Also it's not popular it's widely used. Popular implies also a good name. I'd argue in my area it's infamous.
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Hi, a little late to your party. What would you recommend over matlab. I use R but prefer Python. Is Julia recommended over matplotlib.
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Like I said in my post I would recommend the right open source tool for the job.
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And great post. I never really considered that our data could be paywalled. Very eye opening. Thanks for this.
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You're so welcome!
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To paraphrase the Animals I'm just a girl whose intentions are good. Oh, Lord please don't let me be misunderstood.

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Or do let me be misunderstood cos the trolls at least help me to clarify that I'm only saying this cos I think closed source is unethical.
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Not just good PR. They were on the early ones to actually make numerical linear algebra libraries accessible to many applied mathematicians. It was a big deal. Value is real, but business model is obsolete.
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There are many applied math-y type things that are not yet well supported in python/Julia. You need to make choices whether to spend weeks/months/years of your life re-building thing someone did well or take the short cut to testing a prototype.
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That's disappointing. I wonder if
@russel_winder might know some solution for open source applied maths? Are you all stuck with Matlab? -
It's discipline dependent. Astrophysicists went with Python and create the Astropy subsystem. There is Sympy, but I not au fait with it.
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Some Matlab users who got me in to do Python workshops were interested in the usual Python "data science" stack but also GNURadio.
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Other Matlab users who had me in for Python workshops were interested in the various financial data feeds and found the Python stack fine.
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I see. So basically unless the field adopts open source it's tough. Cultural change of a deeper kind needed before an individual can switch.
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Not necessarily a whole field but a goodly number within. It's the social acceptance of the stack as valid in the field that is critical.
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