Thanks for the introduction. I have used none of these. But just from watching numpy seems like the most effort to get matrices to get working. I'll give these a go too!
I do prefer Matlab - it just seems more polished and has a better interface. However, I have only used it in professional situations where it was paid for, or a student when it was really cheap.
Thanks Garrett. As I said in the video, I have very little experience with any of them, but they all warrant a closer look. I'm partial to programming with Python, so am interested in NumPy. SciLab has a Simulink alternative called xcos. Octave works with Matlab files. And Julia seems to just be getting more and more popular. I'm looking forward to exploring more.
oh heyyy, tip: put following in description to get the youtube to pickup those beatiful timestamps u already put: 00:00 - Intro ---------- 6 months later: lol, i forgot that i have said that earlier as well hey there again, i was just rewatching this video. one tip: put the following in the description so that youtube can detect the mentioned timestamps as "Chapters":
when i watched this video before, i had not used any, but now i am using octave. havent tried any other. And for octave, if you prefer the cleaner interface, you should run the "Octave (CLI)" rather than "Octave (GUI)" which u ran in this vid 2:17. No separate install is required, both of these come together.
Yeah, I think you're right. I could have done that, but like I said in the video, I haven't spent much time with Anaconda or Numpy at all, so I missed that.
4:51 why is "Anaconda" showing "VS Code" there?? 🤔 does it only provide a shortcut to launch it or does it installs vs code too? if latter, then what if it's already installed?
You can use Julia with VSCode for a nice GUI. And you could solve in Julia with A\b. Scilab installation count with nice GUI, I must say I didn't know we can use terminal! Using Numpy, enter the matrix A and b is thw worst of them, but you could solve using np.inv(A)@b
I prefere scilab over octave because its well maintained, and gui has less bugs. But any julia, octave or scilab are the better way to go over python because thei have easier sintax.
Thanks for the introduction. I have used none of these. But just from watching numpy seems like the most effort to get matrices to get working. I'll give these a go too!
Dude this is amazing, Almost makes you wonder why so many individuals/hobbyist opt for Matlab instead of these
I do prefer Matlab - it just seems more polished and has a better interface. However, I have only used it in professional situations where it was paid for, or a student when it was really cheap.
Great video! Great to see all the options!
Thanks Garrett. As I said in the video, I have very little experience with any of them, but they all warrant a closer look. I'm partial to programming with Python, so am interested in NumPy. SciLab has a Simulink alternative called xcos. Octave works with Matlab files. And Julia seems to just be getting more and more popular. I'm looking forward to exploring more.
oh heyyy, tip: put following in description to get the youtube to pickup those beatiful timestamps u already put:
00:00 - Intro
----------
6 months later: lol, i forgot that i have said that earlier as well
hey there again, i was just rewatching this video.
one tip: put the following in the description so that youtube can detect the mentioned timestamps as "Chapters":
thanks god i am not alone (in the concerned circle of ppl) who gets confused by how to get things like python set up and working.
3:54 - numpy intro
4:09 - it's package within python
4:21 - anaconda
4:54 - spyder
when i watched this video before, i had not used any, but now i am using octave. havent tried any other.
And for octave, if you prefer the cleaner interface, you should run the "Octave (CLI)" rather than "Octave (GUI)" which u ran in this vid 2:17. No separate install is required, both of these come together.
Thanks for the update. I'll definitely try the CLI next time
4:48 i wonder if u just had to use the console, then why didnt u use "CMD.exe Prompt" the first tile there instead of spyder.
Yeah, I think you're right. I could have done that, but like I said in the video, I haven't spent much time with Anaconda or Numpy at all, so I missed that.
4:51 why is "Anaconda" showing "VS Code" there?? 🤔
does it only provide a shortcut to launch it or does it installs vs code too? if latter, then what if it's already installed?
I just tried it and looks like it just launches VS Code. I think you have to configure it to do what you want though
> _just launches vs code_
@@ElectronXLab ah, okay then. that's okay with me. but if it installed it without choice, that'd be a bummer.
@@yash1152 yeah, that would be a bummer and I don’t know if it does or not. I already had it installed
R?
octave
Julia, Scilab look crappy in comparison to the Octave GUI. Numpy? Well it looks a lot more complex and difficult to use
You can use Julia with VSCode for a nice GUI. And you could solve in Julia with A\b.
Scilab installation count with nice GUI, I must say I didn't know we can use terminal!
Using Numpy, enter the matrix A and b is thw worst of them, but you could solve using np.inv(A)@b
I prefere scilab over octave because its well maintained, and gui has less bugs. But any julia, octave or scilab are the better way to go over python because thei have easier sintax.