February 2017
Intermediate to advanced
274 pages
5h 58m
English
Content preview from Learning PySparkBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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TensorFrames – quick start
After all this preamble, let's jump start our use of TensorFrames with this quick start tutorial. You can download and use the full notebook within Databricks Community Edition at http://bit.ly/2hwGyuC.
You can also run this from the PySpark shell (or other Spark environments), like any other Spark package:
# The version we're using in this notebook $SPARK_HOME/bin/pyspark --packages tjhunter:tensorframes:0.2.2-s_2.10 # Or use the latest version $SPARK_HOME/bin/pyspark --packages databricks:tensorframes:0.2.3-s_2.10
Note, you will only use one of the above commands (that is, not both). For more information, please refer to the databricks/tensorframes GitHub repository (https://github.com/databricks/tensorframes).
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.