000			01880 a2200229 4500
999			_c54634 _d54634
008			210314b ||||| |||| 00| 0 eng d
020			_a9781108745918
082			_a005.133 _bHIL
100			_aHill, Christian
245			_aLearning scientific programming with Python
250			_a2nd ed.
260			_bCambridge University Press, _c2020. _aCambridge:
300			_axi, 557 p. : ill. ; _bpb, _c25 cm.
365			_aGBP _b34.99
504			_aIncludes bibliographical references and index.
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			_aComputer Programming
650			_aPython Programming
650			_aScience-Data processing
650			_aScientific Programing
942			_2ddc _cTD