist, aspiring to be, or want to know more about it, I highly recommend this book. You can read it online for free from its website or order an ebook or paperback.
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The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.
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Need a data set to practice with? Data Science Dojo has created an archive of 32 data sets for you to use to practice and improve your skills as a data scientist.
A data scientist/analyst in the making needs to format and clean data before being able to perform any kind of exploratory data analysis.