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Data Structures & Algorithms in Python
AED 317
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Learn how data structures make programs (and programmers) more efficient
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What Stands Out
Product Details
- Practical introduction to data structures and algorithms using Python
- Focus on real-world examples, intuitive visualizations, and limited complexity
- Coverage of arrays, sorting, stacks, queues, linked lists, binary trees, hash tables, graphs, and more
- Development of core computer science skills for writing efficient code
- Exercises, thought experiments, and longer programming projects included for self-study or classroom settings
- Emphasis on understanding how data structures operate and their practical application
| Publisher | Addison-Wesley Professional |
| Publication date | September 6, 2022 |
| Edition | 1st |
| Language | English |
| File size | 107.1 MB |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 927 pages |
| ISBN-13 | 978-0134855899 |
| Page Flip | Enabled |
| Reading age | 18 years and up |
| Item Weight | 0.6 lbs (270 grams) |
Who Should Buy?
-
Aspiring Programmers
Beginners learning Python will benefit from clear explanations and practical examples of data structures and algorithms.
-
Software Developers
Experienced developers looking to enhance their knowledge of algorithms and data structures specific to Python will find it invaluable.
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Students & Learners
Ideal for students in computer science or related fields who require solid foundational knowledge for coding interviews.
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Absolute Beginners
Individuals without any programming background may find the content too complex and challenging to grasp effectively.
Product Description
Data Structures & Algorithms in Python
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AED 317
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Features & Benefits
- Practical introduction to data structures and algorithms in Python
- Real-world examples and intuitive visualizations
- Core computer science skills to write efficient software
- Implementation skills that can be used in any language
- Ideal for self-study or classroom setting
- Focus on efficiency while limiting complexity and math
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