Pluto.jl VS squoosh

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.

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/

For this, Notebooks are often used. Julia offers a uniquely nice and interactive Pluto notebook for the web https://github.com/fonsp/Pluto.jl

I believe this is what Pluto sets out to do for Julia.

I used it as part of the “Computational Thinking” 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/

I think what you want is Pluto!

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

Here's another handy tool that I use: https://squoosh.app/

Squoosh: A webpage that allows you to quickly optimize images for your blog.

One of the most complete image compressor out there, squoosh.app by Google, uses web assembly for decoding/encoding images and it works pretty well.

First off you want to shrink your images. Every mb your page is the more it will hurt your score. I use https://squoosh.app/

https://squoosh.app/

Having a quick look at squoosh, it uses lossy compression of webp by default.

Size images appropriately (https://squoosh.app/ can be used for this). Ideally, the size of the image should be kept below 100 KB.

if your images a large file size, remove them from the page, reduce file size, and place new reduced file size images in their place - publish the site to bring the new pics live - clear your cache - go the page and test it (good tool to reduce image file size is Google Squoosh - https://squoosh.app/ )

I'm just exporting normally from Figma, but then using squoosh.app (browser based) to adjust quality/compression and even for making sure png files are optimized for prod.

Hey I see your friend made a clan, but this guy found a workaround here if you still need it. I just used https://squoosh.app/ to basically save a new copy of the image and that worked