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Software trainer, education consultant

I'm also @digital_carver

StackOverflowhttps://stackoverflow.com/users/8127/sundar-r
Julialang ZulipSundar R
Buy me a Chai?https://ko-fi.com/digital_carver
Rainbow

okay nature like i appreciate the sentiment and probably great article but also this type of juxtaposition will never stop being funny

There are more than 750 entries in the Big Book of Julia:

https://adamwysokinski.codeberg.page/bbj/

#julialang

Welcome to the Big Book of Julia!

At the #JuliaLang meet-up at the JuliaHub office in Bangalore. Say hello if you come across the nametag SUNDAR screaming at you!

#JuliaMeetup #JuliaQnA

@abhi_jl
Also, I'm not sure why that main docs link from https://genieframework.com/docs/? immediately leads to a an "Advanced" page.

Should it be linking to the "Getting Started" section https://genieframework.com/docs/genie/v5.4/tutorials/Getting-Started.html instead?

Seems like the "Advanced" page is getting chosen just because it's alphabetically first, but that's probably not the most useful place to start for a new user.

Documentation - Genie Framework

Genie Framework includes all you need to quickly build production-ready web applications with Julia. Develop Julia backends, create beautiful web UIs, build data applications and dashboards, integrate with databases and set up high-performance web services and APIs.

Hi @abhi_jl
The "v5 (latest)" link from https://genieframework.com/docs/? leads to https://genieframework.com/docs/genie/v5.4/tutorials/Advanced-Routing-Techniques.html

For those of us that have Javascript disabled by default, that page shows a misleading warning "You are not using the latest version of docs. Click here to go to v5 →" and the link actually takes us to the v4 version of the documentation.

Documentation - Genie Framework

Genie Framework includes all you need to quickly build production-ready web applications with Julia. Develop Julia backends, create beautiful web UIs, build data applications and dashboards, integrate with databases and set up high-performance web services and APIs.

#111 The Rise of the Julia Programming Language

Listen to this episode from DataFramed on Spotify. Python has dominated data science programming for the last few years, but there’s another rising star programming language seeing increased adoption and popularity—Julia. As the fourth most popular programming language, many data teams and practitioners are turning their attention toward understanding Julia and seeing how it could benefit individual careers, business operations, and drive increased value across organizations. Zacharias Voulgaris, PhD joins the show to talk about his experience with the Julia programming language and his perspective on the future of Julia’s widespread adoption. Zacharias is the author of Julia for Data Science. As a Data Science consultant and mentor with 10 years of international experience that includes the role of Chief Science Officer at three startups, Zacharias is an expert in data science, analytics, artificial intelligence, and information systems. In this episode, we discuss the strengths of Julia, how data scientists can get started using Julia, how team members and leaders alike can transition to Julia, why companies are secretive about adopting Julia, the interoperability of Julia with Python and other popular programming languages, and much more. Check out this month’s events: https://www.datacamp.com/data-driven-organizations-2022 Take the Introduction to Julia course for free! https://www.datacamp.com/courses/introduction-to-julia

Spotify
And it one-shots part 2! Truly mind-blowing stuff
I wrote my advent solutions in #rstats and #julialang but apparently I should have just been using #chatgpt (the program it wrote on the second try gets the correct answer - this is crazy!) https://chat.openai.com/chat
ChatGPT

A conversational AI system that listens, learns, and challenges

#JuliaTipOfTheDay#JuliaBeginners
2022-12-01

To quickly create a new #JuliaLang project environment to try out some piece of code, use
`]activate --temp`
or
`Pkg.activate(; temp = true)`

A fresh Julia environment is created, independent of your current env, where you can install any packages needed for that code. When you exit your Julia session, this temporary env will be deleted.

Very useful for running code you don't intend to keep saved, eg. when debugging someone else's Julia code.