Böcker av Hemant Jain

DESCRIPTIONThe book "Problem Solving in Data Structures and Algorithms Using C++" is designed to equip readers with a solid foundation in data structures and algorithms, essential for both academic study and technical interviews.It provides a solid foundation in the field, covering essential topics such as algorithm analysis, problem-solving techniques, abstract data types, sorting, searching, linked lists, stacks, queues, trees, heaps, hash tables, graphs, string algorithms, algorithm design techniques, and complexity theory. The book presents a clear and concise explanation of each topic, supported by illustrative examples and exercises. It progresses logically, starting with fundamental concepts and gradually building upon them to explore more advanced topics. The book emphasizes problem-solving skills, offering numerous practice problems and solutions to help readers prepare for coding interviews and competitive programming challenges. Each problem is accompanied by a structured approach and step-by-step solution, enhancing the reader's ability to tackle complex algorithmic problems efficiently.By the end of the book, readers will have a strong understanding of algorithms and data structures, enabling them to design efficient and scalable solutions for a wide range of programming problems.KEY FEATURES¿ Learn essential data structures like arrays, linked lists, trees, and graphs through practical coding examples for real-world application.¿ Understand complex topics with step-by-step explanations and detailed diagrams, suitable for all experience levels.¿ Solve interview and competitive programming problems with C++ solutions for hands-on practice.WHAT YOU WILL LEARN¿ Master algorithmic techniques for sorting, searching, and recursion.¿ Solve complex problems using dynamic programming and greedy algorithms.¿ Optimize code performance with efficient algorithmic solutions.¿ Prepare effectively for coding interviews with real-world problem sets.¿ Develop strong debugging and analytical problem-solving skills.WHO THIS BOOK IS FORThis book is for computer science students, software developers, and anyone preparing for coding interviews. The book's clear explanations and practical examples make it accessible to both beginners and experienced programmers.

Design Patterns Using PythonBy Hemant JainIn a world where most design pattern books are focused on languages like C++ and Java, Design Patterns Using Python stands out by leveraging the simplicity and versatility of Python. With its clear and concise syntax, Python not only simplifies the implementation of design patterns but also makes them more intuitive and accessible. This book highlights how Python's dynamic capabilities can reduce the complexity of traditional patterns, often requiring fewer lines of code to achieve the same functionality.Design Patterns Using Python takes you on an enlightening journey through the world of software design patterns, demonstrating how to effectively implement them using Python. Beginning with a deep dive into the fundamental goals of design patterns and the SOLID principles, this book covers the 24 classic "Gang of Four" (GoF) patterns comprehensively. It categorizes patterns into: Creational PatternsLearn how to create objects in a manner that suits your system's needs, promoting flexibility and reuse. Patterns such as Singleton, Factory, and Builder are implemented with Python's unique advantages.Structural PatternsUnderstand how to compose classes and objects to form larger structures, ensuring your systems are scalable and maintainable. Key patterns like Adapter, Composite, and Proxy are explored with Python's powerful data structures.Behavioral PatternsMaster the communication and interaction between objects. Patterns like Observer, Command, and Strategy are implemented to show how Python's design can simplify code management and adaptability.Beyond the classic patterns, Design Patterns Using Python also delves into Concurrency Patterns and Architectural Patterns, critical for building high-performance, scalable applications. Additionally, the book emphasizes the significance of Anti-Patterns-common mistakes or ineffective approaches-and teaches how to recognize and avoid them.Why This Book?This book is not just about writing code; it's about designing software with purpose and clarity. It serves both experienced developers who want to enhance their design skills and newcomers eager to learn how to build more maintainable, efficient software from the ground up.By mastering these patterns, you'll gain the tools to: Write cleaner, more efficient Python codeCreate flexible, scalable applicationsBuild systems that are easier to maintain and extendAvoid common pitfalls and anti-patternsImplement industry-proven design strategiesWhether you're refining your coding skills or exploring design patterns for the first time, Design Patterns Using Python will empower you to design and develop better software with confidence. Unlock Python's potential as a design tool and elevate your programming to the next level. Bulk Order and Contact InformationFor bulk orders, visit: www.taaran.inExplore more on GitHub: https: //github.com/Hemant-Jain-Author Don't just code-design with purpose. Empower your development journey with the right tools and best practices for crafting powerful Python applications!

"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 Swift, Go, C, C++, Java, C#, Python, VB, JavaScript and PHP. GitHub Repositories for these books. https: //github.com/Hemant-Jain-Author Book's CompositionThis book introduces you to the world of data structures and algorithms. Data structures define 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 your jobs as a software engineer. This book assumes that you are a Swift language developer. You are not an expert in Swift language, but you are well familiar with concepts of classes, functions, arrays, references, 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 Linked-List, Stack, Queue, Trees, Heap, Hash-Table and Graphs. We will also be looking into Sorting, Searching techniques. In the last few chapters, we will be looking into various algorithmic techniques. Such as, Brute-Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, and Backtracking. Table of ContentsChapter 0: How to use this book.Chapter 1: Algorithms AnalysisChapter 2: Approach to solve algorithm design problemsChapter 3: Abstract Data Type & C# CollectionsChapter 4: SearchingChapter 5: SortingChapter 6: Linked ListChapter 7: StackChapter 8: QueueChapter 9: TreeChapter 10: Priority QueueChapter 11: Hash-TableChapter 12: GraphsChapter 13: String AlgorithmsChapter 14: Algorithm Design TechniquesChapter 15: Brute Force AlgorithmChapter 16: Greedy AlgorithmChapter 17: Divide & ConquerChapter 18: Dynamic ProgrammingChapter 19: BacktrackingChapter 20: Complexity Theory