Programming Primer for the Macintosh®
Programming Primer for the Macintosh®

Author: John M. May

Publisher: Academic Press

Published: 2014-05-10

Total Pages: 302

ISBN-13: 1483265552

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Programming Primer for the Macintosh, Volume 1 focuses on the principles and operations of the Macintosh system. The publication first offers information on the development environment, creating a simple program with Symantec C++, and a review of C++. Discussions focus on pointers, handles, patterns, points, creating a source file, compiling the program, adding libraries, adding file to the subject, building an application, and useful tools. The text then takes a look at the Macintosh ROM, Mac programs and system software, and toolbox managers. Topics include menu, window, control, and dialog manager, alerts, desktop interface, event-driven programming, trap mechanism, interface and library files, stack frame incompatibility, and the relationship between an application and toolbox. The book examines QuickDraw, alerts, and dialogs, memory manager, and object-oriented programming. Concerns include structures, linked list example, new and delete operators, and handling lines, rectangles, round rectangles, ovals, arcs, and polygons The publication is a dependable reference for computer programmers and researchers interested in the Macintosh system.

Scientific Programming with Macintosh PASCAL
Scientific Programming with Macintosh PASCAL

Author: Richard E. Crandall

Publisher: *Wiley Press

Published: 1986-07-02

Total Pages: 292

ISBN-13:

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An advanced guide to Pascal programming on the Macintosh, emphasizing practical and useful applications in biology, chemistry, mathematics and physics. Developed in his courses at Read college, a member of the ``Apple University Consortium,'' Crandall's book takes advantage of the Macintosh's superior graphics and animation capabilities. It shows how to use the Mac's mouse and window technology for a range of applications, from 3-dimensional animation and drawings, to differential equations, physical models, and matrices. Features a wealth of pre-tested, powerful routines, covering such areas as statistics, mathematical physics and signal processing.