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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…mehr

Produktbeschreibung
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.

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Autorenporträt
John May is the Group Leader for Computer Science in the Center for Applied Scientific Computing (CASC) at the Lawrence Livermore National Laboratory. His interests include parallel programming models, performance analysis, parallel I/O, and parallel programming tools. He has served on the MPI-2 Forum, the High Performance Debugger Forum, and the Steering Committee of the Parallel Tools Consortium. Currently, he works on the Parallel Performance Improvement project, where he is investigating performance analysis techniques for massively parallel computers.

Dr. May joined LLNL in 1994 after receiving his Ph.D. in Computer Science from the University of California, San Diego. He also holds a BA in Physics from Dartmouth College. Prior to entering graduate school, he worked at AT&T (now Lucent) Bell Laboratories on optoelectronic device technology.