November 2017
Beginner
316 pages
6h 40m
English
Content preview from Learning Julia
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Statistics
One of the strongest points of Julia has been its powerful support for statistical and mathematical functions. The Julia community has been very active in identifying the areas that can be covered using packages made purely in Julia, and hence we have now a group that deals purely in packages of Julia for stats. It's called JuliaStats, and can be found on GitHub at https://github.com/JuliaStats.
Some of the notable packages listed on the Julia stats page are as follows:
- PDMats.jl: Uniform interface for positive definite matrices of various structures
- Klara.jl: MCMC inference in Julia
- StatsBase.jl: Basic statistics for Julia
- HypothesisTests.jl: Hypothesis tests for Julia
- ConjugatePriors.jl: A Julia package to support conjugate ...
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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.