Re: Python support

2016-09-22 Thread Thomas Weise
> > > > > Python (not Jython) seems to be a popular language and frequently used > > for > > > data analysis, especially where flexibility matters. It has a > > comprehensive > > > library and it is generally considered low barrier to entry. I have > als

Re: Python support

2016-09-22 Thread Chinmay Kolhatkar
and frequently used > for > > data analysis, especially where flexibility matters. It has a > comprehensive > > library and it is generally considered low barrier to entry. I have also > > seen Python used in critical back-end components, although that's > probably > > not very

Re: Python support

2016-09-20 Thread Sasha Parfenov
> not very common? > > I think Python support could potentially expand the user base for Apex. > There are 2 main areas that can be considered: > > 1) Support to execute Python code through an operator > 2) A client API that lets users construct pipelines in Python > > Th

Re: Python support

2016-09-20 Thread Tushar Gosavi
> > >> > 6. This might be too early, but it important to emphasis that we need to >> > plan for writing examples and documentation for python binding. >> > >> > -Chinmay. >> > >> > >> > >> > On Fri, Sep 16, 2016 at 2:36

Re: Python support

2016-09-16 Thread David Yan
d frequently used > for > > data analysis, especially where flexibility matters. It has a > comprehensive > > library and it is generally considered low barrier to entry. I have also > > seen Python used in critical back-end components, although that's > probably > >

Re: Python support

2016-09-16 Thread Chinmay Kolhatkar
bly > not very common? > > I think Python support could potentially expand the user base for Apex. > There are 2 main areas that can be considered: > > 1) Support to execute Python code through an operator > 2) A client API that lets users construct pipelines in Python > >

Python support

2016-09-15 Thread Thomas Weise
probably not very common? I think Python support could potentially expand the user base for Apex. There are 2 main areas that can be considered: 1) Support to execute Python code through an operator 2) A client API that lets users construct pipelines in Python The former can exist without the latter