Pluto.jl
StatsWithJuliaBook | Pluto.jl | |
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6 | 78 | |
1,059 | 4,880 | |
- | - | |
0.0 | 9.5 | |
about 1 year ago | 1 day ago | |
Julia | JavaScript | |
MIT License | MIT License |
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StatsWithJuliaBook
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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)
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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?
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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.
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Any Books Suggestions for Machine Learning With Julia?
A single Google search sufficed: https://statisticswithjulia.org/
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Tutorial on beginner inferential statistics?
Here's the corresponding github link to the draft version of the book: https://github.com/h-Klok/StatsWithJuliaBook
Pluto.jl
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Potential of the Julia programming language for high energy physics computing
I thought that notebook based development and package based development were diametrically opposed in the past, but Pluto.jl notebooks have changed my mind about this.
A Pluto.jl notebook is a human readable Julia source file. The Pluto.jl package is itself developed via Pluto.jl notebooks.
https://github.com/fonsp/Pluto.jl
Also, the VSCode Julia plugin tooling has really expanded in functionality and usability for me in the past year. The integrated debugging took some work to setup, but is fast enough to drop into a local frame.
https://code.visualstudio.com/docs/languages/julia
Julia is the first language I have achieved full life cycle integration between exploratory code to sharable package. It even runs quite well on my Android. 2023 is the first year I was able to solve a differential equation or render a 3D surface from a calculated mesh with the hardware in my pocket.
- Pluto.jl: Simple, reactive programming environment for Julia
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Ask HN: Why don't other languages have Jupyter style notebooks?
Re Julia there is also pluto.jl that is another notebook-like environment for julia. It's been a few years since I played with it but it looked cool, for example it handles state differently so you don't get into the same messes as with ipython notebooks. https://plutojl.org/
- Pluto: Simple Reactive Notebooks for Julia
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Looking for a Julia gui framework with a demo like EGUI
For this, Notebooks are often used. Julia offers a uniquely nice and interactive Pluto notebook for the web https://github.com/fonsp/Pluto.jl
- Excel Labs, a Microsoft Garage Project
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IPyflow: Reactive Python Notebooks in Jupyter(Lab)
I believe this is what Pluto sets out to do for Julia.
I used it as part of the āComputational Thinkingā with Julia course a year or two back. Even then the beta software was very good and some of the demos the Pluto dev showed were nothing short of amazing
https://plutojl.org/
- For Julia is there some thing like VSCode's python interactive window?
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What have you "washed your hands of" in Python?
I think what you want is Pluto!
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Show HN: Out of order execution in Jupyter notebooks is a solved problem
I like how Pluto.jl handles this:
> Pluto offers an environment where changed code takes effect instantly and where deleted code leaves no trace. Unlike Jupyter or Matlab, there is no mutable workspace, but rather, an important guarantee:
> At any instant, the program state is completely described by the code you see.
[1] https://github.com/fonsp/Pluto.jl
What are some alternatives?
ISLR.jl - JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
vim-slime - A vim plugin to give you some slime. (Emacs)
Plots.jl - Powerful convenience for Julia visualizations and data analysis
rmarkdown - Dynamic Documents for R
BlueStyle - A Julia style guide that lives in a blue world
Weave.jl - Scientific reports/literate programming for Julia
JLD2.jl - HDF5-compatible file format in pure Julia
Dash.jl - Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.
BenchmarkTools.jl - A benchmarking framework for the Julia language
IJulia.jl - Julia kernel for Jupyter
Makie.jl - Interactive data visualizations and plotting in Julia
Tables.jl - An interface for tables in Julia