2017-12-06 10:38 GMT-08:00 Christian LeMoussel <cnh...@gmail.com>:
> I have to write a Python program that uses numpy in GO.
> I have this Python code :
> prefix = "de98671db1ce0e5c9ba89ab7ccdca6c427460295b8dd3642e9b2bb961723
> 307c57629b1ad37909a863a56965"
> prefix_np = np.fromstring(prefix[0:64], dtype=np.uint32, count=16)
> print("prefix_np: {}".format(prefix_np))
>
> Output :
>
> prefix_np: [ 943285604 1680946998 1700999522 1664443696 945906233 929194297
> 1667523427 878917217 909391666 892940848 1684289634 842282547 845298021
> 909730402 858928945 1664561203]
>
>
> Some idea how can I do this efficiently in GO ?
>
I guess this would depend on whether this is a well-defined format; you
might have to port numpy's fromstring to Go? But it should be possible...
If you control the Python side, it might be easier to dump the data as JSON
and import into Go that way.
Is there a library equivalent to numpy in GO?
>
I'm not knowledgeable enough to say, but Go has gonum which has similar
goals to numpy and other data science toolkits:
https://github.com/gonum/gonum
>
>
>
> Thank you for your help
> G
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