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A Common-Sense Guide to Data Structures and Algorithms in Python, Volume 1: Level Up Your Core Programming Skills
85% of respondents would recommend this to a friend
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Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently.
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What Stands Out
Product Details
| Publisher | Pragmatic Bookshelf |
| Publication date | January 9, 2024 |
| Edition | 1st |
| Language | English |
| Print length | 504 pages |
| ISBN-13 | 979-8888650356 |
| Item Weight | 2.05 pounds (930 grams) |
| Dimensions | 7.25 x 1 x 9 inches (18.4 x 2.5 x 22.9 cm) |
Who Should Buy?
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Novice Programmers
Beginners looking to grasp data structures and algorithms will find clear explanations and practical examples beneficial.
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Self-Learners
Individuals who prefer self-study can utilize the structured content to enhance their programming skills independently.
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Python Enthusiasts
Those interested in Python specifically will appreciate the focus on this programming language throughout the book.
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Advanced Developers
Experienced programmers seeking complex or advanced topics may not find the content sufficiently challenging.
Product Description
A Common-Sense Guide to Data Structures and Algorithms in Python, Volume 1: Level Up Your Core Programming Skills
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Structured Design Editorial Review
A Common-Sense Guide to Data Structures and Algorithms in Python, Volume 1: Level Up Your Core Programming Skills offers a straightforward approach to mastering the complexities of programming. With its simple, to-the-point explanations of data structures and algorithms, this book is highly regarded by readers who appreciate its clarity, particularly in chapters like the one on Tries. The book, published by Pragmatic Bookshelf, spans 504 pages, providing ample material for readers looking to solidify their understanding of core programming skills in Python. Those with a foundational knowledge of Python will find this guide not only informative but also practically applicable.
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Pros
- Clear and simple explanations of concepts
- Practical applications in Python
- Engaging chapters that enhance understanding
- Ideal for beginners and intermediate learners
- Well-structured for progressive learning
Cons
- Some readers may desire more advanced topics
Product Price History
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€ 67
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Features & Benefits
- Learn to use Big O notation to optimize Python code
- Utilize data structures like hash tables and trees to enhance code efficiency
- Master algorithms for faster web and mobile app development
- Practice exercises provided in every chapter for hands-on learning
- Python-exclusive code examples, exercises, and solutions
- Enhance code speed and scalability with advanced data structures like binary trees and graphs
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