What a great overview of modern languages and their respective use cases! This is one of the very few presentations that has aged well. For my use case (web servers), I have found Go to be the most well-balanced language design I have ever used. It is simple and performant. It's no wonder, since it was made by none other than Ken Thompson and Rob Pike. For fun during my personal time, I have found Julia to be a fantastic language to explore.

The slides are not visible, not sure if im the only one. Do you mind sharing slide and GQM

I’m not entirely sure Julia has captured much from R and Python? And if you need speed it’s not that hard to write. C++ extension (especially with rcpp in R). I’d like to use it but I’m interested in reality not fads. Does it give you more job opportunities? It’s been 5 years….

Why Julia for Data science and Not a functional language Like OCaml, Haskell, Scala, F#, Clojure, ...?

This is seriously good. THank you very much for sharing

One of the videos which aged well.

It seems as if this is not a language problem, it's a compiler problem. Take the people who wrote the Rust compiler, tell them to apply those concepts to a new C++ compiler and you would probably achieve the same result. Tell them to apply those concepts and create a Pascal compiler and you might create the same result. It's not necessary to invent a new tool, evolve the shortcomings of the tool we already have.

well explained

Julia is great. The speed of C and simplicity of Python

Fantastic speaker and content. Makes total sense

How are these disruptive languages fairing today?

Currently Learning Julia Having a blast Highly recommend

Fantastically comprehensive presentation. I know some parts of this but this was such a great overview and validation the process review should be treated as a project in its own right!

Fantastically comprehensive presentation. I know some parts of this but this was such a great overview and validation the process review should be treated as a project in its own right!

Did you Julia fall off of improve after this presentation

Loved it, thank you...

what about hacking capabilities (in reverse, hacking identification), any language in germination ?

I would learn Julia as a substitute to python. But the lack of OOP support of Rust and Go make them less attractive.

Quite informative

Julia is future of DATA: climate change, finance, economics, medicine, space, ......

I'm still waiting for Modula-2 to catch on. Fingers crossed!

BUSINESS BACKGROUND IS VERY IMPORTANT. THANKS FOR MAKING ME UNDERSTAND MORE BUSINESS CONCEPTS. THERE ARE A LOT OF LEARNINGS THAT NEEDS TO BE DONE. "CAUSE AND EFFECT", , ROI OR RETURN OF INVESTMENT, AND A VERY GOOD FEASIBILITY STUDY. INVESTMENT IS HARD-EARNED. ALWAYS THINK FIRST BEFORE ANY ACTION. PROPER STUDY AND CAMARADERIE ARE SOME OF THE KEYS IN BUSINESS.

REMEMBERING MY MBA STUDIES BACK IN ATENEO. I took it after college while I was working :)

BUSINESS IS BEST WHEN THERE IS A CONCISE AND INTELLECTUAL SUPERVISION.

I TOOK MBA :) FURTHERMORE LAWSCHOOL... NOT TO FORGET, BACHELOR OF SCIENCE IN NURSING:) THANKS SO MUCH FOR THIS :)

Great webinar. Thank you.

Julia!

Fantastic presentation

Excellent video. Have studied the topic and drawn dozens of process flow models but this was a very instructive lecture. Drawing processes on basic level does not require that much but to truly master it is an another thing. Question: is there a comprehensive set of questions that cover all the most important things, when trying to draw/model a process that has not been drawn before?

I started looking at Julia as a PhD student a number of years ago, precisely because the two-language problem was limiting for the kind of machine learning I was doing. It wasn't very mature back then unfortunately so I had to rewrite some crucial parts of my model in C instead and interface that with my Matlab code. I'm glad to see Julia has come some way since then. I remember being quite excited about it being just as simple as Matlab for mathematical modelling, but it could be compiled down to be as fast as a systems-level language.

Julia was the best thing I could use in my workflow. Absolute fast as C and easy to use for those who have R and Python background. It has its own "tidyverse" kind of package, really easy to do functional programming as in R.

Good overview, thanks!

Very helpfull video. Thnx.

Picture in 23:59 above is Ken & DMR !

Thank you for share!

julia is bae

Speaking as a Pascal enthusiast... I wouldn't say it's actually dead.... it could well be terminally ill... but not quite dead yet.

anyone got this recommended from watching the Pro Tech SMP server, lol?

Great explanation!

Which do you reckon will be the future for audio engineering?

Outstanding explanation. Thanks !!

Jeff Goldblum?

Rust and Julia for me. Rust for Systems Programming while Julia for Data Science

Rod Davison sounds eerily familiar to the Harvard Researcher George Church.

So then Rust is simply for high tech ?

Watched after a lockdown day spent with nothing but Spark - resulted with a long stack trace. So, I agree with you, in general. On the other hand: Enterprise view: “Does Dask have support?” My view: “Can it compare to Spark community on StackOverflow?” Thanks!

Python rank is only #13? That is strange

Very well done. Incredibly helpful.

Awesome presentation. Thank you so much. I wonder if you are going to post videos about all the steps the same way you have done for step5!

Great video!