Python is a general-purpose programming language that is used in many application areas, including data science, machine learning/AI, web development, scientific computing, graphical user interfaces, systems programming, gaming, rapid prototyping, and more. This course provides a thorough overview of the Python 3 language with an emphasis on writing idiomatic code in Python and object-oriented design patterns and is suitable for students with some prior programming experience. We will develop an understanding of the core features of the languages and gain exposure to commonly used standard-library and third-party modules.
Weekly classes will provide lectures, programming examples, and code review from previous assignments. Eight multi-part assignments will be given with one week for completion. A midterm and final examination will also be given.
You are strongly encouraged to bring a laptop to class to follow along with examples interactively.
- Week 1: The basics of Python
- Week 2: Expanding on the basics
- Week 3: Functional programming
- Week 4: Classes and object-oriented programming
- Week 5: The Python data model
- Week 6: Properties and decorators (Mid-term)
- Week 7: Modules and packages
- Week 8: Testing, documentation, and style
- Week 9: Parallelism and concurrency
- Week 10: Miscellaneous/special topics
While there are no required textbooks for this course, the following books may be useful for reference:
- Learning Python, by Mark Lutz
- Fluent Python, by Luciano Ramalho
- Python in a Nutshell, by Martelli, Ravenscroft, and Holden
- Python Essential Reference, by David Beazley