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Problem Solving in Data Structures & Algorithms Using Python
Problem Solving in Data Structures & Algorithms Using Python
Designing an efficient algorithm is a very important skill that all software companies pursue. Most interviews focus on knowledge of data structures and algorithms, looking for how candidates use concepts to solve complex problems.
Problem Solving in Data Structures & Algorithms Using Python
Item #: 59788979

Problem Solving in Data Structures & Algorithms Using Python

Item #: 59788979

IDR 778527

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Designing an efficient algorithm is a very important skill that all software companies pursue. Most interviews focus on knowledge of data structures and algorithms, looking for how candidates use concepts to solve complex problems.
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What Stands Out

Hands-on Approach
The book emphasizes practical coding exercises to reinforce learning, enabling users to solve complex data structure and algorithm problems effectively using Python.
Comprehensive Coverage
It covers a wide array of topics from fundamental concepts to advanced techniques, ensuring a thorough understanding of data structures and algorithms required for coding interviews and real-world applications.
Expert Insights
Authored by experienced professionals, the book provides valuable insights and tips, helping readers navigate through common pitfalls and enhance their problem-solving skills in Python.

Product Details

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  • Problem Solving in Data Structures & Algorithms SeriesThe Problem Solving in Data Structures & Algorithms series is designed to help programmers master the application of data structures and algorithms in real-world scenarios, with a particular focus on interview preparation. Written in an easy-to-understand manner, these books offer examples in a variety of programming languages, including Go, C, C++, Java, C#, Python, VB, JavaScript, and PHP.For more information:Official website and bulk orders: www.taaran.inGitHub repositories for the books: GitHub - Hemant-Jain-AuthorOverview of the BookThis book is an excellent resource for those entering the world of data structures and algorithms, especially if you're preparing for technical interviews. It covers key concepts in both data structures, which determine how data is organized in memory for efficient access, and algorithms, which are sets of instructions designed to manipulate these data structures and solve computational problems.Understanding how to design efficient algorithms is a critical skill sought by top technology companies such as Microsoft, Google, and Facebook. Interviewers from these companies often assess candidates' ability to leverage data structures and algorithms to solve complex, real-world problems in an optimized manner. Consequently, mastering these topics is not only essential for passing interviews but also crucial for excelling as a software engineer in the industry.The book starts with an introduction to complexity analysis, which is foundational for understanding the efficiency of algorithms. From there, it delves into various data structures such as Linked Lists, Stacks, Queues, Trees, Heaps, Hash Tables, and Graphs, along with their associated algorithms. You'll also learn about fundamental sorting and searching techniques.In the final chapters, the book introduces advanced algorithmic techniques such as Brute-Force algorithms, Greedy algorithms, Divide and Conquer techniques, Dynamic Programming, and Backtracking. Notably, the section on dynamic programming is particularly strong, as it categorizes dynamic programming problems into five distinct patterns to help you recognize and solve them efficiently.Why This Book Is Essential for Interview PreparationWhen preparing for technical interviews at leading software companies, a deep understanding of data structures and algorithms is indispensable. This book is specifically written from the perspective of interview preparation, providing practical examples and problems to help you sharpen your problem-solving skills.Aside from teaching you how to write algorithms efficiently, the book ensures that you can use this knowledge to handle real-world problems, which is a critical skill in technical interviews.Topics Covered in the BookChapter 0: How to Use This BookChapter 1: Algorithm AnalysisChapter 2: Approaching Algorithm Design ProblemsChapter 3: Abstract Data TypesChapter 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 AlgorithmsChapter 16: Greedy AlgorithmsChapter 17: Divide and Conquer AlgorithmsChapter 18: Dynamic ProgrammingChapter 19: BacktrackingChapter 20: Complexity Theory
Publisher Hemant Jain
Publication date April 9, 2022
Language English
Print length 536 pages
ISBN-10 935620814X
ISBN-13 978-9356208148
Item Weight 3.32 pounds (1.51 kg)
Dimensions 8.5 x 1.21 x 11 inches (21.6 x 3.1 x 27.9 cm)

Who Should Buy?

