PostgreSQL 10 High Performance - Third Edition: Expert techniques for query optimization, high availability,

Acquire and analyze data from all corners of the social web with Python

Key Features

Make sense of highly unstructured social media data with the help of the insightful use cases provided in this guide

Use this easy-to-follow, step-by-step guide to apply analytics to complicated and messy social data

This is your one-stop solution to fetching, storing, analyzing, and visualizing social media data

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.

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

Interact with a social media platform via their public API with Python

Store social data in a convenient format for data analysis

Slice and dice social data using Python tools for data science

Apply text analytics techniques to understand what people are talking about on social media

Apply advanced statistical and analytical techniques to produce useful insights from data

Build beautiful visualizations with web technologies to explore data and present data products

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.

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