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Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You'll learn how to write Python code to obtain, transform, and analyse data, practicing state-of-the-art data processing techniques for use cases in business management, marketing, and decision support. Review: Muy bueno - Tal como se esperava Review: Very good - Good introduction to data science
| Best Sellers Rank | #155,848 in Books ( See Top 100 in Books ) #250 in Web Programming #272 in Databases & Big Data #363 in Computer Programming Languages |
| Customer Reviews | 4.6 out of 5 stars 54 Reviews |
H**.
Muy bueno
Tal como se esperava
S**R
Very good
Good introduction to data science
M**E
good information
excellent infor
S**O
Skip this one
This book is not written well. I would skip this book and find other resources for your learning.
J**I
Don't waste your time
In this book, the author gives a link to a Github repository for this book claiming that it contains the answers for the practice solutions at the end of each chapter as well as other code files from the chapters - it does not. There are maybe 3 files total in the Github repository. This is something that should have been completed and ready to go with publication. The first few chapters are pretty vague and don't go too deep into explanation so it's difficult to tell if you're coding correctly when there aren't any solutions for the practice problems. I contacted No Starch Press about this and they said they would contact the author and I never heard anything back after that.
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