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We report here on a graph editor, ParaGraph, that supports massively parallel programming. It provides a flexible mechanism for the concise specification of families of annotated graphs, addressing the problems of user annotation and scale independent graph manipulation. ParaGraph currently serves as the basis for tools supporting communication abstractions in program specification and debugging. Its foundation in an extended form of aggregate rewriting graph grammars makes its adaptation to other parallel programming environments straightforward.

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Here we describe an introductory course in computer science where we combined Python, Processing, and core Java. The main reason for this structure was to make the initial contact with programming as gentle, enjoyable, and understandable as possible, while still having the power of graphics and sufficient Java knowledge for more advanced courses in computer science. This course was designed with a few informal pedagogical principles that facilitated the students' abilities to learn how to learn on their own. Informal results suggest that students may be interested in a greater diversity of programming assignments.

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