Jonathan Rioux Data Analysis with Python and PySpark Reviews Summary
Ratings Breakdown
Rated 4.4 by 16 people
Pros from Reviews
- Experienced author
- Friendly to beginners
- Valuable for experienced developers
- Well-written
- Expands overall knowledge
- Excellent for data engineering
- Methodical introduction to PySpark
- Useful and easy to follow
Cons from Reviews
- Poor paper quality
Notable Features
Python
PySpark
456 pages
You might also be interested in:
- LZRS Double Adirondack Side Table
- Valante Set of Adult Game Toys Microfiber Drawstring Storage Bags
- Bannifll Dried Pampas Grass Bouquet
- AMITAYUS Flannel Fleece Throw Blanket
- ECCO Men's Biom 2.2 Sport Cross Trainer
- KNEADACE Sourdough Bread Starter Kit
- MammyGol Adjustable Rainbow Quad Skates
- Lnrueg Pet Teepee for Cats Dogs
- Kruggo 2-in-1 Fruit Cutter
- Gillian Whitney From Expert to Author: How YOU Can Write YOUR Business Book