Python for scientific computation and artificial intelligence. (2023)

• Record Type: Book
• Further Information: Note: Stephen Lynch.
• Authors: Lynch, Stephen, 1964-
• Contents: Section I. An Introduction to Python. 1. The IDLE Integrated Development Learning Environment. 2. Anaconda, Spyder and the Libraries NumPy, Matplotlib and SymPy. 3. Jupyter Notebooks and Google Colab. 4. Python for AS-Level (High School) Mathematics. 5. Python for A-Level (High School) Mathematics. Section II. Python for Scientific Computing. 6. Biology. 7. Chemistry. 8. Data Science. 9. Economics. 10. Engineering. 11. Fractals and Multifractals. 12. Image Processing. 13. Numerical Methods for Ordinary and Partial Differential Equations. 14. Physics. 15. Statistics. Section III. Artificial Intelligence. 16. Brain Inspired Computing. 17. Neural Networks and Neurodynamics. 18. TensorFlow and Keras. 19. Recurrent Neural Networks. 20. Convolutional Neural Networks, TensorBoard, and Further Reading. 21. Answers and Hints to Exercises.
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2023
• Extent: 1 online resource (314 pages), illustrations (black and white, and colour)
• Subjects: 005.133; Python (Computer program language); Science -- Data processing; Artificial intelligence
• Languages: English
• ISBNs: 9781000889741; 9781000889673
• Related ISBNs: 9781032258737; 9781032258713
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
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• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.