Data Structures & Algorithms In Go
Page Count562 Pages
About the e-Book
Data Structures & Algorithms In Go Pdf
This book is designed for interviews so in Chapter 0, various preparation plans are proposed.
Then in chapters 1, a brief introduction of the programming language and concept of recursion is explained. A number of problems based on recursion and array are explained.
Then in the coming chapter, we will be looking into complexity analysis. Then we will be looking into Sorting & Searching techniques.
Then will look into the various data structures and their algorithms. We will be looking into a Linked List, Stack, Queue, Trees, Heap, Hash Table and Graphs.
Then we will be looking into algorithm analysis, we will be looking into Brute Force algorithms, Greedy algorithms, Divide & Conquer algorithms, Dynamic Programming, and Backtracking.
In the end, we will be looking into System Design, which will give a systematic approach for solving the design problems in an Interview.
Table of Contents
Chapter 0: How to use this book.
Chapter 1: Introduction - Programming Overview
Chapter 2: Algorithms Analysis
Chapter 3: Approach to solve algorithm design problems
Chapter 4: Abstract Data Type
Chapter 5: Searching
Chapter 6: Sorting
Chapter 7: Linked List
Chapter 8: Stack
Chapter 9: Queue
Chapter 10: Tree
Chapter 11: Priority Queue
Chapter 12: Hash-Table
Chapter 13: Graphs
Chapter 14: String Algorithms
Chapter 15: Algorithm Design Techniques
Chapter 16: Brute Force Algorithm
Chapter 17: Greedy Algorithm
Chapter 18: Divide & Conquer
Chapter 19: Dynamic Programming
Chapter 20: Backtracking
Chapter 21: Complexity Theory
Chapter 22: Interview Strategy
Chapter 23: System Design
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