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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
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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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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
Product Price History
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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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