Computing Form and Shape - Python Programming with the Rhinoscript Library

Overview

Learners will develop, analyze and critique algorithmic approaches to digital drawing, modeling, and projection. Specifically, the powerful and robust Python Rhinoscript library will be introduced and explored in detail. This library allows Rhinoceros, the popular 3D graphics and computer-aided design (CAD) modeling software to be scripted with text-based code. Scripting in this manner can automate existing processes and can lead to novel kinds of relationships, and orders of shape and form.

Architects, sculptors, and any artist or designer interested in either fabrication or communication of form and shape will recognize the importance of projection–the the transformation of three-dimensional geometry onto a two-dimensional picture plane, cut sheet, paper, or screen. As a result, the Computing Form and Shape - Python Programming with the Rhinoscript Library course offered by the Kadenze platform focuses not only on the generation of geometry, but the output of geometry.

In parallel to extending learners' technical proficiency, this course will touch on the conceptual and theoretical implications of algorithmic design. Each of the five lessons will build upon each other to develop an understanding of the Python language, algorithmic strategies, and digital geometric craft (the interrelated structures and topologies that make up digital models).

Learning Outcomes

Programming strategy

• Ability to incorporate scripting into various digital modeling workflows.

• Ability to create scripts for themselves, and adapt them to function as design tools for others. Students understand the practical implications of thinking and working with algorithms.

Technical proficiency

• Capacity to program in the Python programming language with an understanding of the Rhinoscript Python library and its documentation.

• Understanding of the geometric foundations of basic Rhino topologies and their relationships to one another via the Rhinoscript library.

Algorithmic thinking

• Mastery of the ideas and structures that underpin procedural algorithms common to all programming languages: loops, conditionals, abstraction, and serialized data structures.

• Understanding of the theoretical implications of thinking and working with algorithms.