PDF Download Beginning Data Science with Python and Jupyter: Use powerful tools to unlock actionable insights from data, by Alex Galea
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Beginning Data Science with Python and Jupyter: Use powerful tools to unlock actionable insights from data, by Alex Galea
PDF Download Beginning Data Science with Python and Jupyter: Use powerful tools to unlock actionable insights from data, by Alex Galea
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Product details
Paperback: 194 pages
Publisher: Packt Publishing (June 5, 2018)
Language: English
ISBN-10: 1789532027
ISBN-13: 978-1789532029
Product Dimensions:
7.5 x 0.4 x 9.2 inches
Shipping Weight: 13.4 ounces (View shipping rates and policies)
Average Customer Review:
5.0 out of 5 stars
2 customer reviews
Amazon Best Sellers Rank:
#228,686 in Books (See Top 100 in Books)
This book packs a lot into a small space! You will need some basic knowledge of python to benefit from all examples/labs.
There are lots of great Python tutorials out there, and as somebody who has already worked through ‘Automate the Boring Stuff with Python’ I wanted a book to show me how to get started with data science without going over all of the basics of the language again. This book is ideal for that. It shows you step-by-step how to get up and running with Jupyter, and then works through Python data science libraries that I’d heard of before but never actually used. The whole thing feels like it was written for a classroom environment as it’s got lots of step-by-step example and activities, which works quite well given the subject matter.
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