[07x13] Intro to Partial Differential Equations in Julia using DifferentialEquations.jl and Pluto

[@euanross2078]

Fantastic series- you break these complex ideas into digestible chunks and give us all a roadmap to follow. Great job!

[@doggodotjl]

Thanks for the kind words and thank you for your support, Euan!

[@carlsoderberg5355]

I keep coming back to this series. It is so well done and explains things so well. I've said it before and I'll say it again: Thanks for making my life easier!

[@doggodotjl]

You're welcome and thank you for the kind words!

[@sootynemm]

absolutely phenomenal work

[@doggodotjl]

Thanks!

[@cescalan9]

Gracias por este gran trabajo de divulgación. Excelentes videos. Feliz navidad, felices fiestas para vos y los tuyos. Gracias también a Chris Rackauckas por sus gestos de generosidad. También para él y los suyos unas felices fiestas de navidad.

[@doggodotjl]

¡De nada! ¡Gracias por tu apoyo, César, y Feliz Navidad!

[@pawelparadysz]

thank you for the series!

[@doggodotjl]

You're welcome! Thanks for being a channel member!

[@chrismen83240]

Love what you thanks you a lot, if you're searching ideas there is the Trixi package for hyperbolic pde's in witch you could ntroduce the basis of meshing, (Tree mesh, structured mesh,, unstructured mesh ect), transport equation, fluid simulation even if you can't enter in the details it would still be insane. again, thanks a lot, can't wait seeing you next videos.

[@doggodotjl]

Thanks for the suggestion. I had not heard of Trixi.jl before. I'll definitely check it out!

[@cemtutum273]

Thanks

[@doggodotjl]

Thank you!

[@oumardiallo7292]

I learned soooo much on your channel. You make these topics fun to learn and easy to grasp! Happy New Year !!! Don't know what is coming next...well, let's find out!

[@doggodotjl]

Happy New Year, Oumar!

[@Am-pe4iy]

Awesome work. Out of curiosity how do you see the future of julia? Will it survive for years?

[@doggodotjl]

Good question. Of course, I don't know the future, but I'm happy to share my opinion. I provided more detail on my thoughts about Julia in this video: kzbin.info/www/bejne/ZqfdoZKIpqx1aqc You don't need to watch the video, but the comments section underneath that video contains many different opinions about the future of Julia, so you can get a more balanced perspective. In a nutshell, I think that Julia will dominate the Scientific Computing space, which includes Numerical Computing and High Performance Computing. As for the Analytical space (which includes Data Science, Data Analysis and Data Visualization), I think that Julia can be competitive, but it probably won't be dominant. Regarding traditional software development (which includes App, Game, Web, Mobile, etc...), I don't think Julia will have much of a presence. And regarding low-level scripting work, I can't imagine anyone using Julia for that. Hope that helps!

[@user-rw6nn7uc8b]

thank you doggo!

[@doggodotjl]

You're welcome, 박종근!

[@vitriowibisono2875]

Doggo can you cover like ML with flux such as how we start, prerequisite for dive into ML, DeepLearning and such, if possible a pratical example.

[@doggodotjl]

I have a 13-part playlist that covers Julia Machine Learning for Beginners (Series 05): kzbin.info/aero/PLhQ2JMBcfAsi76O13sJzk4LXA_mu5sd9E This series introduces Supervised Learning, Unsupervised Learning and Reinforcement Learning. Episodes 05x08 and 05x09 cover Flux.jl using a Deep Learning example.