Name: Designing Data-Intensive Application
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PHP & MySQL The Missing Manual by Brett McLaughlin. 2013 O’Reilly 2nd edition. ISBN 9781449325572
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Data Science From Scratch

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Product information
Publisher	‎O'Reilly Media; 1st edition (May 2, 2017)
Language	‎English
Paperback	‎611 pages
ISBN-10	‎1449373321
ISBN-13	‎978-1449373320

With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

Peer under the hood of the systems you already use, and learn how to use and operate them more effectively
Make informed decisions by identifying the strengths and weaknesses of different tools
Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity
Understand the distributed systems research upon which modern databases are built
Peek behind the scenes of major online services, and learn from their architectures

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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable,

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Web Scraping with Python : Collecting Data from the Modern Web by Ryan Mitchell

This book, "Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems," by Martin Kleppmann, is a must-read for anyone interested in designing data-intensive systems. It covers various aspects of the subject, including data modeling, storage, processing, and analysis. The book is published by O'Reilly, Inc. in 2017 and has 614 pages. It is a trade paperback with dimensions of 9.1 x 7 x 1.2 inches and a weight of 35.6 ounces. The book is written in English and is categorized under Books & Magazines, Textbooks, Education & Reference, and Textbooks.

Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,

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18 books total, a few duplicate copies. Would prefer to sell as a whole lot but will considered individual purchases. Please inquire with questions. Lot retails for around $390 on amazon.

O'Reilly Books

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Product information
Publisher	‎O'Reilly Media; 1st edition (May 2, 2017)
Language	‎English
Paperback	‎611 pages
ISBN-10	‎1449373321
ISBN-13	‎978-1449373320

With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

Peer under the hood of the systems you already use, and learn how to use and operate them more effectively
Make informed decisions by identifying the strengths and weaknesses of different tools
Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity
Understand the distributed systems research upon which modern databases are built
Peek behind the scenes of major online services, and learn from their architectures

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Functional JavaScript, written by Michael Fogus, is a comprehensive guide to programming in a functional style using the JavaScript language. The book starts with the basics of functional programming and gradually moves on to more advanced topics, such as currying, composition, and monads. The author uses a practical approach, showing readers how to solve real-world problems using functional programming techniques. The book also covers the functional programming features introduced in ES6, including arrow functions and the spread operator. With its clear explanations and numerous examples, Functional JavaScript is an essential resource for JavaScript developers who want to write more concise, efficient, and maintainable code.

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About the Author:
Barbara Brundage is an Adobe Community Professional and a member of Adobe's prerelease groups for Photoshop Elements versions 3 through 10. She's been teaching people how to use Elements since it first came out in 2001. Barbara first started using Elements to create graphics for use in her day job as a harpist, music publisher, and arranger. Along the way, she joined the large group of people finding a renewed interest in photography thanks to digital cameras. If she can learn to use Elements, you can, too! Visit her blog at http://barbarabrundage.com for tips on using Photoshop Elements.

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Discover the essential companion for mastering Python programming with "Python In A Nutshell: A Desktop Quick Reference Guide." This comprehensive paperback book serves as an indispensable resource for both beginners and seasoned Python developers seeking quick access to key concepts, syntax, and best practices.


Target Audience:

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Intermediate and Advanced Developers: Serves as a handy reference for mastering complex Python concepts and optimizing code.

Normal shelf wear on the edges of the book. Scuff marks on the bottom of the book, please refer to pictures.

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Data science for Business textbook

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The Art of SEO
By: Eric Enge, Stephan Spencer, and Jessie C. Stricchiola 
3rd Edition
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New Condition  50+ Essential Concepts Using R and Python by Peter Bruce, Andrew Bruce & Peter Gedeck.  Statistical methods in data science. synopsis "Why exploratory data analysis is a key preliminary step in data science
How random sampling can reduce bias and yield a higher-quality dataset, even with big data
How the principles of experimental design yield definitive answers to questions
How to use regression to estimate outcomes and detect anomalies
Key classification techniques for predicting which categories a record belongs to
Statistical machine learning methods that "learn" from data
Unsupervised learning methods for extracting meaning from unlabeled data.

Practical Statistics for Data Scientists 2020 Paperback ISBN: 9781492072942

New Condition in plastic  Paperback Synopsis "Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks."

Essential Math for Data Science by Thomas Nield 2022 ISBN 9781098102937

Oracle PL/SQL Programming : Covers Versions Through Oracle Database 11g Release

If you want to understand the theory of machine learning this book is for you. Book is like new, excellent Condition with pristine pages. 

If you want to ship through media mail, please message me so I can adjust the post before purchase. 

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Hands-on Machine Learning with Scikit-Learn, Keras & Tensorflow

Designing Data-Intensive Application book (brand new)

Designing Data-Intensive Application

Oracle SQL*Plus by Jonathan Gennick (1999, Trade Paperback)

Jonathan Stark building iPhone apps with HTML CSS and JavaScript

iPhone apps with HTML CSS and JavaScript

Building Scalable Web Site

New Condition.  The Big Ideas Behind Reliable, Scalable, and Maintainable Systems  by Martin Kleppmann   Publish by O'Reilly   ISBN 9781449373320  Synopsis "Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?

In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in...

Designing Data-Intensive Applications, The Big Ideas Behind Reliable, Scalable,

Pre-owned red white black pocket guide
249 pages

Linux pocket guide

Writing Apache Modules with Perl and C (Paperback or Softback).
Good Condition pre-owned.
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O'Reilly Promotions The Gruffalo Reference Books

O'Reilly Promotions The Gruffalo Reference Books

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