Editing Community Data Science Course (Spring 2023) (section)

=== Week 1: March 27 ===

Today we'll be getting software installed and getting setup with Python.

'''Class Schedule:'''

* Introduce ourselves to each other
* Class overview and expectations — We'll walk through this syllabus
** We'll decide how we're going to stay in touch outside of class sessions.
** We'll introduce the teaching team.
** We'll discuss an example of a successful final project from a previous version of the class.
* [[/Week 1 Exercise]] — You'll install software including the Python programming language and run through a series of exercises.
* Introduce [[/Week 1 coding challenges]]

'''By the end of class you will:'''

* Under the class plan and goals (at least as much as possible at this point!) 
* Have a working Python environment on your personal laptop.
* Have a GitHub account for turning in your coding challenges.
* Have an account on the class synchronous discussion system. 
* Have written your first program in the Python language. (!!!)
* Have learned a few basics about programming in Python including variables and lists.
* Be ready to start on Week 1 coding challenges. If all goes well, you'll start on them!

'''Programming challenges answers:'''

* [https://uw.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=f85d134d-fc3a-4cc3-b3b5-afda01621fe7 Video from class walking through the results]
* [https://github.com/kayleachampion/spr23_CDSW/blob/main/curriculum/week1/week1-programming_challenge_examples.ipynb Jupyter notebook with Kaylea's assembled list of examples from you along with notes]
* [https://github.com/kayleachampion/spr23_CDSW/blob/main/week1-homework/hill-week_01_coding_challenges-20230403.ipynb Jupyter notebook with Mako's answers to the programming challenges]