On Wednesday, August 27, 2014 7:00:51 PM UTC+2, Harald Schilly wrote:
>
>
>
> On Wednesday, August 27, 2014 4:16:46 PM UTC+2, bluescarni wrote:
>>
>> My impression is that the Scipy-Numpy-Sympy ecosystem is a better fit 
>> than Sage, at least for numerical purposes. 
>>
>
> Mine too, and despite Sage lacking with updates there is nobody holding 
> you back from working with just that stack in Sage and access additional 
> features on demand. We should make sure that installing additional packages 
> via pip does work (hence, we have to update numpy/scipy and so on from time 
> to time to get pandas&co working) but besides that this is fine.
>
> There are only two major issues:
> * compatibility: e.g. the .numpy() of a sage matrix gives you something 
> for numpy. one has to know that.
> * out-of-the-box: The Sage preparser breaks an awful lot of things if you 
> do not know that it is transforming your input. Personally, I was never 
> very fond of it but I fully understand why it is there. 
>
> Me dreaming: All of the above could be solved by yet another additional 
> sage spkg, which does not only add many of the numerical python libs, but 
> also changes some of the internals (like, disabling the preparser). The 
> actual question would be if that triggers any interest. I don't think so...
>
> --H
>
>
+1

Lacking numpy support is really one of the big flaws of Sage since 
Numpy,Scipy et al form a marvelous Matlab replacement.
And I hope truly that we get to Python 3 some time. Since Python has full 
UTF8 support writing 
if α < γ*ε:
 return σ

 is not a dream anymore

Nevertheless the Sage notebook is really good to work in combination with 
Scipy since you can make a quite good presentation of your results 

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