Advanced applications of Python data structures and algorithms /
| Corporate Author: | |
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Hershey, PA :
IGI Global, Engineering Science Reference, an imprint of IGI Global,
[2023]
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| Series: | Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Ch. 1. Fundamentals of data structures : stacks, queues, linked lists, and graphs
- ch. 2. Organizing data using lists : a sequential data structure
- ch. 3. Linear data structures and their applications
- ch. 4. A comprehensive analysis of stack and queue data structures and their uses
- ch. 5. Dynamic programming with Python
- ch. 6. Exploratory data analysis in Python
- ch. 7. Empowering scientific computing and data manipulation with numerical Python (NumPy)
- ch. 8. Exploring Python's powerful data collections
- ch. 9. Interactive visualization with Plotly Express
- ch. 10. Enhancing big data analytics and recommendation systems with Python : hierarchical clustering and filtering using slicing technique
- ch. 11. Optimizing energy consumption in wireless sensor networks using Python libraries
- ch. 12. An exploratory study of Python's role in the advancement of cryptocurrency and blockchain ecosystems
- ch. 13. Exploring the role of Python in self-supervised contrastive learning for generating medical imaging reports
- ch. 14. Python's role in predicting type 2 diabetes using insulin DNA sequence.