Makie.jl
StatsWithJuliaBook | Makie.jl | |
---|---|---|
6 | 11 | |
1,059 | 2,272 | |
- | 0.8% | |
0.0 | 9.6 | |
about 1 year ago | 6 days ago | |
Julia | Julia | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
StatsWithJuliaBook
-
An Introduction to Statistical Learning with Applications in Python
I actually like this book by Yoni Nazarathy
https://statisticswithjulia.org/
They have a book on Mathematics of DL too which is a natural progression from the concepts covered here.
(I am slightly biased towards this since I've known the author by online interactions)
-
Recommended Self-Study Statistics Book
Today I just started read Stats with Julia (https://statisticswithjulia.org/) and I have to say as a CS and math person, I really love this book. Of course one of the reasons may be that I want to learn Julia.
- Best resources for an R programmer to learn Julia?
-
Teaching 3 courses with Julia at Uni and need help
I like what little I have read so far in Statistics with Julia. There is also the recent MIT course Intro to Computational Thinking that uses Pluto and includes statistics and probability at a moderately advanced level.
-
Any Books Suggestions for Machine Learning With Julia?
A single Google search sufficed: https://statisticswithjulia.org/
-
Tutorial on beginner inferential statistics?
Here's the corresponding github link to the draft version of the book: https://github.com/h-Klok/StatsWithJuliaBook
Makie.jl
- Julia and Mojo (Modular) Mandelbrot Benchmark
-
how to visulaise motions and vectors in 3 dimensions?
Just look at this lotenz attractor https://docs.makie.org/stable/
-
Julia lib to get vector paths of font glyphs?
There does exist some code for reading glyph geometry from fonts - you can find some of it in the Makie source directory: eg https://github.com/MakieOrg/Makie.jl/blob/master/src/bezier.jl - you can see that there's quite a lot though...
- Makie.jl
-
Visualization of physics simulations
You'll want Makie.
- Makie: High level plotting on the GPU with Julia
-
SproutLife simulates the evolution of complex life.
Thanks! Looks like the Julia Makie library can do graphics and gui widgets as well -https://github.com/JuliaPlots/Makie.jl
-
Issue using Gadfly
There was also this recent thread where some folks were talking up Makie.jl, for which there is apparently also a Grammar-of-Graphics-style wrapper called AlgebraOfGraphics.jl.
-
Plotting in Julia (native packages)
If you're looking for native then Makie.jl is probably your best bet. It's still a little underdocumented and the integrations with the rest of the ecosystem are still incomplete, but it's a pretty amazing plotting library. Fast with easy GPU acceleration, good interactivity and animations (great for making GUIs), and easy to extend.
-
Zig library for generative images
How tricky or hard would it be to create nice looking plots from that? Something like https://github.com/JuliaPlots/Makie.jl but more low level.
What are some alternatives?
ISLR.jl - JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
Gadfly.jl - Crafty statistical graphics for Julia.
Plots.jl - Powerful convenience for Julia visualizations and data analysis
PyPlot.jl - Plotting for Julia based on matplotlib.pyplot
BlueStyle - A Julia style guide that lives in a blue world
Gnuplot.jl - Julia interface to gnuplot
JLD2.jl - HDF5-compatible file format in pure Julia
RCall.jl - Call R from Julia
BenchmarkTools.jl - A benchmarking framework for the Julia language
oneAPI.jl - Julia support for the oneAPI programming toolkit.
islr-for-gis - A repository for the content that is used and generated while completing independent study on using statistical learning methods in GIS.
duckdf - 🦆 SQL for R dataframes, with ducks