The new and greatly expanded second edition of the highly popular Numerical Recipes in C features over 100 new routines and upgraded versions of the original routines. The book remains the most practical, comprehensive handbook of scientific computing available today.

These are the independent sites who have offered to mirror the books Thinking in C++, 2nd Edition, Thinking in Java, 1st and 2nd Editions, and Thinking in Patterns, all of which include source code. Make sure you check the contents of the sites against the Master Download Site (below); there is no guarantee that the mirror sites have been updated to include the most recent files.

Book Download Sites

The goal of this book is to teach you to think like a computer scientist. I like the way computer scientists think because they combine some of the best features of Mathematics, Engineering, and Natural Science. Like mathematicians, computer scientists use formal languages to denote ideas (specifically computations).The single most important skill for a computer scientist is problem-solving. As it turns out, the process of learning to program is an excellent opportunity to practice problem-solving skills. That's why this chapter is called "The way of the program." Of course, the other goal of this book is to prepare you for the Computer Science AP Exam. We may not take the most direct approach to that goal, though. For example, there are not many exercises in this book that are similar to the AP questions. On the other hand, if you understand the concepts in this book, along with the details of programming in C++, you will have all the tools you need to do well on the exam. See also Python and Java versions.

This is not a introduction to programming. The book is designed for programmers who already have some experience of using a modern high-level procedural programming language. As we explain later, C isn't really appropriate for complete beginners—though many have managed to use it—so the book will assume that its readers have already done battle with the notions of statements, variables, conditional execution, arrays, procedures (or subroutines) and so on. Instead of wasting your time by ploughing through tedious descriptions of how to add two numbers together and explaining that the symbol for multiplication is *, the book concentrates on the things that are special to C. In particular, it's the way that C is used which is emphasized.

This book describes an alternate class methodology that provides complete data hiding and fault-tolerant run-time type checking of objects in C programs. With it, you will produce code that contains fewer bugs. The class methodology helps to prevent bugs by making it easier to write C code. It does this by eliminating data structures (class declarations) from include files, which makes a project easier to understand (because there is not as much global information), which makes it easier to write C code, which helps to eliminate bugs. This class methodology, which uses private class declarations, is different from C++, which uses public class declarations. We have all, at some point in our programming careers, spent several hours or days tracking down a particularly obscure bug in our code. Have you ever stepped back and wondered how following a different programming methodology might have prevented such a bug from occurring or have automatically detected it? Or have you tracked down the same type of bug several times?