Python for scientific computing and artificial intelligence
Material type:
TextSeries: Chapman & Hall/CRC the Python seriesPublication details: Boca Raton : CRC Press, Taylor & Francis Group, 2023. Description: xx, 313 pISBN: 9781032258713Subject(s): Python (Computer program language) | Science -- Data processing | Artificial intelligenceDDC classification: 004.43 Online resources: Table of content | Reviews Summary: Python for Scientific Computing and Artificial Intelligence is split into 3 parts: in Section 1, the reader is introduced to the Python programming language and shown how Python can aid in the understanding of advanced High School Mathematics. In Section 2, the reader is shown how Python can be used to solve real-world problems from a broad range of scientific disciplines. Finally, in Section 3, the reader is introduced to neural networks and shown how TensorFlow (written in Python) can be used to solve a large array of problems in Artificial Intelligence (AI).
This book was developed from a series of national and international workshops that the author has been delivering for over twenty years. The book is beginner friendly and has a strong practical emphasis on programming and computational modelling.
| Item type | Current library | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
Book
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NISER LIBRARY | 004.43 LYN-P (Browse shelf(Opens below)) | Checked out to Dhiman Baruah (2411139) | 01/03/2025 | 25653 |
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| 004.43 KES-O OpenGL programming guide | 004.43 LAF-O Object oriented programming in C++ | 004.43 LIN-I Introduction to formal languages and automata(An) | 004.43 LYN-P Python for scientific computing and artificial intelligence | 004.43 MON-M Maple V: programming guide | 004.43 RAJ-C Computer programming in fortan 90 and 95 | 004.43 RAJ-C Computer programming in fortan 90 and 95 |
Includes bibliographical references and index.
Python for Scientific Computing and Artificial Intelligence is split into 3 parts: in Section 1, the reader is introduced to the Python programming language and shown how Python can aid in the understanding of advanced High School Mathematics. In Section 2, the reader is shown how Python can be used to solve real-world problems from a broad range of scientific disciplines. Finally, in Section 3, the reader is introduced to neural networks and shown how TensorFlow (written in Python) can be used to solve a large array of problems in Artificial Intelligence (AI).
This book was developed from a series of national and international workshops that the author has been delivering for over twenty years. The book is beginner friendly and has a strong practical emphasis on programming and computational modelling.
Description based on print version record and CIP data provided by publisher.
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