5 ms·

I won't hear of it. Matlab is great. Superb at manipulating matrices, great for getting started with differential equations, world-class plotting library, and m

I won't hear of it. Matlab is great. Superb at manipulating matrices, great for getting started with differential equations, world-class plotting library, and massively forgiving. All the things a computational engineer like me needs. I would never use it for producing software meant for distribution, but people mainly hate on it because it's 'cool', without realising that it excels at what it does. I fucking love matlab.

swordsmith 5y ago
+1 on this. Matlab toolboxes are much more well tested, has thorough documentation and work much better out of the box, especially for controls and signal processing. Working with scipy can be a pain sometimes with incorrect or unstable results.
maybelsyrup 5y ago
I know little about Matlab, but I know a lot about SAS, where it's the default analytical environment in public health practice and research. SAS is trash, and a ripoff to boot. R has made good inroads, giving SAS a tiny bit of pressure, but frankly it needs more. Bring on Julia! And python and anything else.
- xiaodai 5y ago
  that's why SAS developed Viya so you can run Python and R code.
spywaregorilla 5y ago
https://diffeq.sciml.ai/stable/tutorials/ode_example/ https://diffeq.sciml.ai/stable/tutorials/ode_example/ Diffeq are one of those things that Julia is a particularly good choice for that benefits strongly from its types and what not. Give it a shot if you do a lot of this. Julia syntax resembles matlab more than python or R.
- glial 5y ago
  Thanks, I'll give it a shot. Matlab's syntax for matrices is, naturally, great.
  - freemint 5y ago
    If you will do a lot of matrix stuff you might want to listen to https://youtu.be/C2RO34b_oPM https://youtu.be/C2RO34b_oPM taking Vector Transpose Seriously
- helmholtz 5y ago
  Chris Rackauckas' work on it was truly brilliant. I believe he also posts on HN sometimes. Anyway, I've had tonnes of fun playing around with differential equations in Julia!

swordsmith 5y ago

+1 on this. Matlab toolboxes are much more well tested, has thorough documentation and work much better out of the box, especially for controls and signal processing. Working with scipy can be a pain sometimes with incorrect or unstable results.

maybelsyrup 5y ago

I know little about Matlab, but I know a lot about SAS, where it's the default analytical environment in public health practice and research. SAS is trash, and a ripoff to boot. R has made good inroads, giving SAS a tiny bit of pressure, but frankly it needs more. Bring on Julia! And python and anything else.

xiaodai 5y ago
that's why SAS developed Viya so you can run Python and R code.

spywaregorilla 5y ago

https://diffeq.sciml.ai/stable/tutorials/ode_example/ https://diffeq.sciml.ai/stable/tutorials/ode_example/ Diffeq are one of those things that Julia is a particularly good choice for that benefits strongly from its types and what not. Give it a shot if you do a lot of this. Julia syntax resembles matlab more than python or R.

glial 5y ago
Thanks, I'll give it a shot. Matlab's syntax for matrices is, naturally, great.
- freemint 5y ago
  If you will do a lot of matrix stuff you might want to listen to https://youtu.be/C2RO34b_oPM https://youtu.be/C2RO34b_oPM taking Vector Transpose Seriously
helmholtz 5y ago
Chris Rackauckas' work on it was truly brilliant. I believe he also posts on HN sometimes. Anyway, I've had tonnes of fun playing around with differential equations in Julia!