(as of May 20,2023 18:46:03 UTC – Details)
From the Preface
Some of the most basic assumptions this book makes about you as a reader are that you want to learn how to mine data from popular social web properties, avoid technology hassles when running sample code, and have lots of fun along the way. Although you could read this book solely for the purpose of learning what is possible, you should know up front that it has been written in such a way that you really could follow along with the many exercises and become a data miner once you’ve completed the few simple steps to set up a development environment. If you’ve done some programming before, you should find that it’s relatively painless to get up and running with the code examples. Even if you’ve never programmed before, if you consider yourself the least bit tech-savvy I daresay that you could use this book as a starting point to a remarkable journey that will stretch your mind in ways that you probably haven’t even imagined yet.
This book will teach you a few things that you’ll be thankful to learn and will add a few indispensable tools to your toolbox, but perhaps even more importantly, it will tell you a story and entertain you along the way. It’s a story about data science involving social websites, the data that’s tucked away inside of them, and some of the intriguing possibilities of what you could do with this data.
Technology changes fast, and social media platforms along with it. When we began revising the second edition, it became clear that the book would benefit from an update to reflect all the changes that were taking place. The first and most obvious change was to update the code from Python 2.7 to a more recent version of Python 3.0+.
Publisher : O’Reilly Media; 3rd edition (Feb. 12 2019)
Language : English
Paperback : 426 pages
ISBN-10 : 1491985046
ISBN-13 : 978-1491985045
Item weight : 752 g
Dimensions : 17.78 x 2.54 x 22.86 cm