Programming Primer for the Macintosh®


Book Description

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.







Pascal on the Macintosh


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Turbo Pascal for the MAC


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Inside the Toolbox Using THINK Pascal


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Software -- Programming Languages.







Oh! Macintosh Pascal!


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Scientific Programming with Macintosh PASCAL


Book Description

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.