These instructions show how to build or connect to the our existing Jupyter Notebook playground for experimenting with Spark, Python, R, and Scala.
You can use the Technology Nursery Jupyter Notebook to play around with Python 3, R, Scala, Spark, Tensorflow and Keras.
This Notebook has only CPU capability, along with Python 3, R, Scala, Spark, Tensorflow and Keras.
The link will login by automatically passing the appropriate token for this server. Note that the service will create a new token whenever it gets restarted. A service restart can happen every time the server's packages are updated and the server is restarted.
jupyter-gpu is currently down. The service is made available from my laptop (Alienware17r3L) within the Navarro Computing LLC subnet. I am willing to make the service available upon request; email ralph@navarrocomputing.com |
This Notebook has GPU and CPU capability, along with Python2, tensorflow-gpu and keras. Not included are Spark, R, and Scala.
The link will login by automatically passing the appropriate token for this server. Note that the service will create a new token whenever it gets restarted. A service restart can happen every time the server's packages are updated and the server is restarted.
The following requires you to have an accessible Docker environment.
docker run -it --rm -p 8888:8888 jupyter/all-spark-notebook
If this system is down or unavailable, please call, text and/or email Ralph A. Navarro Jr. . |
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