[  ] Workshop Title

Generative X: Learning Python in GH with Generative Design

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[  ] Key Software / Tech to be taught

Python (Basic to Functional Programming), Python Packages, Grasshopper3D, GHPython Remote, Anaconda 3, Add-on Developing

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[  ] Workshop Description

While we are heading to have every element intelligent conflated by data and cutting edge technologies, there is a huge consideration on how to deal with this evolving through Design, Engineering and Construction, like any other expertise. For at least a decade now, moving along with integration has been expedited and we could declare its overshadowing role playing since technology has been evolved by Artificial Intelligence. It could let us dive in deeper layers of cognition in algorithmic thinking by having functional paradigms of every process gets/sets impact from/to our design. Functional paradigms are dedicated to any parametric connectivity from major factors have impacts on the qualification of the design. There is always a “but” in any process delivery and here it is. The prime quandary many people struggle with to face BUZZ words would confine the flourishing of creativity, however, we need to develop our skills in order to move by the celerity of the recent progressions concomitantly. The answer cannot be stated expansively, thus we need to imbibe and disseminate the knowledge in practice back and forth to get to the pinnacle of having the cumulated empiricism divergently burgeoned. This is what the Generative X is looking for to afford the participants who are into computational design about how to use Python in Generative Design processes amplified by data manipulation.

 

Learning Python should be occurred within acquainted processes for designers. There are many extraordinary courses about learning how to code from the very first infancy to get being like a Hulk. Yet, what is desideratum for designers in learning how to code would be catching it within a high level of attentiveness with a cutting edge technology in their own field rather than enrolling in courses being taught by other discipline tutors. Accordingly, it could guarantee their achievement of learning more construal. Therefore, Generative X is came up to be retractable and more of an excel experience for participants. The whole process will be commenced by Basic Python heading to how to use RhinoScriptSyntax, RhinoCommon and will be followed by using Anaconda to data manipulation with Python Packages. This is to define an algorithm to read an image pixel by RGB codes and track them with Alpha mode toward the setting of a surface subdivision. The later steps are dedicated to having these data as a mesh points controllable by number sliders for the user to change the meshing parameters and have the process toward a 3d structure on free form surfaces as structural elements. The final part would settle the discussion for participants meticulously by leaning them through functional programming by implementing Classes and Definitions in Python. This is the last part which defines an open source add-on named GeneOp 0.85 developed by the tutor. GeneOp uses GHPython only to provide an open access Genetic Algorithm optimization process within the GH itself.

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[  ] Keywords 

#Coding #Python #Functional_Paradigms #GenerativeDesign #GeneticAlgorithm #Optimization #FreeForm_Structures #Computational_Design

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[  ] Workshop Duration & Type

Duration: 2 DAYS // 7 Hours on both days (incl. of breaks)

Type: Interactive Tutorial Workshop

 

[  ] Detailed Schedule

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11:30 AM - 7:30 PM GMT

 

Day 1:

Session 01: Introduction to Workshop, Tutor's Presentations, Induction to Generative Design

Session 02: Introduction to Python Coding, Grasshopper Interface with Python

 

Day 2:

Session 03: Hands on exercises with Python & Conda, Scripting Methods

Session 04: Collaborative Project with Python for GH, Add-on tool-sets, Gene Op Optimization

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