Publish the examples in the guide as an ipython/databricks notebook

[tjhunter]

[dennyglee]

Hey @tjhunter - which folder would you like me to put ipython/databricks notebooks? I've got one ready and I'll setup a PR for it so you can review.

[kartha01]

Hi Denny,

I am trying to run the Quick Start.ipynb and am running into some issues. Already have TensorFlow on the system:

!pip show tensorflow  

Name: tensorflow
Version: 0.9.0
Summary: TensorFlow helps the tensors flow
...

In addition, have added the following jars to be picked up by the kernel:

tensorframes-0.2.8-s_2.11.jar
scala-logging-slf4j_2.11-2.1.2.jar
scala-logging-api_2.11-2.1.2.jar

But the following section fails with "RuntimeError: maximum recursion depth exceeded in cmp":

with tf.Graph().as_default() as g:
    # The TensorFlow placeholder that corresponds to column 'x'.
    # The shape of the placeholder is automatically inferred from the DataFrame.
    x = tfs.block(df, "x")
    
    # The output that adds y to x
    z = tf.add(x, 3, name='z')
    
    # The resulting dataframe
    df2 = tfs.map_blocks(z, df)

# Note that `z` is the tensor output from the `tf.add` operation
print z

I tried setting the recursion limit to 10000, but it still fails. Any thoughts to resolve this is greatly appreciated!

Thanks,
Rajesh

[dennyglee]

So sorry @kartha01 - I somehow completely missed this notification. I actually re-wrote the notebook so it's a bit cleaner. Let me close the PR for the notebook and add the new one in.