5.0
Intermediate
19h
Advanced Data Structures: Implementing Tries in C++ and Java
Gain insights into trie data structures, their implementation in C++ and Java, and their application in solving algorithmic problems and designing complex systems, enhancing your software engineering skills.
Trie is an efficient tree-like data structure used to store and retrieve information. It is frequently tested in coding interviews, indicating its widespread use in solving many real-world software engineering challenges.
This course covers every aspect of the trie data structure, from the intuition of building a trie to coding it in famous programming languages for solving algorithmic problems and designing real-world systems. It assumes a prior knowledge of trees and basic data structures like lists and arrays.
The problems in this course are categorized into various patterns, which will help you map new solutions to known issues using tries. The problems are of varying difficulties, from easy to hard, thus giving you an iterative learning experience. By the end of this course, you’ll be able to decode relevant trie problems, code their solutions in C++ and Java, and apply trie concepts to design complex software systems.
Trie is an efficient tree-like data structure used to store and retrieve information. It is frequently tested in coding intervie...Show More
WHAT YOU'LL LEARN
An understanding of the use of tries and their implementation in C++ and Java
Ability to solve trie-based coding challenges frequently encountered in coding interviews
Familiarity with various patterns under which a trie related problem can fall
Hands-on practice working with real-world use cases of tries
Familiarity with a few case studies for a better understanding of system design concepts
An understanding of the use of tries and their implementation in C++ and Java
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Content
1.
Introduction to Tries
6 Lessons
Get familiar with trie structures, their implementation, and practical applications in real-world scenarios.
2.
Prefix Search
7 Lessons
Get started with efficient prefix searches and keyword management using trie structures.
3.
Suffix Search
7 Lessons
Break apart suffix searching with tries for efficient counting, searching, and optimization.
4.
Bitwise Tries
7 Lessons
Grasp the fundamentals of bitwise tries for efficient XOR calculations and binary data optimization.
5.
Pattern Matching
7 Lessons
Dig deeper into pattern matching using tries for optimized and efficient string searches.
6.
File Systems
7 Lessons
Follow the process of enhancing file systems with trie structures for efficient management and retrieval.
7.
Trie Traversal
7 Lessons
Master the steps to efficiently traverse, search, and manipulate tries for various applications.
8.
Search Engine
9 Lessons
Step through implementing search engines with tries, including auto-complete and spelling correction.
9.
Miscellaneous
7 Lessons
Unpack the core of solving diverse problems using trie data structures for optimal efficiency.
10.
Conclusion
2 Lessons
Examine advanced trie concepts, implementation, and practical applications, and explore further data structures.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
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