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Problem Solving With Algorithms And Data Structures Using Python


Problem Solving With Algorithms And Data Structures Using Python
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Problem Solving With Algorithms And Data Structures Using Python 3rd Edition


Problem Solving With Algorithms And Data Structures Using Python 3rd Edition
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Author : Bradley N. Miller
language : en
Publisher: Franklin, Beedle & Associates Incorporated
Release Date : 2023

Problem Solving With Algorithms And Data Structures Using Python 3rd Edition written by Bradley N. Miller and has been published by Franklin, Beedle & Associates Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Computers categories.


This textbook is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum. Even though the second course is considered more advanced than the first course, this book assumes you are beginners at this level. You may still be struggling with some of the basic ideas and skills from a first computer science course and yet be ready to further explore the discipline and continue to practice problem solving. Computer science is like any other difficult subject matter, where you become successful through deliberate, step-by-step exposure to the fundamental ideas. A beginning computer scientist needs practice to gain thorough understanding before advancing to more complex parts of the curriculum. A beginner also needs opportunities to be successful and gain confidence. This book achieves these goals by exposing new concepts incrementally while building on previously covered topics. Furthermore, we use the Python programming language, as we believe that provides the perfect setting for exploring these ideas. We cover abstract data types and data structures, writing algorithms, and solving problems. We look at a number of data structures and solve classic problems that arise. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science. This textbook has three key features: A strong focus on problem solving introduces students to fundamental data structures and algorithms by providing a very readable text without introducing on overwhelming amount of new language syntax. Algorithm analysis in term of Big O running time is introduced early and applied throughout. Python is used to facilitate the success of beginning students in using and mastering data structures and algorithms.



Problem Solving With Algorithms And Data Structures Using Python


Problem Solving With Algorithms And Data Structures Using Python
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Author : Bradley N. Miller
language : en
Publisher:
Release Date : 2014

Problem Solving With Algorithms And Data Structures Using Python written by Bradley N. Miller and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Computer algorithms categories.




Problem Solving In Data Structures Algorithms Using Python


Problem Solving In Data Structures Algorithms Using Python
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Author : Hemant Jain
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-12-14

Problem Solving In Data Structures Algorithms Using Python written by Hemant Jain and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-14 with categories.


This book is about the usage of Data Structures and Algorithms in computer programming. Designing an efficient algorithm to solve a computer science problem is a skill of Computer programmer. This is the skill which tech companies like Google, Amazon, Microsoft, Adobe and many others are looking for in an interview. This book assumes that you are a Python language developer. You are not an expert in Python language, but you are well familiar with concepts of references, functions, lists and recursion. In the start of this book, we will be revising the Python language fundamentals. We will be looking into some of the problems in arrays and recursion too. Then in the coming chapter, we will be looking into complexity analysis. 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. We will be looking into Sorting & Searching techniques. Then we will be looking into algorithm analysis, we will be looking into Brute Force algorithms, Greedy algorithms, Divide & Conquer algorithms, Dynamic Programming, Reduction, 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.



Problem Solving In Data Structures Algorithms Using Python


Problem Solving In Data Structures Algorithms Using Python
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Author : HEMANT. JAIN
language : en
Publisher:
Release Date : 2022

Problem Solving In Data Structures Algorithms Using Python written by HEMANT. JAIN and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.




Data Structures And Algorithms In Python


Data Structures And Algorithms In Python
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Author : Maxwell Rivers
language : en
Publisher: Independently Published
Release Date : 2023-08-24

Data Structures And Algorithms In Python written by Maxwell Rivers and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-24 with categories.


Are you interested in becoming a coding whiz and solving problems like a pro? "Data Structures and Algorithms in Python" is the perfect book for you! Designed especially for beginners, this book will help you understand important computer science ideas and how to use them with Python. Think of data structures as containers that hold your information. We'll show you how to use them to organize data neatly. Algorithms are like step-by-step recipes for solving problems. We'll teach you how to create efficient solutions to various challenges. Don't worry if you're new to coding or feel a bit overwhelmed - we've got you covered. We'll start with simple things like variables and loops and gradually build up to more complex concepts. Ever heard of sorting and searching? We'll show you how to sort your stuff in order and find things quickly. We'll even dive into cool topics like patterns, puzzles, and graphs! Want your code to be super-fast and smart? We'll explain how to make it run quickly and use as little memory as possible. And guess what? We'll also help you get ready for those tech interviews! We'll share tips on how to solve problems and impress interviewers. So, whether you're dreaming of acing interviews or just want to have fun with coding challenges, "Data Structures and Algorithms in Python" is here to guide you. With easy explanations, friendly examples, and hands-on practice, you'll soon be writing code like a pro. Get ready to become a coding superstar!



