September 2018
Intermediate to advanced
472 pages
12h 2m
English
book
Python Data Science Essentials - Third Edition
by Alberto Boschetti, Luca Massaron, Pietro Marinelli, Matteo Malosetti
Content preview from Python Data Science Essentials - Third Edition
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Summary
In this chapter, we have introduced you to the Hadoop ecosystem, including the architecture, HDFS, and PySpark. After this introduction, we started setting up your local Spark instance, and after sharing variables across cluster nodes, we went through data processing in Spark using both RDDs and DataFrames.
Later on in this chapter, we learned about machine learning with Spark, which included reading a dataset, training a learner, the power of the machine learning pipeline, cross-validation, and even testing what we learned with an example dataset.
This concludes our journey around the essentials in data science with Python, and the next chapter is just an appendix to refresh and strengthen your Python foundations. In conclusion, ...
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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.