I meant python coming into vogue for signal processing/controls, sorry if that was unclear. And that's mostly anecdotal.
There's a lot of internal tooling around MATLAB that would take a lot of work to replace with Python. Like for example, I know a company that has a verilog compiler for their matlab models. That's not going to be rewritten for python.
MATLAB toolchains are also easy to maintain, since they're so damn expensive and locked down. Compared to python, which... isn't always straightforward.
And like I said before, MATLAB is just a fancy and expensive calculator. It's number crunch first, script second, and language third. Julia and python have a different balance, at least to me.
If I'm doing something quick and dirty, reaching for MATLAB is the absolute fastest way for me to do it, and the easiest to record. With python that's not true at all.
PS: I don't think I've ever seen someone use Labview to write and debug a DSP algorithm, so we've probably experienced totally different industries.
There's a lot of internal tooling around MATLAB that would take a lot of work to replace with Python. Like for example, I know a company that has a verilog compiler for their matlab models. That's not going to be rewritten for python.
MATLAB toolchains are also easy to maintain, since they're so damn expensive and locked down. Compared to python, which... isn't always straightforward.
And like I said before, MATLAB is just a fancy and expensive calculator. It's number crunch first, script second, and language third. Julia and python have a different balance, at least to me.
If I'm doing something quick and dirty, reaching for MATLAB is the absolute fastest way for me to do it, and the easiest to record. With python that's not true at all.
PS: I don't think I've ever seen someone use Labview to write and debug a DSP algorithm, so we've probably experienced totally different industries.