000			02008nam a22002777a 4500
003			OSt
005			20250212154612.0
008			250212b |||||||| |||| 00| 0 hin d
020			_a9781032258713
040			_aNISER LIBRARY _beng _cNISER LIBRARY
082	0	0	_a004.43 _bLYN-P
100	1		_aLynch, Stephen
245	1	0	_aPython for scientific computing and artificial intelligence
260			_aBoca Raton : _bCRC Press, Taylor & Francis Group, _c2023.
300			_axx, 313 p.
490	0		_aChapman & Hall/CRC the Python series
504			_aIncludes bibliographical references and index.
520			_aPython 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.
588			_aDescription based on print version record and CIP data provided by publisher.
650		0	_aPython (Computer program language)
650		0	_aScience _xData processing.
650		0	_aArtificial intelligence.
856			_3Table of content _uhttps://www.routledge.com/Python-for-Scientific-Computing-and-Artificial-Intelligence/Lynch/p/book/9781032258713#googlePreviewContainer
856			_3Reviews _uhttps://www.goodreads.com/book/show/127574269-python-for-scientific-computing-and-artificial-intelligence?ref=nav_sb_ss_1_13#CommunityReviews
942			_2udc _cBK
999			_c35642 _d35642