Introduction To Computational Thinking


Introduction To Computational Thinking
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Author : Thomas Mailund
language : en
Publisher:
Release Date : 2021

Introduction To Computational Thinking written by Thomas Mailund and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.


Learn approaches of computational thinking and the art of designing algorithms. Most of the algorithms you will see in this book are used in almost all software that runs on your computer. Learning how to program can be very rewarding. It is a special feeling to seeing a computer translate your thoughts into actions and see it solve your problems for you. To get to that point, however, you must learn to think about computations in a new way-you must learn computational thinking. This book begins by discussing models of the world and how to formalize problems. This leads onto a definition of computational thinking and putting computational thinking in a broader context. The practical coding in the book is carried out in Python; you'll get an introduction to Python programming, including how to set up your development environment. You will: Think in a computational way Acquire general techniques for problem solving See general and concrete algorithmic techniques Program solutions that are both computationally efficient and maintainable.



Data Structures Algorithms In Python


Data Structures Algorithms In Python
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Author : Thompson Carter
language : en
Publisher: Independently Published
Release Date : 2025-07-25

Data Structures Algorithms In Python written by Thompson Carter and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-25 with Computers categories.


Crack Technical Interviews. Write Smarter Code. Solve Real Problems. If you want to become a better programmer, ace coding interviews, or simply write faster and more efficient code, mastering data structures and algorithms is non-negotiable. Data Structures & Algorithms in Python is your practical, step-by-step guide to understanding core computer science concepts-without drowning in theory. This book strips away academic complexity and shows you how to apply stacks, queues, linked lists, trees, graphs, hash maps, sorting, and recursion using clean, modern Python code. You'll not only learn how each structure works, but when and why to use it to solve real-world problems. Whether you're preparing for FAANG interviews, working on technical assessments, or improving your problem-solving skills, this hands-on guide is built to make algorithms accessible, intuitive, and actionable. ✅ What You'll Learn: How to implement core data structures in Python: lists, stacks, queues, trees, graphs, and hash maps Sorting algorithms: bubble, quicksort, merge sort, and when to use them Search techniques including binary search, BFS, and DFS Mastering recursion, backtracking, and dynamic programming Real-world problem-solving strategies and interview-style challenges How to analyze time and space complexity with Big O Notation Perfect For: Python developers aiming to level up Students preparing for technical interviews Bootcamp grads and self-taught programmers Anyone looking to master algorithms with hands-on Python examples



Algorithms And Data Structures With Python


Algorithms And Data Structures With Python
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Author : Cuantum Technologies LLC
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-06-12

Algorithms And Data Structures With Python written by Cuantum Technologies LLC and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-12 with Computers categories.


Master Python and elevate your algorithmic skills with this comprehensive course. From introductory concepts to advanced computational problems, learn how to efficiently solve complex challenges and optimize your code. Key Features Comprehensive introduction to Python programming and algorithms Detailed exploration of data structures and sorting/searching techniques Advanced topics including graph algorithms and computational problem-solving Book DescriptionBegin your journey with an introduction to Python and algorithms, laying the groundwork for more complex topics. You will start with the basics of Python programming, ensuring a solid foundation before diving into more advanced and sophisticated concepts. As you progress, you'll explore elementary data containers, gaining an understanding of their role in algorithm development. Midway through the course, you’ll delve into the art of sorting and searching, mastering techniques that are crucial for efficient data handling. You will then venture into hierarchical data structures, such as trees and graphs, which are essential for understanding complex data relationships. By mastering algorithmic techniques, you’ll learn how to implement solutions for a variety of computational challenges. The latter part of the course focuses on advanced topics, including network algorithms, string and pattern deciphering, and advanced computational problems. You'll apply your knowledge through practical case studies and optimizations, bridging the gap between theoretical concepts and real-world applications. This comprehensive approach ensures you are well-prepared to handle any programming challenge with confidence.What you will learn Master sorting and searching algorithms Implement hierarchical data structures like trees and graphs Apply advanced algorithmic techniques to solve complex problems Optimize code for efficiency and performance Understand and implement advanced graph algorithms Translate theoretical concepts into practical, real-world solutions Who this book is for This course is designed for a diverse group of learners, including technical professionals, software developers, computer science students, and data enthusiasts. It caters to individuals who have a basic understanding of programming and are eager to deepen their knowledge of Python and algorithms. Whether you're a recent graduate, or an experienced developer looking to expand your skill set, this course is tailored to meet the needs of all types of audiences. Ideal for those aiming to strengthen their algorithmic thinking and improve their coding efficiency.



