Graphx did not support Python yet.
http://spark.apache.org/docs/latest/graphx-programming-guide.html

The workaround solution is use graphframes (3rd party API),
https://issues.apache.org/jira/browse/SPARK-3789

but some features in Python are not as same as Scala,
https://github.com/graphframes/graphframes/issues/57

Jingyu

On 20 April 2016 at 16:52, sujeet jog <sujeet....@gmail.com> wrote:

> It depends on the trade off's you wish to have,
>
> Python being a interpreted language, speed of execution will be lesser,
> but it being a very common language used across, people can jump in hands
> on quickly
>
> Scala programs run in java environment,  so it's obvious you will get good
> execution speed,  although it's not common for people to know this language
> readily.
>
>
> Pyspark API's i believe will have everything which Scala Spark API's offer
> in long run.
>
>
>
> On Wed, Apr 20, 2016 at 12:14 PM, berkerkozan <berkerko...@gmail.com>
> wrote:
>
>> I know scala better than python but my team (2 other my friend) knows only
>> python. We want to use graphx or maybe try graphframes.
>> What will be the future of these 2 languages for spark ecosystem? Will
>> python cover everything scala can in short time periods? what do you
>> advice?
>>
>>
>>
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