Julia Basics 6B: Using PyPlot for faster plotting

#julialang #plotting #programming

Plots from Julia is a great package, but because of the latency it currently has, it can be a turn off to use. Pyplot is about twice as fast! Furthermore, if you're coming from a Python background, it runs of off matplotlib. Also Matlab users, if you didn't know matplotlib was actually designed by some Matlab developers with the intention of it to have similar commands to Matlab, so users would have an easier time coming to this language. Anyway, I go into a simple example on how to run PyPlot, and do some more code reading and sifting, because another good skill to develop is reading other peoples code.

SECTIONS
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0:00 - using PyPlot
1:38 - defining the domain
3:37 - defining the range
6:02 - plotting

Julia Basic Series
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Learning Repo
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[rohitberiwal]

Hi, this was really, helpful. Thank you so much for the content! Also wanted to inform you that Lecture 2 is missing from the Julia basic playlist at the time of watching this video. Amazing series, will watch all the series as well (Intermediate and Advanced)!. Once again Thanks a lot!

[lunalect]

Hi, nice video series. Quick question though -- isn't pyplot the default backend to Plots.jl (and StatsPlots.jl)? You could stay within Plots.jl (or StatsPlots.jl) and just switch the backends as needed (PyPlot, GR, Plotly, etc).