endoftime5

5 ms·

1. 1.▲
   by endoftime5 7y ago

   Just wanted to jump in here and say that for numerical computing Julia’s ecosystem of libraries are absolutely fantastic! DifferentialEquations.jl alone was worth switching to Julia! Although I spent a long time optimising numerical code wi
2. 2.▲
   by endoftime5 7y ago

   “Writes like Python runs like C” is one tagline I’ve seen them use. Julia gives you a lot of control over how fast you want your code to be. You can write some code without really thinking too much and it’ll be fast and work just fine. If y
3. 3.▲
   by endoftime5 7y ago

   We have taken a slight performance hit, but the code is cleaner and much easier to extend.
4. 4.▲
   by endoftime5 7y ago

   I’ve just given this a cursory read but wanted to say that this looks really exciting. Julia in general seems like such an exciting language. I’ve recently switched some Fortran simulations at work for a pure Julia implementation and it is
5. 5.▲
   by endoftime5 7y ago

   I always hear my German colleagues complain about DB but having taken UK trains for a few years I can’t fault DB.
6. 6.▲
   by endoftime5 7y ago

   I’m Scottish and as soon as I saw “lox” I wondered if it was related to “lax”. Not a common word but have encountered it a few times. I also quite like gravlax which I suppose comes from the same origin!
7. 7.▲
   by endoftime5 7y ago

   Quite a healthy community on github producing nice modern Fortran code! https://github.com/Fortran-FOSS-Programmers