Timeline for MATLAB vs. Python in industry
Current License: CC BY-SA 4.0
6 events
when toggle format | what | by | license | comment | |
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Jul 20, 2023 at 15:53 | comment | added | Serge | True for a beginner Matlab is easier in implementing a number crunching efficiently, as you do not have to learn to use proper libraries say for matrix manipulation and jit. | |
Jul 20, 2023 at 15:53 | comment | added | Serge | Check do your student use jit, it is enabled by default in Matlab but Python requires installing a special library (i.e. module) such as numba. When jit is enabled Python might well outperform Matlab . See a benchmark at stackoverflow.com/a/51911200/5874981 for time series sample entropy. Julia is an interesting though a NIche project. For things where speed is crucial Rust or old good C++ is a better bet and Python is catching up with speed. | |
Nov 17, 2020 at 12:57 | comment | added | Mark L. Stone | May be true, but Julia has a marketing problem. It doesn't seem to have caught on in industry (yet). Perhaps part of the problem is a not very sexy name. Julia. Sounds like someone's great aunt (a not very exciting old lady). Here's what Wikipedia says on the naming of Julia : 'In an interview with InfoWorld in April 2012, Karpinski said of the name "Julia": "There's no good reason, really. It just seemed like a pretty name."[33] Bezanson said he chose the name on the recommendation of a friend.[34]'' | |
Nov 17, 2020 at 5:15 | review | Late answers | |||
Nov 17, 2020 at 5:43 | |||||
Nov 17, 2020 at 5:05 | review | First posts | |||
Nov 17, 2020 at 5:43 | |||||
Nov 17, 2020 at 4:59 | history | answered | Marc | CC BY-SA 4.0 |