Data Science Foundations

Contains more than 700 participation activities including questions, animations, tools and over 150 auto-graded programming challenge activities using built-in programming environment. Includes focus on solid understanding of memory usage and pointers, configurable sections to support early/late introduction to functions and objects, and additional material like arrays and structs. Web-based programming practice environment compiles and executes code in the zyBook.

Data Science Foundations with Python

Contains more than 700 participation activities including questions, animations, tools and over 150 auto-graded programming challenge activities using built-in programming environment. Includes focus on solid understanding of memory usage and pointers, configurable sections to support early/late introduction to functions and objects, and additional material like arrays and structs. Web-based programming practice environment compiles and executes code in the zyBook.

zyLab Autograder, with Free Sample Labs for Data Science Foundations: Python

Program auto-grader for Java programming language that can be used standalone or can be integrated with any zyBook. Allows instructors to create labs in minutes with easy to use editor that features simple form-based creation with no scripting required. Supports I/O and unit testing and configurable options include submission limits, metering, and more. Numerous sample labs are available.