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Community Data Science Course (Spring 2023)
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=== Week 5: April 24 === Today we'll be using Python to read and write files from disk and walk through an API project from start to finish. '''Class session:''' * [https://uw.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=8dff4630-e718-489c-a0c3-afef01525285 Video of announcements and week 4 programming challenges] [Requires Canvas Access] * [https://uw.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=8133566f-217d-4e45-b3c9-afef0152528b Video of week 5 lecture] * [[/Week 5 lecture notes]] * Notebooks from the lecture including: ** [https://github.com/kayleachampion/spr23_CDSW/blob/main/curriculum/week5/week_5_lecture_part_1-data_collection.ipynb Week 5 lecture notebook part 1] - Data Collection ** [https://github.com/kayleachampion/spr23_CDSW/blob/main/curriculum/week5/week_5_lecture_part_2-data_processing.ipynb Week 5 lecture notebook part 2] - Data Processing ** [https://github.com/kayleachampion/spr23_CDSW/blob/main/curriculum/week5/week-5-lecture_pre-baked_workthrough-20230424.ipynb Week 5 lecture notebook (prebaked)] β A combination of the ideas from both notebooks above with the version of the code that I wrote as notes for myself before the class. '''Assignment Due:''' * Finish and turn in your [[/Week 4 coding challenges]] (Due Sunday before class) '''Resources:''' * Read selections of chapter 13 from ''Python for Everyone'': ** [https://www.py4e.com/html3/13-web Chapter 13, Python and Web Services] β sections on "JavaScript Object Notation - JSON", "Parsing JSON", and "Application Programming Interfaces" '''Class schedule:''' * Go over the [[/Week 4 coding challenges]] * [[/Week 5 lecture notes]] introducing some new concepts and walking through a project from start to finish * Introduce the [[/Week 5 coding challenges]] * Project timeβWe'll work through projects
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