The Last Algorithms Course You’ll Need (V1 & V2) | Frontend Masters
Quote from tut4sec on July 4, 2025, 9:57 am[center][img]https://i.imgur.com/NBTJSu4.png[/img][/center]
[center][b]The Last Algorithms Course You’ll Need (V1 & V2) | Frontend Masters[/b]
English | Size: 7.57 GB
Genre: eLearning[/center][b]The Last Algorithms Course You’ll Need (Part 1) (Version 1)[/b]
Welcome to a super fun, beginner-friendly data structures and algorithms course. Is it really the last algorithms course you’ll need? If you want to pass tough interview questions, then yes! You’ll learn big o time complexity, fundamental data structures like arrays, lists, trees, graphs, and maps, and searching and sorting algorithms.
Published: September 12, 2022
[b]The Last Algorithms Course You’ll Want (Part 2) (Version 2)[/b]
Advance your algorithmic skills with an in-depth exploration of essential data structures and algorithms. Delve into binary and M-Way search trees, AVL and red-black trees, understanding their insertions, deletions, and balancing mechanisms. Master graph theory, from basic concepts to complex traversals like breadth-first and depth-first searches, and algorithms including Prim’s and Kruskal’s. Learn dynamic programming with real-world examples like factorial, Fibonacci, and the coin change problem. The course concludes with practical applications of Bloom Filters, offering insights into efficient data handling and optimization techniques.
Published: January 22, 2024
[center][img]https://i.imgur.com/yMNlxlr.png[/img][/center]
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English | Size: 7.57 GB
Genre: eLearning
The Last Algorithms Course You’ll Need (Part 1) (Version 1)
Welcome to a super fun, beginner-friendly data structures and algorithms course. Is it really the last algorithms course you’ll need? If you want to pass tough interview questions, then yes! You’ll learn big o time complexity, fundamental data structures like arrays, lists, trees, graphs, and maps, and searching and sorting algorithms.
Published: September 12, 2022
The Last Algorithms Course You’ll Want (Part 2) (Version 2)
Advance your algorithmic skills with an in-depth exploration of essential data structures and algorithms. Delve into binary and M-Way search trees, AVL and red-black trees, understanding their insertions, deletions, and balancing mechanisms. Master graph theory, from basic concepts to complex traversals like breadth-first and depth-first searches, and algorithms including Prim’s and Kruskal’s. Learn dynamic programming with real-world examples like factorial, Fibonacci, and the coin change problem. The course concludes with practical applications of Bloom Filters, offering insights into efficient data handling and optimization techniques.
Published: January 22, 2024

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