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Python Data Science: A Hands-On Guide for Experts by Travis Booth (English) Pape

grandeagleretail
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US $27.40
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eBay item number:388208686947
Last updated on 24 Jun, 2025 17:53:38 BSTView all revisionsView all revisions

Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN-13
9781707108695
Book Title
Python Data Science
ISBN
9781707108695

About this product

Product Identifiers

Publisher
Independently Published
ISBN-10
1707108692
ISBN-13
9781707108695
eBay Product ID (ePID)
20038484780

Product Key Features

Number of Pages
174 Pages
Publication Name
Python Data Science : a Hands-On Guide for Experts
Language
English
Subject
Data Modeling & Design, Intelligence (Ai) & Semantics, Data Visualization
Publication Year
2019
Type
Textbook
Subject Area
Computers
Author
Travis Booth
Series
Python Data Science Ser.
Format
Trade Paperback

Dimensions

Item Height
0.4 in
Item Weight
10.9 Oz
Item Length
9.2 in
Item Width
7.5 in

Additional Product Features

Intended Audience
Trade
Series Volume Number
Vol. 3
Synopsis
Become a Data Science Genius Using Python! Big data manipulation with Python is one of the hottest topics going around right now but it can be difficult to understand where to begin. If you already have some coding experience then finding a book that strikes the right balance between concepts and practical examples can be difficult. Python Data Science is your ultimate resource to master data manipulation using Python's extensive libraries. Travis Booth, the author of Deep Learning with Python, Linux for Beginners and Python Coding will take you on a deep dive into the world of data analytics using Python from A to Z. Whether you've had exposure to Python programming previously or if you're searching for a resource that is focused on teaching Python data analysis for beginners, this is the book for you. Here are some of the topics you will learn about: Data manipulation and implications for statistics NumPy arrays and other manipulations visualization techniques- beyond Matplotlib Regression models- linear and logistical Stemming and lemmatization and much more! Join all the people who have integrated data analytics into their skill set. Learn one of the most sought after and relevant skills employers are looking for! Click buy now! Bonus- Get the ebook completely free when you purchase the paperback with Kindle Matchbook

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grandeagleretail

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Average for the last 12 months
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4.9
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  • r***r (2959)- Feedback left by buyer.
    Past 6 months
    Verified purchase
    Book arrived today, 2 days before deadline given by the seller. Well-packaged & in good condition. Price was very competitive, & the book was accurately listed. Great communication. I appreciate the seller getting back to me when I was having trouble tracking the book's delivery progress. Apparently there were 2 different tracking numbers - one in Canada & the other in the U.S., since it was initially shipped from Canada. Thank you very much for your quick response & helpful information.
  • e***_ (13)- Feedback left by buyer.
    Past 6 months
    Verified purchase
    Seller handles a massive inventory so I give them grace on the slow processing and shipping. They were very communicative and prompt with their response when I messaged in asking about it. Book was in good condition as described. Small ding on the page edges which wasn't mentioned, but that's fairly common even at your typical book store. Still a good value and I'd buy from them again.
  • 0***i (5)- Feedback left by buyer.
    Past month
    Verified purchase
    The first item arrived with some damage to the inside back cover, but the seller responded immediately, assuring me they’d provide a replacement, and even told me I could keep the original. They were upfront about a short delay, and gave a clear estimated ship date, and followed up right on time once it shipped. The replacement arrived in perfect condition and exactly as described. I really appreciated their transparency and professionalism. Would definitely buy from them again!