Updated 27 Aug
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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.
5.0
66 lessons
19h
Created by Ankur Malik
What's included
- 66 lessons across 10 modules
- 1 quizzes with instant feedback
- AI Tutor on every lesson
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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
Learning Roadmap
1.
Introduction to Tries
Introduction to Tries
Get familiar with trie structures, their implementation, and practical applications in real-world scenarios.
2.
Prefix Search
Prefix Search
Get started with efficient prefix searches and keyword management using trie structures.
3.
Suffix Search
Suffix Search
7 Lessons
7 Lessons
Break apart suffix searching with tries for efficient counting, searching, and optimization.
4.
Bitwise Tries
Bitwise Tries
7 Lessons
7 Lessons
Grasp the fundamentals of bitwise tries for efficient XOR calculations and binary data optimization.
5.
Pattern Matching
Pattern Matching
7 Lessons
7 Lessons
Dig deeper into pattern matching using tries for optimized and efficient string searches.
6.
File Systems
File Systems
7 Lessons
7 Lessons
Follow the process of enhancing file systems with trie structures for efficient management and retrieval.
7.
Trie Traversal
Trie Traversal
7 Lessons
7 Lessons
Master the steps to efficiently traverse, search, and manipulate tries for various applications.
8.
Search Engine
Search Engine
9 Lessons
9 Lessons
Step through implementing search engines with tries, including auto-complete and spelling correction.
9.
Miscellaneous
Miscellaneous
7 Lessons
7 Lessons
Unpack the core of solving diverse problems using trie data structures for optimal efficiency.
10.
Conclusion
Conclusion
2 Lessons
2 Lessons
Examine advanced trie concepts, implementation, and practical applications, and explore further data structures.
Certificate of Completion
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About this course
WHY I WROTE THIS COURSE
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.
ABOUT THE AUTHOR
Ankur Malik
I AM A SOFTWARE ENGINEER WITH A DEEP INTEREST IN SYSTEM DESIGNING. I HAVE BEEN INVOLVED IN VARIOUS MENTORING PROGRAMS FOR SWE INTERVIEW PREPARATIONS.
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