Version 11 of Mathematica

Post by gone35 » Tue, Aug 09, 2016, 2:38 AM UTC

williamstein wrote: post #31

coldtea wrote: post #24

Earlier quoted context omitted.

> An open question independent of the author: What do people use Mathematica for that can't be done in R, SAS, Matlab, SPSS or Python libraries. All those don't offer a seamless environment, that's hassle free, easy to setup, with commercial support, a great GUI, great documentation and works across so many science domains and with different approaches. So, the question is quite (but not that severely) like "what peo…

We (see https://cloud.sagemath.com ) and others (e.g., https://www.continuum.io/ ) do offer commercial support for Python (etc.) and an easy to setup environment. Of course, Matlab is also commercially supported by Mathworks, and it seems that R is now commercially supported by Microsoft ( https://www.microsoft.com/en-us/cloud-platform/r-server ). [Edit: added Microsoft]

Post by Mathnerd314 » Tue, Aug 09, 2016, 3:49 AM UTC

dr_zoidberg wrote: post #82

Mathnerd314 wrote: post #37

Earlier quoted context omitted.

Mathematica is kind of the opposite of "the bleeding edge". If you want the latest algorithms, statistics, etc., those will be found in R, C++, Python etc. in the author's website. If you want well-tested, mostly-robust algorithms, those (might) be in Mathematica; they follow innovation, rather than leading it. Mathematica also has some algorithms from the 70's and 80's that aren't widely available as open source, an…

>> The part I've found most useful has been Wolfram|Alpha; it's really nice to be able to say "August 2, 2016 - September 4, 2017" and get back the number of days, weeks, and hours between those two times. In Python: import datetime # standard module timedelta = datetime.datetime(2016, 8, 2) - datetime.datetime(2017, 9, 4) timedelta.days > -398 timedelta.days / 7 > -57 timedelta.days / 7. > -56.857142857142854 timede…

Post by dr_zoidberg » Tue, Aug 09, 2016, 6:41 AM UTC

Mathnerd314 wrote: post #93

dr_zoidberg wrote: post #82

Earlier quoted context omitted.

>> The part I've found most useful has been Wolfram|Alpha; it's really nice to be able to say "August 2, 2016 - September 4, 2017" and get back the number of days, weeks, and hours between those two times. In Python: import datetime # standard module timedelta = datetime.datetime(2016, 8, 2) - datetime.datetime(2017, 9, 4) timedelta.days > -398 timedelta.days / 7 > -57 timedelta.days / 7. > -56.857142857142854 timede…

Add a parser (so I can say "August" or "Aug" instead of 8) and I might start using it (just because the Wolfram|Alpha page loads so slowly). For example something like this: https://dateparser.readthedocs.io/en/latest/ Importing packages every time I want to use them is rather tedious though. I guess I need PYTHONSTARTUP as well. Overall, though, 10 minutes to setup something I only use once or twice a year seems lik…

    datetime.datetime.strptime("Aug 18 2015", "%b %d %Y")
    > datetime.datetime(2015, 8, 18, 0, 0)

    import datetime
    def string2date(val):
        return datetime.datetime.strptime(val, "%b %d %Y")

    from dateutils import *
    string2date("Jul 4 1776")
    datetime.datetime(1776, 7, 4, 0, 0)

Post by lispm » Tue, Aug 09, 2016, 10:07 AM UTC

protomyth wrote: post #5

I do wonder if they have ever thought of building a Mathematica Machine like the old Lisp and Smalltalk machines?

Post by dr_zoidberg » Tue, Aug 09, 2016, 2:29 PM UTC

dr_zoidberg wrote: post #95

Mathnerd314 wrote: post #93

Earlier quoted context omitted.

Add a parser (so I can say "August" or "Aug" instead of 8) and I might start using it (just because the Wolfram|Alpha page loads so slowly). For example something like this: https://dateparser.readthedocs.io/en/latest/ Importing packages every time I want to use them is rather tedious though. I guess I need PYTHONSTARTUP as well. Overall, though, 10 minutes to setup something I only use once or twice a year seems lik…

No need to, already included (though I'm not so familiar with the datetime module, so I had to look for it): datetime.datetime.strptime("Aug 18 2015", "%b %d %Y") > datetime.datetime(2015, 8, 18, 0, 0) Like xapata said, if you import from datetime, it looks "nicer". I prefer to see where things come from most of the time, because I keep open long sessions and it can become messy otherwise. I don't really see how this…