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English Title : Data Structure and Algorithmic Thinking with Python
عنوان فارسی : کتاب ساختار داده و تفکر الگوریتمی با ساختار داده پایتون و پازل های الگوریتمی

Description

The sample chapter should give you a very good idea of the quality and style of our book. In particular, be sure you are comfortable with the level and with our Python coding style. This book focuses on giving solutions for complex problems in data structures and algorithm. It even provides multiple solutions for a single problem, thus familiarizing readers with different possible approaches to the same problem. 

"Data Structure and Algorithmic Thinking with Python" is designed to give a jump-start to programmers, job hunters and those who are appearing for exams. All the code in this book are written in Python. It contains many programming puzzles that not only encourage analytical thinking, but also prepares readers for interviews. This book, with its focused and practical approach, can help readers quickly pick up the concepts and techniques for developing efficient and effective solutions to problems.

Table of contents

Organization of chapters
Introduction
Recursion and Backtracking
Linked Lists
Stacks
Queues
Trees
Priority Queue and Heaps
Disjoint Sets ADT
Graph Algorithms
Sorting   
Searching   
Selection Algorithms [Medians]   
Symbol Tables   
Hashing   
String Algorithms   
Algorithms Design Techniques   
Greedy Algorithms   
Divide and Conquer Algorithms   
Dynamic Programming   
Complexity Classes   
Miscellaneous Concepts  
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Narasimha Karumanchi

Narasimha Karumanchi

Narasimha Karumanchi is the founder/author of CareerMonk Publications, Principal Software Engineer at Microsoft, and author of a few books on data structures, algorithms, and design patterns. He was a software developer who has been both interviewer and interviewee over his long career. Most recently he worked for Amazon Corporation, and IBM Software Labs. Narasimha holds M.Tech. in computer science from IIT, Bombay, and B.Tech. from JNT University. He authored the following books which got translated to international: Chinese, Japanese, Korean, and Taiwanese. Also, around 80 international universities were using these books as references for academic courses.

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