November 2017
Beginner
316 pages
6h 40m
English
Content preview from Learning Julia
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Summary
In this chapter, we saw how Julia proves its mettle in the field of numerical and statistical computations. We saw how data from various sources can be read and written using Julia's built-in features as well as how to use DataFrames for our own advantage. Next, we saw how linear algebra and differential equations can be solved using some of the most advanced mathematical packages. Later on, Statistics proved to be an area of deep interest for Julia developers, as we saw how easy it is for someone coming from a traditional language background to easily pick up stats in Julia. Lastly, we talked about some optimization problems and how they can be solved in Julia.
Coming up, in the next chapter, we will see how to make more sense out ...
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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.