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  • PostgreSQL 10 High Performance: Expert techniques for query optimization, high availability, and efficient database maintenance

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PostgreSQL 10 High Performance: Expert techniques for query optimization, high availability, and efficient database maintenance 3rd ed. Edition

by Enrico Pirozzi (Author), Ibrar Ahmed (Author), Gregory Smith (Author)
4.2 out of 5 stars (9)
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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.

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

  • 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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  1. ISBN-10
    1788474481
  2. ISBN-13
    978-1788474481
  3. Edition
    3rd ed.
  4. Publisher
    Packt Publishing
  5. Publication date
    April 30, 2018
  6. Language
    English
  7. Dimensions
    7.5 x 1.15 x 9.25 inches
  8. Print length
    508 pages
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Editorial Reviews

About the Author

Marco Bonzanini is a data scientist based in London, United Kingdom. He holds a PhD in information retrieval from Queen Mary University of London. He specializes in text analytics and search applications, and over the years, he has enjoyed working on a variety of information management and data science problems. He maintains a personal blog at http

//marcobonzanini.com, where he discusses different technical topics, mainly around Python, text analytics, and data science. When not working on Python projects, he likes to engage with the community at PyData conferences and meet-ups, and he also enjoys brewing homemade beer.

Product details

  • Publisher ‏ : ‎ Packt Publishing
  • Publication date ‏ : ‎ April 30, 2018
  • Edition ‏ : ‎ 3rd ed.
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 508 pages
  • ISBN-10 ‏ : ‎ 1788474481
  • ISBN-13 ‏ : ‎ 978-1788474481
  • Item Weight ‏ : ‎ 1.91 pounds
  • Dimensions ‏ : ‎ 7.5 x 1.15 x 9.25 inches
  • Best Sellers Rank: #3,528,919 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.2 out of 5 stars (9)

About the authors

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  1. Ibrar Ahmed

    Ibrar Ahmed

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    **Ibrar Ahmed** is a seasoned Principal Engineer at pgEdge, bringing a wealth of experience in software design and development to the world of open source. With a strong background in system-level embedded development, Ibrar has honed his expertise over the years with renowned PostgreSQL companies such as EnterpriseDB, Percona, and Bitnine.

    Having embarked on his journey with PostgreSQL since 2006, Ibrar has become intricately involved in the core engine of PostgreSQL, making significant contributions to its evolution. From spearheading major performance enhancements to refining various PostgreSQL modules, his dedication to advancing the platform has left an indelible mark on the PostgreSQL community.

    Beyond PostgreSQL, Ibrar's proficiency extends to a multitude of databases, including MySQL, Oracle, and cutting-edge NoSQL technologies like MongoDB and Hadoop. His expertise isn't confined solely to databases; he possesses adeptness with related tools such as Hive, HBase, and Spark, seamlessly integrating them with PostgreSQL to unlock new possibilities in data management and analytics.

    Recognized for his depth of knowledge and insight, Ibrar has authored multiple authoritative books on PostgreSQL and is a highly regarded blogger within the PostgreSQL community, sharing valuable insights and best practices with a global audience. With a passion for innovation and a commitment to excellence, Ibrar Ahmed continues to drive forward the boundaries of database technology, shaping the future of data management in the digital age.

    See more on the author's page
  2. Enrico Pirozzi

    Enrico Pirozzi

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    Full content visible, double tap to read brief content.

    Enrico Pirozzi has been passionate about computer science since he was a 13-year-old, his first computer was a Commodore 64, and today holds a master's degree from the University of Bologna. He has participated as a speaker at national and international conferences on PostgreSQL. He met PostgreSQL back in release 7.2; he was a co-founder of the first PostgreSQL Italian mailing list and the first Italian PostgreSQL website, he talks at technical conferences and events and delivers professional training at pgtraining.com. Right now he is employed as PostgreSQL Database Administrator at nexteam.it, a funny and intersting place where an hacker can work.

    See more on the author's page
  3. Gregory Smith

    Gregory Smith

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    Full content visible, double tap to read brief content.

    Gregory Smith is the principal consultant in the United States for international PostgreSQL services firm 2ndQuadrant. Based in Baltimore, MD, he's been providing database advice to clients in industries like manufacturing, finance, and web development for twenty years. Dedicated to open-source technology since early in his career, Greg turned to full-time PostgreSQL work by diving in at the source code level. He contributes regular feature patches to the core database and has written a variety of database tools. This book reflects the perspective that he's gained over the last few years as one of the most prolific sources of advice on the popular PostgreSQL community mailing lists.

    See more on the author's page
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Customer reviews

4.2 out of 5 stars
9 global ratings

Top reviews from the United States

  • Dustin J. Mitchell
    2.0 out of 5 stars Some useful info, but not great
    Reviewed in the United States on January 20, 2020
    Format: PaperbackVerified Purchase
    First, despite the "10" in the title and the 2018 publication date, most of this book is based on Postgres 8.3 (2008) with mentions of 9.4 (2014) and occasional reference to 10 (2017) in a future-y wild-west kind of way. It also spends a good bit of time talking about hardware selection, including details of some now-rather-outdated processor architectures (Nehalem, 2008), good old 7200RPM spinning-rusty disks, and fancy "new" (2007) DDR3 RAM -- yet if you're deploying a DB today, it's probably hosted in a cloud, making all of those considerations are moot. So if you're looking to catch up on the latest developments in Postgres, keep looking.

    Second, this book is un-edited. Not poorly edited, no: from the authors keyboards to your eyes, with all of the omitted words, stray newlines, weird formatting, and nonsenical statements that an author trying to make a deadline will write. Sadly, I think this is the state of this genre of books these days: editors are expensive! So if you're planning to study the content carefully in hopes of understanding the nuances of MVCC or VACUUM FULL, you'll be scratching your head over nothing. I suggest you skip the book and go straight to the web.

    Having said all that, if you'd like an overview of the things that experienced Postgres DBAs think about, along with some high-level advice ("tweak this setting when..", "this sounds great but has the following downsides..") then this might be worth picking up.
    3 people found this helpful
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  • Justin Pryzby
    3.0 out of 5 stars Latest version still outdated and various forms of errors
    Reviewed in the United States on September 26, 2018
    Format: Kindle
    The book is okay, and has a bunch of good information consolidated in one place.

    But it's also full of the same typos as the original book for 9.0, having apparently not been passed through basic nor technical editor, proofreader, nor review.

    And still has a bunch of outdated information from the postgres8.3 and 9.0 days when the book was first authored. For example, in the span of 5 paragraphs, we read, first: "...we can use multiple cores for every single query...", then, "...PG does not allow splitting a single query across more than one core...".

    What's the point of an update for v9.6 and then v10 if it's not done well and to completion ?
    13 people found this helpful
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