Python is a general-purpose programming language that is used in many application areas, including web
development, scientific computing, graphical user interfaces, systems programming, gaming, rapid prototyping,
data mining, 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.
- Python Basics: types, variable, operations, control flow, iteration
- Functions, recursion, generators and scope
- Classes, objects, OOP programming
- Decorators and dynamic attributes
- The Python Data Model
- Modules, packages, & distribution
- Data structures in Python (lists, stacks, hash tables, queues, trees)
- An overview of the Python Standard library & ecosystem.
- Scientific computing and data manipulation (pandas, numpy, etc)
While there are no required textbooks for this course, the following books may be useful for reference:
- Python Distilled (1st Edition) -or- Python Essential Reference (4th Edition), by David Beazley
- Learning Python (5th Edition), by Mark Lutz
- Fluent Python (2nd Edition), by Luciano Ramalho (1st Edition OK)
- Python in a Nutshell (3rd Edition), by Martelli, Ravenscroft, and Holden