Reference Books


How to Invent Everything: A Survival Guide for the Stranded Time Traveler

Author: Ryan North

What would you do if a time machine hurled you thousands of years into the past. . . and then broke? How would you survive? Could you improve on h…

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Python Tricks: A Buffet of Awesome Python Features

Author: Dan Bader

“I don’t even feel like I’ve scratched the surface of what I can do with Python” With Python The Book you’ll discover Python’s best practic…

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UML Distilled: A Brief Guide to the Standard Object Modeling Language

More than 300,000 developers have benefited from past editions of UML Distilled . This third edition is the best resource for quick, no-nonsense i…

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Machine Learning: A Probabilistic Perspective

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled d…

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Database Management Systems

Database Management Systems provides comprehensive and up-to-date coverage of the fundamentals of database systems. Coherent explanations and prac…

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Python Data Science Handbook: Essential Tools for Working with Data

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Sever…

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C++ Concurrency in Action: Practical Multithreading

Summary C++ Concurrency in Action is a reference and guide to the new C++ 11 Standard for experienced C++ programmers as well as those who …

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Programming PHP

Programming PHP, 2nd Edition, is the authoritative guide to PHP 5 and is filled with the unique knowledge of the creator of PHP (Rasmus Lerdorf) a…

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Elements of Information Theory 2nd Edition

The latest edition of this classic is updated with new problem sets and material The Second Edition of this fundamental textbook maintains …

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Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data s…

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