oxinabox

15 ms·

91.
by oxinabox 6y ago
More important is they changed the acceptance criteria to be Merged PRs. That is what it should have always been. Or at least "not closed" PRs.
92.
by oxinabox 6y ago
I can't tell you how much I dislike the non-removable apps. It basically killed my first android phone, which was very low end but fine for my needs when I got it. But it came with a ton of non-removable apps which were fine at first,
93.
by oxinabox 6y ago
http://winestockwebdesign.com/Essays/Lisp_Curse.html
94.
by oxinabox 6y ago
We are so strong with the more general Tables.jl abstraction. Tables.jl took us a step away from having lots of types of `AbstractDataFrame`. Subtyping `AbstractDataFrame` is hard, I have to deal with two packages that do it and it is a bi
95.
by oxinabox 6y ago
I call this the: "large-but-not-really-all-that-big data" For if you can fit it in RAM on a high-end machine, and on a single harddrive in a low-end machine. and its practically a more useful case. Since if data is truely big many
96.
by oxinabox 6y ago
The short answer is that you are underestimating the scale. Invenia operates over most of grids in the continental US. Think less "helping one powerplant how much to generate, and thus saving them money on wasted fuel if not needed.&qu
97.
by oxinabox 6y ago
Invenia had run Julia for our primary production system for over a year (nearly 2). The size of our Julia codebase is about 400,000 lines of code, spread over numerous internal and open source packages. You can cite the "we're hir
98.
ColPrac: Contributor's Guide on Collaborative Practices for Community Packages(github.com)
3 points by oxinabox 6y ago|0 comments
99.
JuliaLang Antipatterns(white.ucc.asn.au)
11 points by oxinabox 6y ago|2 comments
100.
by oxinabox 7y ago
We have so many AD packages than that in julia. Julia suffers the lisp problem for AD. http://winestockwebdesign.com/Essays/Lisp_Curse.html It is a real problem. One of my on going projects is ChainRules ( http:/&
101.
by oxinabox 7y ago
AST manipulation does not do it for AD in general (though XGrad.jl is doing it as a symbolic diff approach https://github.com/dfdx/XGrad.jl/ ), you want to work with the code reduced down to Single assignment form,
102.
by oxinabox 7y ago
Sadly I can not point you to a single piece of documentation that covers everything. That's definitely an area Julia can improve. Writing down the things "everyone" does, so newcomers don't have to learn them again. The
103.
by oxinabox 7y ago
You are describing every Julia package. These are the rules of the package manager. 1. Every package must declare it's dependencies (and to register must declare compat bounds on them, and good devs do that always anyway) 2. Every pack
104.
by oxinabox 7y ago
My employer uses DataFrames.jl in production. It's fine, nothing wrong with it. Used to be a bit unsafe to unwarey uses, now it's safe by default and you need to do a bit extra to get all the performance. It's worth knowing i
105.
by oxinabox 7y ago
> If u consider Julia as ur next language dont use it to any medium to big project outside pure scientific purposes it just isnt ready yet My employer, Invenia, uses Julia for what I would say is at least a medium sized project. ~200k LO
106.
by oxinabox 7y ago
DiffEq on ForwardDiff Dual numbers to calculate sensitivity via forward mode AD. DiffEq on Tracker's TrackedArray to calculate sensitivity via reverse mode AD. Measurements.jl's numbers that track measurement error input any algo
107.
by oxinabox 7y ago
I wrote 2 of them. MagneticReadHead.jl and MixedModeDebugger.jl MagneticReadhead is interesting as it is a purely compiled debugger via extensive source code transfroms. Same magic that powers Zygote.jl for AutoDiff. Also same general conce
108.
by oxinabox 7y ago
I have concluded that it is basically impossible to write a general purpose delegation macro. I have seen many and alway immediately run into cases they can't handle. A top level `for m in (:foo, :bar); @eval $m(X::MyType) = $m(X.backi
109.
by oxinabox 7y ago
You are not wrong. Also even the best metaprogramming solution will not help you you when you method to add to your backing type
110.
by oxinabox 7y ago
In practice most packages: 1. Never use submodules (they don't add much) 2. Only use `include` within the main `src/MyPackage.jl` file
111.
by oxinabox 7y ago
Nim made me really sad when they gave up on multiple dispatch. I has such potential as a language but I just can't imagine using one without multiple dispatch anymore
112.
by oxinabox 7y ago
Dynamic languages do do type inference. Or at least they can. Julia does type inference at compile time. The difference is that it doesn't have to succeed. If you write type unstable code then it won't.
113.
by oxinabox 7y ago
Generally via wrapping (Composition). ``` struct Foo <: AbstractFoo ... end struct SpecialFoo{T<:AbstractFoo} <: AbstractFoo backing::T end ``` and then delegating calls to the wrapped object
114.
by oxinabox 7y ago
There was a python talk at the 2019 juliacon.
115.
by oxinabox 7y ago
This post doesn't even mention python. Not even once.
116.
by oxinabox 7y ago
Author of post here: there were a major gripe for me starting out too. It took me a fair while to conclude that they allowed to useful things in the bigger picture. and it certainly is not a pure win. I do miss static typing. I would qu
117.
by oxinabox 7y ago
Mathematica? https://github.com/JuliaInterop/MathLink.jl Matlab? https://github.com/JuliaInterop/MATLAB.jl C/Fortran anything else that compiles to C-API supporting shared libraries is suppor
118.
by oxinabox 7y ago
Hacker News is just super on the ball, it out-paced actually updating the website. Still when I built julia this morning, from the 1.3 banch, I can confirm the -RC5 label was gone.
119.
by oxinabox 7y ago
There is definately space for compeditors to JuliaDB. I think its shown the area can work. But some competition to drive innovation is a win for everyone
120.
by oxinabox 7y ago
One downside is Revise v2 actually itself has a fairly high startup cost. Best alternative is to pin it to Revise v1. I personsally don't mind the startup too much. But I do get where people are coming from

More ›