Welcome to data structure
for designers using Python. This is the second course. Let's do a little overview
of what we're going to be covering through this course. Remember that this course
builds upon our first course. This is going to be
a five week course. Each week, it's
around 8-10 lessons in the form of videos and
notebooks and we're going to start Week 1
exploring some of the most simple data structures such as lists and dictionaries. But we're going to do so also introducing some design
elements such as typography. We want to visually see what these data structures
are actually doing behind the hood so we're going to
be using typography and text in our compositions to visualize what they
actually contain, what the data
structures contain. Week 2 we're going to be
looking at grid structures. Not necessarily a
data structure, but we're going to be combining different ways of
storing data as lists or nested lists and
organizing the data spatially. That means that we will have
relationships between data. Things like neighbors are
going to be important, like how data could be thought as a spatial arrangement.
In this case, I agree. In Week 3, we're going to transition to start
discussing vectors and vector mat which is central for generative design
and design in general, really, when we want
to find points, move points around, use physics. There's a whole range of operations that we
can do working with vectors so it's going to be a very central lesson, Week 3. In Week 4, talking about important content and
important lessons, it's going to be an introduction to object oriented programming. This term is really a foundation on a type of a paradigm
behind programming. Specifically,
something like Python uses the paradigm of object
oriented programming, OOP stands for object
oriented programming. Really, it's the understanding of how we can design an object, a virtual object within our code and give certain
degree of autonomy and understand how that object
would actually relate to other objects in our
design environment. Finally, week number 5, we're going to further
expand on the notion of object oriented
programming making use of some more complex examples, really starting to
think of systems. How do objects interact
with other objects? How do we create interactions
between what we're designing and
ultimately starting to think of complex systems, things that maybe simple rules that yield
complex behavior. This is going to be the
foundation of a lot of degenerative design work has a foundation on complex systems. There's a lot of interesting
content to share here. Again, data structure for designers is a course
that builds upon our first foundation course in Python so it definitely scales up the degree
of difficulty. Feel free to go back and revisit that material if
you need more help. But having said that, we're ready to get started so I look forward to
seeing you in class.