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49698434
Hands-On Data Structures and Algorithms with Python: Store, manipulate, and access data effectively and boost the performance of your applications,
88% of respondents would recommend this to a friend
Item #:
49698434
€ 35
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Choosing the right data structure is pivotal to optimizing the performance and scalability of applications. By the end of this Python book, you'll be able to manipulate the most important data structures and algorithms to more efficiently store, organize, and access data in your applications.
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What Stands Out
Practical Approach
Hands-on examples and exercises ensure a practical understanding of data structures and algorithms, making complex concepts accessible and applicable to real-world programming challenges.
Python Integration
Utilizes Python throughout the book, catering to beginner and advanced programmers alike, which facilitates immediate application of learned concepts in Python projects.
Performance Optimization
Focuses on data manipulation efficiency, helping developers boost application performance, reduce resource usage, and improve overall user experience through optimized algorithms.
Product Details
- Explore functional and reactive implementations of traditional and advanced data structures
- Apply a diverse range of algorithms in your Python code
- Implement the skills learned to maximize application performance
- Learn common data structures and algorithms with examples, diagrams, and exercises
- Understand algorithmic paradigms and apply dynamic programming techniques
- Ideal for developers interested in learning about data structures and algorithms in Python
| Publisher | Packt Publishing |
| Publication date | July 29, 2022 |
| Edition | 3rd ed. |
| Language | English |
| Print length | 496 pages |
| ISBN-10 | 1801073449 |
| ISBN-13 | 978-1801073448 |
| Item Weight | 1.86 pounds (840 grams) |
| Dimensions | 7.5 x 1.12 x 9.25 inches (19.1 x 2.8 x 23.5 cm) |
Who Should Buy?
-
Beginner Programmers
Ideal for those starting with Python, offering practical examples and clear explanations of data structures and algorithms.
-
Data Science Students
Useful for students learning data manipulation and performance optimization, enhancing their understanding of algorithm complexities.
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Software Developers
Perfect for developers looking to improve application performance by mastering data handling and algorithm implementation.
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Advanced Users
Experienced programmers may find the content too basic, lacking depth in advanced data structure topics.
Product Description
Hands-On Data Structures and Algorithms with Python: Store, manipulate, and access data effectively and boost the performance of your applications, 3rd Edition
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Customer Questions & Answers
-
Question:
What is 'Hands-On Data Structures and Algorithms with Python' about?
Answer: This book offers a practical approach to understanding data structures and algorithms using Python. It covers how to design, implement, and apply various data structures like lists, trees, and graphs while also delving into algorithms for searching and sorting. This foundational knowledge empowers developers to store and manipulate data efficiently, ultimately enhancing application performance. -
Question:
Who is this book suitable for?
Answer: The book is ideal for both beginners and seasoned programmers who wish to deepen their understanding of data structures and algorithms. Whether you are a student learning coding, a software developer, or a data scientist, the hands-on exercises and real-world applications equipped in this book make it relevant for anyone aiming to improve their coding skills or tackle complex data problems. -
Question:
What programming concepts are covered in the book?
Answer: The book thoroughly covers essential programming concepts, including recursion, algorithm complexity, and data storage methodologies. Readers will learn how to evaluate the performance of algorithms, manage memory usage, and select the optimal data structures based on specific problems. This creates a strong foundation to effectively solve coding challenges and develop efficient applications. -
Question:
Are there practical applications of data structures and algorithms in real-world scenarios?
Answer: Yes, the book emphasizes practical applications by presenting real-world scenarios where data structures and algorithms solve complex problems. For instance, understanding how to use trees for decision-making in applications like games or employing graphs for navigation algorithms can significantly enhance the functionality and performance of software solutions in various domains. -
Question:
What tools do I need to get started with the book?
Answer: To maximize your learning, having a working installation of Python is essential, preferably Python 3.x. A text editor or Integrated Development Environment (IDE) like PyCharm or Visual Studio Code is also recommended for writing and testing your code. The book provides hands-on exercises, allowing you to implement concepts directly, reinforcing your understanding through practice. -
Question:
Is the content of this book suitable for self-study?
Answer: Absolutely! The book is structured to support self-learners with clear explanations and step-by-step code examples. Each chapter builds upon the previous one, enabling readers to grasp even complex concepts independently. The exercises provided at the end of each section encourage practice, ensuring that learners can apply what they've studied effectively. -
Question:
How does this book help improve application performance?
Answer: By utilizing the knowledge of data structures and algorithms presented in the book, developers can create more optimized and efficient applications. For example, selecting the right data structure can reduce the time complexity of data retrieval operations, resulting in performance gains in applications ranging from web servers to data analysis tools. -
Question:
What are some key data structures discussed in the book?
Answer: The book discusses several essential data structures, including arrays, linked lists, stacks, queues, trees, and hash tables. Each structure comes with detailed explanations of its operations and appropriate use cases, allowing readers to understand when and why to use each one in programming tasks, greatly improving overall efficiency in data handling. -
Question:
Can this book help prepare for technical interviews?
Answer: Yes, this book can be a valuable resource for preparing technical interviews as it covers crucial topics frequently asked by employers, including problem-solving using data structures and understanding algorithm complexities. Practicing the exercises can help build the analytical skills necessary to tackle coding challenges that one may face during interviews. -
Question:
Where can I buy 'Hands-On Data Structures and Algorithms with Python'?
Answer: You can purchase 'Hands-On Data Structures and Algorithms with Python' from Ubuy, available in Slovenia. Ubuy offers a variety of options for this title, ensuring you can conveniently find a format that suits your preferences, whether for direct reading or digital formats.
Algorithms Editorial Review
Hands-On Data Structures and Algorithms with Python: Store, manipulate, and access data effectively and boost the performance of your applications, 3rd Edition offers an accessible introduction to essential data structures and algorithms specifically tailored for Python. The book excels in simplifying complex topics, making it a valuable resource for both beginners and intermediate programmers. It covers vital concepts such as linked lists, stacks, heaps, and various sorting algorithms alongside practical implementations. Reviewers appreciate its user-friendly explanations and pedagogical approach, although some have noted the presence of typos and suggest more practice problems would enhance the book further. Overall, it's a strong recommendation for anyone looking to build a solid foundation in data structures and algorithms.
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Pros
- Easy to read and understand
- Covers essential data structures and algorithms
- Great for beginner and intermediate programmers
- Includes helpful diagrams and flow charts
- Makes learning Python fun and engaging
Cons
- Lacks additional practice problems for reinforcement
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Features & Benefits
- Learn to use data structures and algorithms to boost the performance and scalability of applications
- Implement searching, sorting, and selection algorithms
- Understand key string-matching algorithms and dynamic programming techniques
- Learn how to analyze and compare Python algorithms
- Use asymptotic notation to analyze algorithm performance with regard to time and space complexities
- Suitable for developers and programmers with basic Python programming knowledge
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