**A Computer Science Tapestry: Exploring Computer Science with C++**

by Owen L. Astrachan

**Publisher**: McGraw - Hill 1999**ISBN/ASIN**: 0072322039**ISBN-13**: 9780072322033**Number of pages**: 879

**Description**:

This book is designed for a first course in computer science that uses C++ as the language by which programming is studied. The goal has not been to cover the syntax of a large language like C++, but to leverage the best features of the language using sound practices of programming and pedagogy in the study of computer science and software design.

Download or read it online for free here:

**Download link**

(4.4MB, PDF)

## Similar books

**Computer Science Concepts in Scratch**

by

**Michal Armoni, Moti Ben-Ari**-

**Weizmann Institute of Science**

This book will familiarize you with the Scratch visual programming environment, focusing on using Scratch to learn computer science. Each concept is introduced in order to solve a specific task such as animating dancing images or building a game.

(

**8565**views)

**Introduction to High-Performance Scientific Computing**

by

**Victor Eijkhout**-

**University of Texas**

A computational scientist needs knowledge of several aspects of numerical analysis and discrete mathematics. This text covers: computer architecture, parallel computers, machine arithmetic, numerical linear algebra, applications.

(

**14307**views)

**Modern Information Systems**

by

**Christos Kalloniatis**-

**InTech**

This book may assist researchers on studying the innovative functions of modern information systems in various areas like health, telematics, knowledge management, etc. It can also assist young students in capturing the new research tendencies.

(

**11772**views)

**Building Blocks for Theoretical Computer Science**

by

**Margaret M. Fleck**-

**University of Illinois, Urbana-Champaign**

This book provides a survey of basic mathematical objects, notation, and techniques useful in later computer science courses. It gives a brief introduction to some key topics: algorithm analysis and complexity, automata theory, and computability.

(

**12830**views)