Discover Python Data Structures in Rice’s Course 2

DESCRIPTION

Python Data Representations (Course 2)

Expand your programming essentials and discover the data structure of Python. This course takes you beyond the basics, exploring multiple data types like strings, lists, and tuples that will allow you to manage data effectively. You will also explore file access, including storing, retrieving, and processing data within your programs. By the end of the course, you will be able to write more complex code using Python 3 and access data stored in files. This course navigates away from CodeSkulptor, transitioning to a desktop Python development environment.

Who should attend:

Anyone looking to advance their knowledge of data analysis and coding using Python 3
Intermediate coders looking to move from python 2 to Python 3
Anyone interested in exploring multiple data types in Python

You will be able to:

Work with core Python data structures to manipulate data
Access and process data stored in files to create programs that can read, write, and modify file content
Develop and run Python 3 programs

LECTURE SAMPLES

MEET YOUR RICE PROFESSOR

Scott Rixner

Scott Rixner is a Professor of Computer Science at Rice University. His research spans virtualization, operating systems, and computer architecture, with a specific focus on memory systems and networking. He concentrates on the intersection of hardware and software, working to develop system software that better exploits modern hardware and to develop hardware that simplifies system software. He is also well versed in the internals of the Python programming language, as he has developed Python interpreters for both embedded systems and web browsers. His work has led to 11 patents and has been implemented within several open-source systems. He has also been actively involved in curriculum development and oversight at Rice, having served on or led the curriculum committees for the University, School of Engineering, and Department of Computer Science. He is currently helping to lead the Master of Computer Science (100% Online) and Master of Data Science (100% Online) degree programs. Prior to joining Rice, he received his Ph.D. from MIT.

Joe D. Warren

Joe Warren is a Professor in the Department of Computer Science at Rice University. His main area of research interest is computer graphics and geometric modeling, where he has published extensively. He is the author of the book Subdivision Methods for Geometric Design. He also has a love for computer gaming, both playing games and teaching students how to build them. He has taught the Department’s Introduction to Game Creation course as well as its senior-level game design course in collaboration with Houston game professionals for over a decade.

Joe has led the development of several award-winning specializations on introductory programming on Coursera. Joe was an undergraduate at Rice from 1979-1983 and received his Ph.D. from Cornell in 1986. He has been a professor at Rice ever since and served as the Chair of the Department from 2008-2013.