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Problem Solving in Data Structures & Algorithms Using Python
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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
Número do item: 59788979

Problem Solving in Data Structures & Algorithms Using Python

Número do item: 59788979

R$ 255

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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.

Detalhes do produto

Shop online for Problem Solving in Data Structures & Algorithms Using Python at Ubuy KW. Find the best deals on Python programming books for problem-solving at Ubuy Brasil.
Item Weight2 lbs (910 grams)

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.

DESCRIÇÃO DO PRODUTO

Problem Solving in Data Structures & Algorithms Using Python

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Perguntas e Respostas do cliente

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

    responda: 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.
  • pergunta: Who is the target audience for this book?

    responda: 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.
  • pergunta: What topics are covered in this book?

    responda: 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.
  • pergunta: Is prior programming experience required to understand this book?

    responda: 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.
  • pergunta: How does this book help with coding interviews?

    responda: '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.
  • pergunta: Are there exercises or practice problems included?

    responda: 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.
  • pergunta: What programming paradigms does the book cover?

    responda: 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.
  • pergunta: Can this book be used as a reference guide?

    responda: 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.
  • pergunta: What makes this book stand out from others on the same topic?

    responda: 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.
  • pergunta: Where can I buy 'Problem Solving in Data Structures & Algorithms Using Python' in Brazil?

    responda: You can purchase 'Problem Solving in Data Structures & Algorithms Using Python' from Ubuy in Brazil. 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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Prós

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

Contras

  • Some examples might feel repetitive.

Histórico de preço do produto

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R$ 255

Esse produto não é fornecido pela Ubuy e pode levar no mínimo 10 dias para ser entregue. Podemos cancelar o produto do pedido e reembolsá-lo se surgir algum problema com a entrega.

QTY:

Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

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Características e benefícios

  • Book focuses on data structures and algorithms for interview preparation
  • Examples solved in various languages like Go, C++, Java, Python, etc.
  • Introduces various key computer fundamentals such as Sorting, Searching, Trees, Graphs, etc.
  • Assumes reader is familiar with C language basics
  • Covers algorithm design techniques like Dynamic Programming, Greedy algorithms, etc.
  • Emphasizes the importance of designing efficient algorithms for software engineering jobs