quokka VS jupyter

For more features and details check out the official docs https://quokkajs.com/

Used to be true, but between Quokka.js for quick prototypes, Wallaby.js for running tests smartly within the IDE, and now Console Ninja which enables inline console.log within the VSCode while running servers for common tooling (webpack, vite). As well as continuously improving collaboration tools like Live Share, And it's become hard for me to find an argument that Webstorm is still better for productivity here.

I use https://quokkajs.com/ it has a free version!

There are some fantastic tools such as Quokka which make "more algorithmic" development very interactive and fun

There's also extensions like https://quokkajs.com/

Quokka.js

I’m a Clojure(script) dev learning TS. My Clojure REPL flow is Cursive + IntelliJ. The closest equivalent I’ve found is https://quokkajs.com for inline evaluation and https://wallabyjs.com for test evaluation. Both are paid products but have free 30 day evaluation periods. Both work in IntelliJ and VsCode.

If you want to code and practice your JS in a sandbox, I highly recommend using VS Code (if you're not already using that for your HTML/CSS) in conjunction with Quokka.js. If you use `console.log()` function to log your results, Quokka will output directly in the editor. There are online resources that do something similar like codesandbox.io but I've found it nice to have a local environment.

6. Jupyter Jupyter is a collection of tools and applications designed for interactive computing and data visualization. At the heart of the Jupyter ecosystem is the Jupyter Notebook, an interactive web-based platform that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It’s an excellent tool for exploratory data analysis, model prototyping, and creating reproducible data science workflows.

How cool. This motivated a quick search - this could be fun:

How to write your own kernel

https://jupyter-client.readthedocs.io/en/stable/kernels.html

All the language kernels (a lot of abandoned ones - the mariaDB one ('binder') will take a while to load but SQL in Jupyter!)

https://github.com/jupyter/jupyter/wiki/Jupyter-kernels

There are Jupyter kernels for Python, Mathics, Wolfram, R, Octave, Matlab, xeus-cling, allthekernels (the polyglot kernel). https://github.com/jupyter/jupyter/wiki/Jupyter-kernels

Not only there is. But it is only a simple Google search away... But to make it simpler... There are 3 😁 https://github.com/jupyter/jupyter/wiki/Jupyter-kernels

As it seems, this is not quite straight forward and manyusers have similar troubles.

Community maintained kernels : https://github.com/jupyter/jupyter/wiki/Jupyter-kernels

Derek Banas on YouTube is doing a "Python for Finance" course at ghe moment using Jupyter, and is making the files available. I believe he's done others too.Failing that, there's this Git repo: A gallery of interesting jupyter notebooks