This course is no longer offered. However, you can find the course materials freely available online here.
Join David Beazley, author of the Python Essential Reference and Python Cookbook, for a foundational course on Python programming with a focus on the core language, data manipulation, programming environment, and script writing. You'll learn about data manipulation using Python's built-in datatypes, organizing code into functions, creating new objects with classes, and writing larger programs consisting of modules. Practical advice concerning coding practice, error handling, testing, and debugging are also prominent topics. Finally, the underpinnings of popular standard library modules and selected third-party extensions such as Numpy and Pandas are also described.
This course is best suited for people who want to greatly improve their Python skills by covering the language in a highly organized manner from first principles. If you've already learned some Python through the use of popular tools such as Jupyter, this course will expand your knowledge and help you write better code. If you're completely new to Python, but have experience with another programming language, this course will give you the important concepts you need to jump in and start coding.
The course is taught in a round-table format that is strictly limited to 6 students. Each course day consists of a mix of prepared presentation (35%) and hands-on programming exercises (65%). Participants should plan to spend at least 4-5 hours each day working on the exercises, discussing code with other participants, and using Python. The course is fully supported by a 400-page guidebook, exercise solutions, and materials to allow further review and study upon course completion.
The course is taught by David Beazley, author of the Python Essential Reference, 4th Edition (Addison Wesley) and Python Cookbook, 3rd Edition (O'Reilly Media). David has been actively involved with the Python community since 1996 and was one of the early pioneers of using Python with scientific software. From 1998-2005, he was an assistant professor in the Department of Computer Science at the University of Chicago. He has been actively developing and teaching the Practical Python Programming course since 2007.