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Data Science from Scratch: First Principles with Python (ebook)
By:
Joel Grus
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Nine Algorithms That Changed the Future: The Ingenious Ideas That Drive Today's Computers (Hardcover)
By:
John MacCormick
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Coders: The Making of a New Tribe and the Remaking of the World (Hardcover)
By:
Clive Thompson
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Learn SQL (using MySQL) in One Day and Learn It Well: SQL for Beginners with Hands-on Project
By:
Jamie Chan
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The Universal Computer: The Road from Leibniz to Turing (Hardcover)
By:
Martin D. Davis
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How Charts Lie: Getting Smarter about Visual Information (Hardcover)
By:
Alberto Cairo
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Web Scraping with Python: Collecting Data from the Modern Web (Kindle Edition)
By:
Ryan Mitchell
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Complex Network Analysis in Python: Recognize - Construct - Visualize - Analyze - Interpret (Kindle Edition)
By:
Dmitry Zinoviev
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R Markdown: The Definitive Guide (Chapman & Hall/CRC The R Series)
By:
Yihui Xie
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Data Visualization: A Practical Introduction (Paperback)
By:
Kieran Healy
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Learn Python 3 the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code (Zed Shaw's Hard Way Series)
By:
Zed A. Shaw
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Practical Statistics for Data Scientists: 50 Essential Concepts (Paperback)
By:
Peter Bruce
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Python 3.7 Data Analysis: : With Live Projects For Absolute Beginners (Kindle Edition)
By:
Narendra Mohan Mittal
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Programming Perl (Hardcover)
By:
Tom Christiansen
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Python for Everybody: Exploring Data in Python 3 (Kindle Edition)
By:
Charles Severance
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Strange Code: Esoteric Languages That Make Programming Fun Again (Paperback)
By:
Ronald T. Kneusel
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Text Mining with R: A Tidy Approach (Paperback)
By:
Julia Silge
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Learning Perl (Paperback)
By:
Randal L. Schwartz
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Turing's Vision: The Birth of Computer Science (Hardcover)
By:
Chris Bernhardt
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The Dreams of Reason: The Computer and the Rise of the Sciences of Complexity (Paperback)
By:
Heinz R. Pagels
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The Book of Batch Scripting: From Fundamentals to Advanced Automation (Kindle Edition)
By:
Jack McLarney
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Hands-On Programming with R: Write Your Own Functions and Simulations (Kindle Edition)
By:
Garrett Grolemund
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Bayesian Data Analysis (Hardcover)
By:
Andrew Gelman
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Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (Hardcover)
By:
Cathy O'Neil
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Pro Git (Expert's Voice in Software Development)
By:
Scott Chacon
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Introduction to Machine Learning with Python: A Guide for Data Scientists (Paperback)
By:
Andreas C. Müller
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Introduction to Algorithms (Hardcover)
By:
Thomas H. Cormen
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Penguin Random House Python Crash Course (Paperback)
By:
Eric Matthes
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Python Distilled (Kindle Edition)
By:
David Beazley
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R Packages: Organize, Test, Document, and Share Your Code (Kindle Edition)
By:
Hadley Wickham
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Head First JavaScript (Paperback)
By:
Michael Morrison
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Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People (Paperback)
By:
Aditya Y. Bhargava
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Neural Networks and Deep Learning (ebook)
By:
Michael Nielsen
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Dive Into Python 3 (Paperback)
By:
Mark Pilgrim
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Starting Out with Python (Paperback)
By:
Tony Gaddis
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Database Systems: A Practical Approach to Design, Implementation and Management (Paperback)
By:
Thomas M. Connolly
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Fluent Python: Clear, Concise, and Effective Programming (Paperback)
By:
Luciano Ramalho
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Hadoop: The Definitive Guide (Paperback)
By:
Tom White
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MySQL (OTHER NEW RIDERS)
By:
Paul DuBois
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Database Systems: The Complete Book (Hardcover)
By:
Hector Garcia-Molina
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Database Management Systems (Hardcover)
By:
Raghu Ramakrishnan
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Oracle 11g: PL/SQL Programming (Kindle Edition)
By:
Joan Casteel
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Guide to Oracle 10g (Paperback)
By:
Joline Morrison
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Python Programming for Data Analysis (Hardcover)
By:
José Unpingco
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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (Kindle Edition)
By:
Hadley Wickham
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Machine Learning with R (ebook)
By:
Brett Lantz
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Privacy is Power: Why and How You Should Take Back Control of Your Data (Hardcover)
By:
Carissa Véliz
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Python Machine Learning (Paperback)
By:
Sebastian Raschka