There's no JVM overhead like for Spark computation. The dask array methods use the numpy C-API, which are implemented in C and run on the physical machine.
Apart from rendering static html plots or plots with client-side JS callbacks, you could look into using the new bokeh server: http://bokeh.pydata.org/en/latest/docs/user_guide/server.htm... It allows for building…
That's super cool.
Yes - there's the ability to generate the raw html of a plot or a JS script and div that can be embedded in an HTML doc. Source: http://bokeh.pydata.org/en/latest/docs/user_guide/embed.html
Also, check out http://colour-science.org/ It has python implementations of a ton of colorspaces and transforms. Also some cool support for spectral data.
There's no JVM overhead like for Spark computation. The dask array methods use the numpy C-API, which are implemented in C and run on the physical machine.
Apart from rendering static html plots or plots with client-side JS callbacks, you could look into using the new bokeh server: http://bokeh.pydata.org/en/latest/docs/user_guide/server.htm... It allows for building…
That's super cool.
Yes - there's the ability to generate the raw html of a plot or a JS script and div that can be embedded in an HTML doc. Source: http://bokeh.pydata.org/en/latest/docs/user_guide/embed.html
Also, check out http://colour-science.org/ It has python implementations of a ton of colorspaces and transforms. Also some cool support for spectral data.