Learning Outcomes Explain fundamental concepts for algorithmic searching and sorting Describe heap data structures and analyze heap components, such as arrays and priority queues Design basic ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Once you’ve got these basics, you’ll be ready to learn about searching and sorting with one-dimensional arrays, in Part 2. What is a data structure?

Description The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and ...

Development of more sophisticated ideas in data type and structure, with an introduction to the connection between data structures and the algorithms they support. Data abstraction. Controlled access ...