Jupyter Interpreter for Apache Zeppelin
Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Zeppelin's Jupyter interpreter is a bridge/adapter between Zeppelin interpreter and Jupyter kernel. You can use any of jupyter kernel as long as you installed the necessary dependencies.
To run any Jupyter kernel in Zeppelin you first need to install the following prerequisite:
- pip install jupyter-client
- pip install grpcio
- pip install protobuf
Then you need install the jupyter kernel you want to use. In the following sections, we will talk about how to use the following 3 jupyter kernels in Zeppelin:
Jupyter Python kernel
In order to use Jupyter Python kernel in Zeppelin, you need to install
pip install ipykernel
Then you can run python code in Jupyter interpreter like following.
%jupyter(kernel=python) %matplotlib inline import matplotlib.pyplot as plt plt.plot([1, 2, 3])
Jupyter R kernel
In order to use IRKernel, you need to first install
IRkernel package in R.
install.packages('IRkernel') IRkernel::installspec() # to register the kernel in the current R installation
Then you can run r code in Jupyter interpreter like following.
%jupyter(kernel=ir) library(ggplot2) ggplot(mpg, aes(x = displ, y = hwy)) + geom_point()
Jupyter Julia kernel
In order to use Julia in Zeppelin, you first need to install IJulia first
using Pkg Pkg.add("IJulia")
Then you can run julia code in Jupyter interpreter like following.
%jupyter(kernel=julia-1.3) using Pkg Pkg.add("Plots") using Plots plotly() # Choose the Plotly.jl backend for web interactivity plot(rand(5,5),linewidth=2,title="My Plot") Pkg.add("PyPlot") # Install a different backend pyplot() # Switch to using the PyPlot.jl backend plot(rand(5,5),linewidth=2,title="My Plot")
Use any other kernel
For any other jupyter kernel, you can follow the below steps to use it in Zeppelin.
- Install the specified jupyter kernel. you can find all the available jupyter kernels here
- Find its kernel name by run the following command
bash jupyter kernelspec list
- Run the kernel as following