Elective: Python Programming for Data Scientists
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Syllabus
Session
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1. Getting Started with Python: Working with Data
2. Flow Control
3. Data Structures
4. Functions
5. Project Pitches
6. Packages, Modules and Files
7. Object Oriented Programming I
8. Object Oriented Programming II
9. OOP Case Study
10. Unit Tests and Documentation
11. Algorithm Analysis and Big-O Notation
12. Project Presentations
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Object Oriented Programming Part I
Learning Objective
Learning about object oriented programming: classes, objects, attributes and methods
Required Readings
Chapter 8: Python Programming for the Absolute Beginner by Michael Dawson
Optional Readings
http://greenteapress.com/thinkpython2/html/thinkpython2018.html
http://greenteapress.com/thinkpython2/html/thinkpython2019.html