The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015

Learn to Code by Solving Problems is a practical introduction to programming using Python. It uses coding-competition challenges to teach you the mechanics of coding and how to think like a savvy programmer. Computers are capable of solving almost any problem when given the right instructions. That’s where programming comes in. This beginner’s book will have you writing Python programs right away. You’ll solve interesting problems drawn from real coding competitions and build your programming skills as you go. Every chapter presents problems from coding challenge websites, where online judges test your solutions and provide targeted feedback. As you practice using core Python features, functions, and techniques, you’ll develop a clear understanding of data structures, algorithms, and other programming basics. Bonus exercises invite you to explore new concepts on your own, and multiple-choice questions encourage you to think about how each piece of code works. You’ll learn how to: Run Python code, work with strings, and use variables Write programs that make decisions Make code more efficient with while and for loops Use Python sets, lists, and dictionaries to organize, sort, and search data Design programs using functions and top-down design Create complete-search algorithms and use Big O notation to design more efficient code By the end of the book, you’ll not only be proficient in Python, but you’ll also understand how to think through problems and tackle them with code. Programming languages come and go, but this book gives you the lasting foundation you need to start thinking like a programmer.

This elegant programming primer teaches K-12 students to code through more than 100 graded examples, each one illustrated in color. The second edition includes an appendix with a tutorial in CoffeeScript. Written by a computer scientist to teach his own children to program, the book is designed for inductive learning. The illustrated programs come with no expository text. Instead, the sequence of projects introduce increasingly sophisticated concepts by example. Each one invites customization and exploration. The book begins by suggesting a simple program to draw a line. Subsequent pages introduce core concepts in computer science: loops, functions, recursion, input and output, numbers and text, and data structures. The more advanced material introduces concepts in randomness, animation, HTML5, jQuery, networking, and artificial intelligence.

Bestselling Programming Tutorial and Reference Completely Rewritten for the New C++11 Standard Fully updated and recast for the newly released C++11 standard, this authoritative and comprehensive introduction to C++ will help you to learn the language fast, and to use it in modern, highly effective ways. Highlighting today’s best practices, the authors show how to use both the core language and its standard library to write efficient, readable, and powerful code. C++ Primer, Fifth Edition, introduces the C++ standard library from the outset, drawing on its common functions and facilities to help you write useful programs without first having to master every language detail. The book’s many examples have been revised to use the new language features and demonstrate how to make the best use of them. This book is a proven tutorial for those new to C++, an authoritative discussion of core C++ concepts and techniques, and a valuable resource for experienced programmers, especially those eager to see C++11 enhancements illuminated. Start Fast and Achieve More Learn how to use the new C++11 language features and the standard library to build robust programs quickly, and get comfortable with high-level programming Learn through examples that illuminate today’s best coding styles and program design techniques Understand the “rationale behind the rules”: why C++11 works as it does Use the extensive crossreferences to help you connect related concepts and insights Benefit from up-to-date learning aids and exercises that emphasize key points, help you to avoid pitfalls, promote good practices, and reinforce what you’ve learned Access the source code for the extended examples from informit.com/title/0321714113 C++ Primer, Fifth Edition, features an enhanced, layflat binding, which allows the book to stay open more easily when placed on a flat surface. This special binding method—notable by a small space inside the spine—also increases durability.

The classic programming guide for architects and clients-fully updated and revised. Architectural programming is a team effort that requires close cooperation between architects and their clients. Problem Seeking, Fourth Edition lays out a five-step procedure that teams can follow when programming any building or series of buildings, from a small house to a hospital complex. This simple yet comprehensive process encompasses the entire range of factors that influence the design of buildings.

The new edition of this Macintosh programming bestseller is updated to reflect the many recent changes in both Macintosh hardware and software, including System 7, new versions of THINK C and ResEdit, and the new machines. This is the only book that teaches Macintosh programming at a beginning level.

There are plenty of tutorials out there that teach how to program graphics cards to generate imagery. However, simply following tutorials alone will only get you so far. Understanding how a Graphics Processing Unit (GPU) works and the theory they're built on will make you a more effective graphics programmer. Think about it for a moment, if you understood how a machine works, what it can do and why, would you be better at using that machine? Absolutely! This e-book will give you this extra knowledge. Once you understand how the GPU works you'll be able to think creatively instead of blindly following tutorials. You'll think of better ways to achieve the results you want, and possibly even come up with new techniques. What's Inside The ebook doesn't try to cover everything in full detail. Instead, it covers the core fundamentals you need to get started: How the overall graphics pipeline works What shaders are, and how they're used The various types of data buffers (vertices, textures, etc.) How 3D objects and cameras are positioned in 3D space using matrix algebra Basic 3D lighting - the Phong lighting model Performance tips A cheat-sheet for common tasks using OpenGL ES 3, SDL2, and GLM A list of useful resources Also Included This e-book comes with a companion "Getting Started with OpenGL ES 3+ Programming" tutorial series. The tutorials cover the practical "how-to" side; taking you from zero to rendering a basic 3D scene with lighting. About the Author Hans de Ruiter is a software engineer with a background in computer vision and graphics. As a child/teenager he taught himself programming, constructed electronic circuits from kitsets, and also had a keen interest both science and in building things himself. He persued these interests further at university, going all the way through to a Ph.D. (at the University of Toronto). He's written both graphics software and graphics drivers, giving him a broad understanding of how modern graphics cards work.