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020			_a9783658335526
024	7		_a10.1007/978-3-658-33552-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.73 .P98 _b2021 EB
100	1		_aSchäfer, Christoph _9682242
245	1	0	_aQuickstart Python : _ban Introduction to Programming for STEM Students _cby Christoph Schäfer
250			_aFirst edition 2021
264		1	_aWiesbaden _bSpringer International Publising _c2021
300			_a1 recurso en línea (VIII, 57 páginas) _b103 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aSpringer essentials _x2731-3115
490	0		_aComputer Science (SpringerNature-11645)
490	0		_aComputer Science (R0) (SpringerNature-43710)
505	0		_aInstallation of Python and basic structure of a Python program -- data types, variables, lists, strings, dictionaries, operators and functions -- structuring with conditional statements and modules -- extensions for natural scientists: NumPy, SciPy, Matplotlib, pandas.
520	3		_aChristoph Schäfer introduces the great world of programming with Python and provides a quick introduction to independent script development. He points out how the programming language Python has established itself in recent years alongside MATLAB and R as a standard at scientific workplaces in research and development, and shows that the great popularity of Python is based on its easy extensibility: It is very easy to use modules from other developers in your own scripts and programs. In particular, the author presents the modules NumPy, SciPy and Matplotlib, which offer scientists and engineers a perfect development environment for scientific and technical computing, for applications in physics, chemistry, biology and computer science.Python is also used in the latest applications in the highly topical fields of Big Data Science and Machine Learning This Springer essential is a translation of the original German 1st edition essentials, Schnellstart Python by Christoph Schäfer, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2019. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors. The content · Installation of Python and basic structure of a Python program · Data types, variables, lists, strings, dictionaries, operators and functions · Structuring with conditional statements and modules · Extensions for scientists: NumPy, SciPy, Matplotlib, pandas The target groups · Students and lecturers of STEM subjects, especially physics · Users in practice The authorDr. Christoph Schäfer teaches and conducts research in the Computational Physics Department at the Institute of Astronomy and Astrophysics at the Eberhard Karls University of Tübingen. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.
988			_aSpringer_Computer_2021
650		7	_2embne _9161036 _aPython (Lenguaje de programación)
776	0	8	_iPrinted edition: _z9783658335519
776	0	8	_iPrinted edition: _z9783658335533
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-658-33552-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
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998			_b02/2022 _dz _eh _zSI