Suitable For
  • Beginner Programmers

    Ideal for those new to programming, providing foundational understanding of data structures and algorithms using Python.

  • College Students

    Perfect for students studying computer science who need practical problem-solving skills for courses and exams.

  • Job Seekers

    Beneficial for individuals preparing for technical interviews, enhancing their algorithmic thinking and coding proficiency with Python.

Not Suitable For
  • Advanced Coders

    Not suitable for experienced programmers seeking advanced techniques, as content may be too basic for their level.

  • Non-Python Users

    Users unfamiliar with Python coding may struggle, as the book focuses extensively on this specific programming language.

  • Theory Seekers

    Individuals looking for theoretical concepts without practical applications may find the hands-on approach less appealing.

Product Description

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Customer Questions & Answers

  • Question: What is the main focus of 'Problem Solving in Data Structures & Algorithms Using Python'?

    Answer: The book primarily focuses on teaching readers how to apply data structures and algorithms effectively using the Python programming language. It breaks down complex concepts into manageable parts, facilitating a deeper understanding of how to solve problems efficiently. By leveraging Python's syntax and libraries, readers can develop practical skills applicable in software development and coding interviews.
  • Question: Who is the target audience for this book?

    Answer: This book targets students, software engineers, and anyone interested in enhancing their coding skills in Python. Those preparing for technical interviews or looking to strengthen their understanding of data structures will find the material particularly useful. The clear explanations and hands-on practice make it accessible for beginners while still challenging for more advanced users.
  • Question: What topics are covered in this book?

    Answer: The book covers a range of essential topics, including basic data structures like arrays and linked lists, advanced structures like trees and graphs, and fundamental algorithms such as sorting and searching. Each topic is presented with examples in Python, making it easier to grasp and apply the concepts in real coding scenarios.
  • Question: Is prior programming experience required to understand this book?

    Answer: No prior programming experience is necessary. The book starts with the fundamentals of Python and gradually builds up to more complex data structures and algorithms. Beginners can gain insights into programming concepts while experienced programmers can refresh their knowledge and enhance their problem-solving skills.
  • Question: How does this book help with coding interviews?

    Answer: 'Problem Solving in Data Structures & Algorithms Using Python' is an excellent resource for coding interview preparation. It includes practice problems and solutions that mimic common interview questions, helping readers understand how to approach and solve typical algorithms-related challenges. This practical exposure builds confidence for candidates facing technical interviews.
  • Question: Are there exercises or practice problems included?

    Answer: Yes, the book features numerous exercises and practice problems at the end of each chapter. These are designed to reinforce learning and provide hands-on experience with the concepts discussed. Working through these problems allows readers to apply their knowledge and enhances their retention of material covered in the book.
  • Question: What programming paradigms does the book cover?

    Answer: The book emphasizes problem-solving techniques through various programming paradigms, primarily focusing on object-oriented and procedural programming with Python. By exploring different paradigms, readers learn how to effectively tackle problems from alternate perspectives, leading to more versatile coding practices and solutions.
  • Question: Can this book be used as a reference guide?

    Answer: Definitely! 'Problem Solving in Data Structures & Algorithms Using Python' also serves as a handy reference for experienced programmers. The well-structured chapters allow quick navigation through topics, making it easy to revisit specific data structures or algorithms when needed in projects or coding tasks.
  • Question: What makes this book stand out from others on the same topic?

    Answer: This book distinguishes itself by providing practical applications of theories through clear explanations and real-world examples using Python. Its hands-on approach not only makes learning engaging but also supports readers in building a robust foundation in algorithms and data structures that applies across various programming challenges.
  • Question: Where can I buy 'Problem Solving in Data Structures & Algorithms Using Python' in Indonesia?

    Answer: You can purchase 'Problem Solving in Data Structures & Algorithms Using Python' from Ubuy in Indonesia. Ubuy is a reliable e-commerce platform that offers a wide range of books and resources. Simply visit their website and search for the book to find it readily available for you.

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Pros

  • Clear explanations of concepts
  • Hands-on coding examples
  • Great for beginners and intermediates
  • Engaging problem-solving exercises
  • Covers a wide range of topics

Cons

  • Some examples might feel repetitive.

Product Price History

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