Data Analysis with Python and PySpark
$152.45
- Paperback
425 pages
- Release Date
16 March 2022
Summary
Unleash Big Data with Python and PySpark
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. Data Analysis with Python and PySpark is your guide to delivering successful Python-driven data projects.
Data Analysis with Python and PySpark is a carefully engineered tutorial that helps you use PyS…
Book Details
| ISBN-13: | 9781617297205 |
|---|---|
| ISBN-10: | 1617297208 |
| Author: | Jonathan Rioux |
| Publisher: | Manning Publications |
| Imprint: | Manning Publications |
| Format: | Paperback |
| Number of Pages: | 425 |
| Release Date: | 16 March 2022 |
| Weight: | 823g |
| Dimensions: | 234mm x 186mm x 20mm |
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What They're Saying
Critics Review
“A great and gentle introduction to spark.” Javier Collado Cabeza
“A phenomenal introduction to PySpark from the ground up.”Anonymous Reviewer
“A great book to get you started with PySpark!” Jeremy Loscheider
“Takes you on an example focused tour of building pyspark data structures from the data you provide and processing them at speed.” Alex Lucas
“If you need to learn PySpark (as a Data Scientist or Data Wrangler) start with this book!”Geoff Clark
About The Author
Jonathan Rioux
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.
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