Jumping Into Julia From Another Programming Language | Talk Julia #2

Are you you thinking about learning the Julia programming language and you're already fluent in another language, such as R, Python, or MATLAB? In this week's episode, we explore tips, ticks, and resources to help you get up to speed with the Julia language as quickly as possible.

EPISODE CHAPTERS
00:00 — Introduction
01:05 — 10 Things I Love About Julia (David)
13:18 — The Julia REPL (Randy)
24:42 — Learn Julia For Beginners (David)
30:45 — Derek Banas' Julia Tutorial (Randy)
33:05 — Noteworthy Differences From Other Languages (David)

ABOUT THE SHOW
Talk Julia is a weekly podcast devoted to the Julia programming language. Join hosts David Amos and Randy Davila as we explore Julia news and resources, learn Julia for ourselves, and share our experience and everything that we've learned.



✨ HELP SUPPORT THE SHOW ✨
If you get value from listening to our podcast each week and would like to support us, you can help us out for free by simply telling someone you know to check out our show.

But if you'd like to support us financially then... Wow! Thank you so much 🙏🏼 Here are two ways to do that:

OTHER LINKS

#Julia #JuliaComputing #JuliaLang #JuliaProgramming #LearnJulia

[hugosantaremdearaujo]

Hey, everyone, I just want to say thank you for the episode and for the initiative to make the podcast happen. I'm just now embarking into the Julia bandwagon and can already see how a podcast like this one can be helpful. Cheers!

[adithyavasudevan]

YouTube recommended this channel to me.

While many paths exist for Python and R programmers to adopt Julia, fewer paths exist for those who work in Rust, C, C++, Java, Scala or Go to adopt Julia for some aspects (For e.g, Machine Learning or Statistical Inference or Plotting). Hence, I'd love for this channel to go beyond 'You must be a Python or R programmer' mindset. For instance, questions like 'How does Julia do lazy evaluation?' or 'What concurrency abstractions does Julia support out of the box?' or 'Can Julia integrate with Apache Spark?' or 'How does one integrate Julia with Javascript Frameworks like React?' or 'How do I use Julia with QT to create native interfaces?' are just as important as the more typical questions a Python or R programmer may ask.

Looking forward!

[adithyavasudevan]

Would also be great if you could cover 'common misconceptions about julia'. For example, I've frequently heard Python or R programmers say 'I love julia because it's dynamically typed', whereas in reality, the compiler is working behind the scenes to generate method instances for all the multiple dispatch methods for a given function, so that the instances cover all patterns of calling the function in the given code. In other words, Julia's type inference goes beyond just discovering the types of variables - it extends into function signatures, and implementations of functions, and even beyond. This is usually where python, R, Ruby or even javascript programmers who come from a duck-typing world struggle - but herein also lies the key to extracting more from Julia.

Cheers.

[anatoliitsyplenkov]

Hey! Thanks for the podcast. I am looking forward to new videos. BTW what did you do at 45:00 to change the colors and labels?

[OKay]

Thanks for making this podcast. Would be nice if you can decrease the black border and increase the size of your face cams a bit ;)

[finan]

very informative and thanks for teaching as well as showing some great content about Julia out there

[SDG-ttv]

This is extremely useful to people that just started writing in julia...
Thanks for the effort and hope to see more

[kamilziemian]

David Amos said in this episode, that he just learning Julia now. Can he speak more about why he is starting podcast about language that he just start learning? For me it is incredible bold, even crazy, move.

[HungPham-zlls]

I like your channel. If you show the slide and your face more than the black border, it will be better. Hope in the future you will create a series about tips and tricks in Julia to help beginners.

[convincible-uy]

thanks God, it does not have OOP paradigm.