Graph data structures and algorithms : implement graphs in Python.

Format:

Video

Contributor:

Karimov, Elshad, instructor.

O'Reilly (Firm), publisher.

Language:

English

Subjects (All):

Python (Computer program language).

Data structures (Computer science).

Physical Description:

1 online resource (1 video file (2 hr., 48 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Sebastopol, California] : O'Reilly Media, Inc., 2024.

Summary:

Dive into the intricate world of graphs with our comprehensive course designed to equip you with the foundational and advanced skills of graph theory, graph data structures, and algorithms. This topic holds paramount importance as graphs are everywhere in today's data-driven era, from social networks and the internet to biological networks and beyond. Understanding graph theory and algorithms is not only a pathway to decipher the complex, interconnected data world but also a vital skill to enhance efficiency and innovation in various professional realms. In the first module, unravel the basics of graph theory and structures, steering from understanding ‘What is a Graph’ to practical implementations like creating, adding, and removing vertices and edges using Python. The second module is tailored to unfold the intricacies of Graph Traversal, emphasizing Breadth and Depth First Searches, and contrasting their utilities and applications. The third module catapults you into the realm of advanced graph algorithms including Topological Sort and shortest path algorithms like Dijkstra's, Bellman Ford, and Floyd Warshall.

Notes:

OCLC-licensed vendor bibliographic record.

OCLC:

1439050543

Publisher Number:

0636920947899