Advanced Algorithms and Data Structures in Python
Why take this course?
🎉 Welcome to Advanced Algorithms and Data Structures in Python! 🧠🚀
This is the perfect course for you if you're a computer science enthusiast eager to dive deep into some of the most powerful algorithms and data structures using the versatile Python programming language. In each chapter, we'll not only explore the theoretical underpinnings but also implement these concepts from scratch, giving you hands-on experience that will solidify your understanding and enhance your coding skills.
🚀 What You'll Learn:
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Binary Indexed Trees (Fenwick Trees) 🌳
- Understand the theory behind Fenwick trees and their applications in computer vision and artificial intelligence.
- Learn how to implement a Fenwick tree in Python.
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LRU Caches 🧠
- Discover why caches are crucial in computing.
- Explore the doubly linked list structure for LRU implementation and delve into the theory behind LRU caches.
- Implement an LRU cache in Python.
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Splay Trees 🌳
- Get to know splay trees and their role in implementing efficient caches.
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B-Trees 📚
- Explore data structures designed for external memory systems, including B-tree theory and implementations.
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Prefix Tries (Tries) ❗️
- Understand what trie data structures are and their real-world applications like autocomplete features and IP routing.
- Discover various sorting methods using tries.
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Ternary Search Trees 🎲
- Learn about ternary search trees and how they can be applied to the Boggle game.
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Substring Search Algorithms 🔍
- Explore different substring search algorithms, including the brute-force method, Rabin-Karp algorithm, Knuth-Morris-Pratt (KMP), and Z algorithm.
- Implement these algorithms in Python to enhance your problem-solving skills.
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Topological Ordering 🕰️
- Understand the concept of topological ordering and implement it using depth-first search.
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Cycle Detection ⭕️
- Learn how to detect cycles in graphs, a fundamental concept in graph theory.
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Strongly Connected Components (Tarjan's Algorithm) 🔄
- Discover what strongly connected components are and implement Tarjan's algorithm to identify them.
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Hamiltonian Cycles & Travelling Salesman Problem ✈️📍
- Study Hamiltonian cycles and tackle the famous Traveling Salesman Problem using backtracking and meta-heuristic approaches.
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Eulerian Cycles (Chinese Postman Problem) 🚶♂️
- Understand Eulerian cycles and solve the Chinese Postman problem, another classic graph theory challenge.
🔥 Why This Course?
- Gain in-depth knowledge of advanced data structures and algorithms.
- Enhance your Python skills through practical implementations.
- Stay ahead of the curve in a competitive tech environment.
- Solve complex problems with confidence using proven methodologies.
👩🏫 Instructor: Holczer Balazs 🧙♂️
- A seasoned instructor with expertise in advanced data structures and algorithms, especially in Python.
Ready to embark on this journey through the world of complex algorithms and robust data structures? Join me, and together we'll unlock new levels of coding mastery! Let's get coding! 🛠️💻💖
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