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Total Size:
12.0 MB
Info Hash:
209FAED20666233F748A48E8AC2B65B5BE5B1EE9
Added By:
Added:
Sept. 5, 2025, 9:58 a.m.
Stats:
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(Last updated: Sept. 5, 2025, 9:59 a.m.)
| File | Size |
|---|---|
| Norex E. Data Structure in Python. Essential Techniques 2024.pdf | 3.0 MB |
| Smith W. Data Structure in Python. From Basics to Expert Proficiency 2024.pdf | 9.0 MB |
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22.4 MB
[10
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2023-07-01
| Uploaded by indexFroggy | Size 22.4 MB | Health [ 10 /3 ] | Added 2023-07-01 |
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12.0 MB
[65
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2025-09-05
| Uploaded by andryold1 | Size 12.0 MB | Health [ 65 /12 ] | Added 2025-09-05 |
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431.5 MB
[1
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2023-07-01
| Uploaded by Unshackle686 | Size 431.5 MB | Health [ 1 /3 ] | Added 2023-07-01 |
NOTE
SOURCE: Smith W. Data Structure in Python. From Basics to Expert Proficiency 2024
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COVER
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MEDIAINFO
Textbook in PDF format "Data Structure in Python: From Basics to Expert Proficiency" offers a comprehensive guide to understanding and implementing the core principles of data structures and algorithms using the Python programming language. Crafted for both beginners and experienced programmers, this book provides a clear and detailed exposition of essential data structures such as arrays, linked lists, stacks, queues, trees, and graphs. Each concept is meticulously explained with theoretical insights and practical Python implementations, ensuring a thorough grasp of the subject matter. Covering topics from fundamental algorithms to advanced data structures, this book emphasizes the importance of algorithm analysis, Big O notation, and performance optimization. Readers will benefit from the logical progression of topics, hands-on examples, and practical applications that reinforce learning. Whether you are looking to build a solid foundation in data structures or refine your expertise for complex problem-solving, this book serves as an invaluable resource in your journey towards mastering data structures and algorithms with Python. Preface Introduction to Data Structures and Algorithms Python Programming Basics Array Structures Linked Lists Stacks and Queues Trees Graphs Hash Tables Sorting and Searching Algorithms Advanced Data Structures
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