PostgreSQL 10 High Performance - Third Edition: Expert techniques for query optimization, high availability, and efficient database maintenance Contributor(s): Pirozzi, Enrico (Author), Ahmed, Ibrar (Author), Smith, Gregory (Author) |
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ISBN: 1788474481 ISBN-13: 9781788474481 Publisher: Packt Publishing OUR PRICE: $46.54 Product Type: Paperback - Other Formats Published: April 2018 |
Additional Information |
BISAC Categories: - Computers | Databases - General - Computers | Data Modeling & Design |
Physical Information: 1.02" H x 7.5" W x 9.25" (1.90 lbs) 508 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Acquire and analyze data from all corners of the social web with Python Key Features
Book Description Your social media is filled with a wealth of hidden data - unlock it with the power of Python. Transform your understanding of your clients and customers when you use Python to solve the problems of understanding consumer behavior and turning raw data into actionable customer insights. This book will help you acquire and analyze data from leading social media sites. It will show you how to employ scientific Python tools to mine popular social websites such as Facebook, Twitter, Quora, and more. Explore the Python libraries used for social media mining, and get the tips, tricks, and insider insight you need to make the most of them. Discover how to develop data mining tools that use a social media API, and how to create your own data analysis projects using Python for clear insight from your social data. Style and approach This practical, hands-on guide will help you learn everything you need to perform data mining for social media. Throughout the book, we take an example-oriented approach to use Python for data analysis and provide useful tips and tricks that you can use in day-to-day tasks. What You Will Learn
Who This Book Is For This book is for intermediate Python developers who want to engage with the use of public APIs to collect data from social media platforms and perform statistical analysis in order to produce useful insights from data. The book assumes a basic understanding of the Python Standard Library and provides practical examples to guide you toward the creation of your data analysis project based on social data. |