Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming language interpreter and several packages from the huge Python Library that improve the performance of numerical computing, such...
Welcome to Visual C#® 2012 and the world of Microsoft® Windows® and Internet and web
programming with Microsoft’s .NET platform. Please read the book’s back cover and inside back
cover—these concisely capture the book’s essence. In this Preface we provide more details.
Inspired by the groundbreaking A History of the World in 100 Objects, this book draws on the unique collections of The Strong museum in Rochester, New York, to chronicle the evolution of video games, from Pong to first-person shooters, told through the stories of dozens of objects essential to the field’s creation and...
Elaine Marieb After receiving her Ph.D. in
zoology from the University of Massachusetts at
Amherst, Elaine N. Marieb joined the faculty of the
Biological Science Division of Holyoke Community
College. While teaching at Holyoke Community
College, where many of her students were pursuing
nursing degrees, she developed a...
For introductory courses in C Programming. Also for courses in Programming for Engineers, Programming for Business, and Programming for Technology.
The Deitels' How to Program series offers unparalleled breadth and depth of object-oriented programming concepts and intermediate-level topics for further study. Using the...
"The book presents a welcome selection and careful exposition of material that can be (and is) covered in a single course...In this reviewer's opinion, this would be an interesting text to use with a group of advanced students well-grounded in undergraduate mathematics and computer science, and would produce a valuable course for the...
This introduction to numerical analysis shows how the mathematics of calculus and linear algebra are implemented in computer algorithms. It develops a deep understanding of why numerical methods work and exactly what their limitations are....
Mike Driscoll takes you on a journey talking to a hall-of-fame list of truly remarkable Python experts. You'll be inspired every time by their passion for the Python language, as they share with you their experiences, contributions, and careers in Python.
In recent years the subject of computer programming has been recognized as a discipline whose mastery
is fundamental and crucial to the success of many engineering projects and which is amenable to
scientific treatement and presentation. It has advanced from a craft to an academic discipline. The initial
outstanding contributions...
With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical details to a minimum, the book covers key topics, including both discrete and continuous time data, parametric proportional...
Developed by Jean-Paul Benzérci more than 30 years ago, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe. The topicality and importance of correspondence analysis continue, and with the tremendous computing power now available and new fields of application emerging, its...
