Data Analysis with Python and PySpark is a carefully engineered tutorial that helps you use PySpark to deliver your data-driven applications at any scale. This clear and hands-on guide shows you how to enlarge your processing capabilities across multiple machines with data from any source, ranging from Hadoop-based clusters to Excel worksheets. You’ll learn how to break down big analysis tasks into manageable chunks and how to choose and use the best PySpark data abstraction for your unique needs. By the time you’re done, you’ll be able to write and run incredibly fast PySpark programs that are scalable, efficient to operate, and easy to debug. Learn more about the book here: http://mng.bz/ggeZ

1. Flexible and Scalable
Data Analysis
with Data Analysis with Python and
PySpark.
Take 42% off the book by entering
slrioux into the discount code box at
checkout at manning.com.

2. Python data analysis at scale
When it comes to data
analytics, it pays to think big.
PySpark blends the powerful
Spark big data processing
engine with the Python
programming language to
provide a data analysis
platform that can scale up for
nearly any task.

3. Learn how to use it!
Data Analysis with Python and
PySpark is your guide to
delivering successful Python-
driven data projects.
In it, you’ll learn to build
lightning-fast pipelines for
reporting, machine learning,
and other data-centric tasks.
No previous knowledge of
Spark is required.
Lists and PySpark

4. Data Analysis with Python
and PySpark is a carefully
engineered tutorial that
helps you use PySpark to
deliver your data-driven
applications at any scale.
By the time you’re done,
you’ll be able to write and
run incredibly fast PySpark
programs that are scalable,
efficient to operate, and
easy to debug.
Now
Hiring

5. What people are saying
about the book:
Takes you on an example
focused tour ofbuilding
pyspark data structures
from the data you
provide and processing
them at speed.
-Alex Lucas
A phenomenal
introduction to
PySpark from the
ground up.
-Anonymous Reviewer
A good book to
get you started
with PySpark.
-Jeremy Loscheider

6. About the author:
As a data scientist for an
engineering consultancy,
Jonathan Rioux uses
PySpark daily. He teaches
the software to data
scientists, engineers, and
data-savvy business
analysts.
Datasets and data frames

7. Take 42% off Data Analysis with Python
and PySpark by entering slrioux into the
discount code box at checkout at
manning.com.
You can also take a preview of its
contents on our browser-based
liveBook reader here.