May 2019
Beginner to intermediate
466 pages
10h 44m
English
Content preview from Julia 1.0 Programming Complete Reference Guide
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Summary
Julia's intuitive syntax makes for a lean learning curve. The optional typing and the wealth of shorthand constructors result in readable, noise-free code, while the large collection of third-party packages makes accessing, manipulating, visualizing, plotting, and saving data a breeze.
Just by learning Julia's basic data structures and a few related functions, coupled with its powerful data manipulation toolset, we were able to implement an efficient data analysis workflow and extract valuable insight from the Iris flowers dataset. That was all we needed in order to perform efficient exploratory data analysis with Julia.
In the next chapter, we'll continue our journey by learning how to build a web crawler. Web mining, the process ...
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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.