000			01770cam a22002298i 4500
001			21514043
006			m |o d |
007			cr |||||||||||
010			_a 2020017918
020			_a9781108745918
082	0	0	_a005.133 _bHIL/L
100	1		_aHill, Christian
245	1	0	_aLearning scientific programming with Python /
250			_a2
260			_aNew York _bCambridge _c2020
300			_a557p.
520			_a"Learn to master basic programming tasks from scratch with real-life, scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to gain proficiency quickly. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving on to the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualization, this textbook also discusses the use of Jupyter Notebooks to build rich-media, shareable documents for scientific analysis. The second edition features a new chapter on data analysis with the pandas library and comprehensive updates, and new exercises and examples. A final chapter introduces more advanced topics such as floating-point precision and algorithm stability, and extensive online resources support further study. This textbook represents a targeted package for students requiring a solid foundation in Python programming"--
650		0	_aScience--Data processing
650		0	_aScience--Mathematics
650		0	_aPython (Computer program language)
942			_cBK
999			_c66981 _d66981