Viewing profile — npr11

Been using JuMP as a central part of a big project at work for the past 18 months and it's been great. Very intuitive to use, and lots of helpful responses on GitHub or discourse w…

Really nice to see so many little useability improvements -- like easy temporary envs, syntax highlighting in dependency conflict errors, and more partially-applied functions -- as…

Funny you should mention the asterisk, as the author of JuliaMono has just written a brilliant blog post about it: https://cormullion.github.io/pages/2020-10-09-asterisk/

Similar functionality is available in Julia via [NamedDims.jl]( https://github.com/invenia/NamedDims.jl/ ) And in other packages, such as [AxisArrays.jl]( https://github.com/JuliaA…

If they might enjoy something on computing, I'd recommend "The Pattern On The Stone: The Simple Ideas That Make Computers Work" by W.Daniel Hillis. It's very clear and well written…

Automatic differentiation. It's useful to so much computational work, but most people only get a cursory introduction to the topic (a rough intro to the minimum they need to know),…

I should have been more specific; I was thinking og the "Unrecognised Simplicities of Effective Action" blogs in particular.

Dominic Cummings https://dominiccummings.com/an-index-of-blogs-articles-paper...

Nice article! If you like this, you might like the Julia language. It has "lisp macros" but generally has "python-like" syntax Edit: here's a link to docs https://docs.julialang.or…

For being immensely practical, I'm a big fan of 1. "An Elegant Puzzle: Systems of Engineering Management" 2. "High Output Management" 3. "Peopleware: Productive Projects and Teams"…

Really useful examples; especially the data in rows versus columns example :)

Cool things you probably should never do in Julia

I work at company using Julia in production. What sort of recommendations are you looking for? :)

Even newer... so early days, but you might also be intereting `MagneticReadHead.jl`. The debugging instrumentation gets compiled into the code. https://github.com/oxinabox/Magnetic…

> Revise.jl allows you to modify code and use the changes without restarting Julia. Might be helpful :) https://timholy.github.io/Revise.jl/stable/

This looks awesome! Thanks for making a working library and a great introduction :)

Julia :) For scientific programming, it's a lot more fun than Python. And so far the community if friendly and responsive.

This post seemed aggressive and vague to me. I'm not even sure what problem the author has with these licenses. I _think_ the issue is confusing naming - which seems pretty solvabl…

Beyond the state of the Julia Language (which I am excited to try out since 1.0), the core community comes off really badly in this post, and the previous follow-up discussion on H…

Julia have just released v1.0, and I would like to try it out! (https://julialang.org/) Usually I use Python for scientific computing, and find it good for machine learning, and I …