Interested in learning Julia, Pluto and applied maths? Join the open MIT course taught by Alan Edelman, David P. Sanders, Grant Sanderson (3blue1brown) & James Schloss (LeiosOS) (and a bit of me): Introduction to Computational Thinking, fall 2020.
๐ Pluto presentation (20 min) at Juliacon 2020 ๐
Writing a notebook is not just about writing the final document โ Pluto empowers the experiments and discoveries that are essential to getting there.
Explore models and share results in a notebook that is
- reactive - when changing a function or variable, Pluto automatically updates all affected cells.
- lightweight - Pluto is written in pure Julia and is easy to install.
- simple - no hidden workspace state; friendly UI.
๐ Pluto demo inside your browser ๐
A Pluto notebook is made up of small blocks of Julia code (cells) and together they form a reactive notebook. When you change a variable, Pluto automatically re-runs the cells that refer to it. Cells can even be placed in arbitrary order - intelligent syntax analysis figures out the dependencies between them and takes care of execution.
Cells can contain arbitrary Julia code, and you can use external libraries. There are no code rewrites or wrappers, Pluto just looks at your code once before evaluation.
Your notebooks are saved as pure Julia files (sample), which you can then import as if you had been programming in a regular editor all along. You can also export your notebook with cell outputs as attractive HTML and PDF documents. By reordering cells and hiding code, you have full control over how you tell your story.
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.No hidden state, no hidden bugs.
Your programming environment becomes interactive by splitting your code into multiple cells! Changing one cell instantly shows effects on all other cells, giving you a fast and fun way to experiment with your model.
In the example below, changing the parameter A
and running the first cell will directly re-evaluate the second cell and display the new plot.
Lastly, here's one more feature: Pluto notebooks have a @bind
macro to create a live bond between an HTML object and a Julia variable. Combined with reactivity, this is a very powerful tool!
notebook from vdplasthijs/julia_sir
You don't need to know HTML to use it! The PlutoUI package contains basic inputs like sliders and buttons.
But for those who want to dive deeper - you can use HTML, JavaScript and CSS to write your own widgets! Custom update events can be fired by dispatching a new CustomEvent("input")
, making it compatible with the viewof
operator of observablehq. Have a look at the sample notebooks inside Pluto to learn more!
For one tasty notebook ๐ฅ you will need:
- Julia v1.0 or above, v1.5 is fastest
- Linux, macOS or Windows, Linux and macOS will work best
- Mozilla Firefox or Google Chrome, be sure to get the latest version
๐ How to install Julia & Pluto (6 min) ๐
Run Julia and add the package:
julia> ]
(v1.5) pkg> add Pluto
Using the package manager for the first time can take up to 15 minutes - hang in there!
To run the notebook server:
julia> import Pluto
julia> Pluto.run()
Pluto will open in your browser, and you can get started!
Questions? Have a look at the FAQ.
Follow these instructions to start working on the package.
Pluto.jl is open source! Specifically, it is MIT Licensed. The included sample notebooks have a more permissive license: the Unlicense. This means that you can use sample notebook code however you like - you do not need to credit us!
Pluto.jl is built by gluing together open source software:
Julia
- licenseCodeMirror
- licenseHTTP.jl
- licenseMsgPack.jl
- licensemsgpack-lite
- licenseobservablehq/stdlib
- licensepreact
- licensedevelopit/htm
- licenseMathJax
- license
Your notebook files are yours, you do not need to credit us. Have fun!
We are happy to say that Pluto.jl runs smoothly for most users, and is ready to be used in your next project!
The Pluto project is an ambition to rethink what a programming environment should be. We believe that scientific computing can be a lot simpler and more accessible. If you feel the same, give Pluto a try! We would love to hear what you think. ๐
- contact me (fonsi) via email or on my video chat room
- send your funky notebooks to the Zulip chat room (search for the
pluto.jl
stream) - use Pluto's built-in feedback system:
Questions? Have a look at the FAQ.
Created by Fons van der Plas and Mikoลaj Bochenski. Inspired by Observable.