Building fast and highly performant data science applications ... perform operations such as sorting, searching, and indexing. This online data science specialization will teach you the fundamentals ...

The Python programming language ... store will comprise data that is not ordered. Sorting algorithms allow programmers to either rearrange data structures, ordering them by value, or to copy ...

Finally, we will study the priority queue data structure and showcase some applications. We will go through the quicksort and quickselect algorithms for sorting and selecting the kth smallest element ...

Introduction to the fundamental principles of data structures and algorithms ... incremental and recursive algorithms, divide-and-conquer, greedy algorithms, randomisation in algorithms, sorting ...

I see it time and again in Google interviews or new-grad hires: The way data structures and algorithms — among the most important subjects in a proper computer science curriculum — are learnt ...

data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search trees, hash tables, priority queues, graphs, shortest paths, ...

“It’s important to understand these kinds of data structures better. You don’t know when a result like this will unlock something that lets you do better in practice.” For Algorithms, a Little Memory ...

An introduction to the analysis and implementation of algorithms and data structures including linear data structures, trees, graphs, hash tables, searching algorithms, sorting algorithms, ...