Problem Solving In Data Structures And Algorithms Using C


Problem Solving In Data Structures And Algorithms Using C
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Author : Hemant Jain
language : en
Publisher: Independently Published
Release Date : 2018-10-06

Problem Solving In Data Structures And Algorithms Using C written by Hemant Jain and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-06 with categories.


"Problem Solving in Data Structures & Algorithms" is a series of books about the usage of Data Structures and Algorithms in computer programming. The book is easy to follow and is written for interview preparation point of view. In these books, the examples are solved in various languages like Go, C, C++, Java, C#, Python, VB, JavaScript and PHP. GitHub Repositories for these books. https://github.com/Hemant-Jain-Author Book's Composition This book introduces you to the world of data structures and algorithms. Data structures defines the way in which data is arranged in memory for fast and efficient access while algorithms are a set of instruction to solve problems by manipulating these data structures. Designing an efficient algorithm is a very important skill that all software companies, e.g. Microsoft, Google, Facebook etc. pursues. Most of the interviews for these companies are focused on knowledge of data-structures and algorithms. They look for how candidates use concepts of data structures and algorithms to solve complex problems efficiently. Apart from knowing, a programming language you also need to have good command of these key computer fundamentals to not only qualify the interview but also excel in you jobs as a software engineer. This book assumes that you are a C# language developer. You are not an expert in C# language, but you are well familiar with concepts of classes, functions, arrays, pointers and recursion. At the start of this book, we will be looking into Complexity Analysis followed by the various data structures and their algorithms. We will be looking into a Linked-List, Stack, Queue, Trees, Heap, Hash-Table and Graphs. We will also be looking into Sorting, Searching techniques. In last few chapters, we will be looking into various algorithmic techniques. Such as, Brute-Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, Reduction and Backtracking. . Table of Contents Chapter 0: How to use this book. Chapter 1: Algorithms Analysis Chapter 2: Approach to solve algorithm design problems Chapter 3: Abstract Data Type & C# Collections Chapter 4: Searching Chapter 5: Sorting Chapter 6: Linked List Chapter 7: Stack Chapter 8: Queue Chapter 9: Tree Chapter 10: Priority Queue Chapter 11: Hash-Table Chapter 12: Graphs Chapter 13: String Algorithms Chapter 14: Algorithm Design Techniques Chapter 15: Brute Force Algorithm Chapter 16: Greedy Algorithm Chapter 17: Divide & Conquer Chapter 18: Dynamic Programming Chapter 19: Backtracking Chapter 20: Complexity Theory



Introduction To Algorithms Data Structures 1


Introduction To Algorithms Data Structures 1
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Author : Bolakale Aremu
language : en
Publisher: Ojula Technology Innovations
Release Date : 2025-01-07

Introduction To Algorithms Data Structures 1 written by Bolakale Aremu and has been published by Ojula Technology Innovations this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-07 with Computers categories.


What You Will Learn & How to Get Help. The design of an efficient algorithm for the solution of the problem calls for the inclusion of appropriate data structures. In the field of computer science, data structures are used to store and organize data in a way that is easy to understand and use. They are used to organize and represent data in a way that will make it easier for computers to retrieve and analyze it. These are the fundamental building blocks that any programmer must know how to use correctly in order to build their own programs. Benefits of learning about algorithms and data structures First, they will help you become a better programmer. Another benefit is that they will make you think more logically. Furthermore, they can help you design better systems for storing and processing data. They also serve as a tool for optimization and problem-solving. As a result, the concepts of algorithms and data structures are very valuable in any field. For example, you can use them when building a web app or writing software for other devices. You can apply them to machine learning and data analytics, which are two hot areas right now. If you are a hacker, algorithms and data structures in Python are also important for you everywhere. Now, whatever your preferred learning style, I've got you covered. If you're a visual learner, you'll love my clear diagrams and illustrations throughout this book. If you're a practical learner, you'll love my hands-on lessons so that you can get practical with algorithms and data structures and learn in a hands-on way.