2013, ISBN: 9781449361631

Are you new to SciPy and NumPy? Do you want to learn it quickly and easily through examples and a concise introduction? Then this is the book for you. Youll cut through the complexity of … mais…

Are you new to SciPy and NumPy? Do you want to learn it quickly and easily through examples and a concise introduction? Then this is the book for you. Youll cut through the complexity of online documentation and discover how easily you can get up to speed with these Python libraries.Ideal for data analysts and scientists in any field, this overview shows you how to use NumPy for numerical processing, including array indexing, math operations, and loading and saving data. Youll learn how SciPy helps you work with advanced mathematical functions such as optimization, interpolation, integration, clustering, statistics, and other tools that take scientific programming to a whole new level.The new edition is now available, fully revised and updated in June 2013.Learn the capabilities of NumPy arrays, element-by-element operations, and core mathematical operationsSolve minimization problems quickly with SciPys optimization packageUse SciPy functions for interpolation, from simple univariate to complex multivariate casesApply a variety of SciPy statistical tools such as distributions and functionsLearn SciPys spatial and cluster analysis classesSave operation time and memory usage with sparse matrices; EPUB \ Lawrence G. Rubin; Computing > Computer programming / software development, Elsevier Health Sciences<

2013, ISBN: 9781449361631

Are you new to SciPy and NumPy? Do you want to learn it quickly and easily through examples and a concise introduction? Then this is the book for you. Youll cut through the complexity of … mais…

Are you new to SciPy and NumPy? Do you want to learn it quickly and easily through examples and a concise introduction? Then this is the book for you. Youll cut through the complexity of online documentation and discover how easily you can get up to speed with these Python libraries.Ideal for data analysts and scientists in any field, this overview shows you how to use NumPy for numerical processing, including array indexing, math operations, and loading and saving data. Youll learn how SciPy helps you work with advanced mathematical functions such as optimization, interpolation, integration, clustering, statistics, and other tools that take scientific programming to a whole new level.The new edition is now available, fully revised and updated in June 2013.Learn the capabilities of NumPy arrays, element-by-element operations, and core mathematical operationsSolve minimization problems quickly with SciPys optimization packageUse SciPy functions for interpolation, from simple univariate to complex multivariate casesApply a variety of SciPy statistical tools such as distributions and functionsLearn SciPys spatial and cluster analysis classesSave operation time and memory usage with sparse matrices An Overview for Developers eBook eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen>Informatik, O´Reilly Media<

2013, ISBN: 9781449361631

Are you new to SciPy and NumPy? Do you want to learn it quickly and easily through examples and a concise introduction? Then this is the book for you. Youll cut through the complexity of … mais…

Are you new to SciPy and NumPy? Do you want to learn it quickly and easily through examples and a concise introduction? Then this is the book for you. Youll cut through the complexity of online documentation and discover how easily you can get up to speed with these Python libraries.Ideal for data analysts and scientists in any field, this overview shows you how to use NumPy for numerical processing, including array indexing, math operations, and loading and saving data. Youll learn how SciPy helps you work with advanced mathematical functions such as optimization, interpolation, integration, clustering, statistics, and other tools that take scientific programming to a whole new level.The new edition is now available, fully revised and updated in June 2013.Learn the capabilities of NumPy arrays, element-by-element operations, and core mathematical operationsSolve minimization problems quickly with SciPys optimization packageUse SciPy functions for interpolation, from simple univariate to complex multivariate casesApply a variety of SciPy statistical tools such as distributions and functionsLearn SciPys spatial and cluster analysis classesSave operation time and memory usage with sparse matrices; PDF; Computing > Computer programming / software development, Dundurn<

2012, ISBN: 9781449361631

An Overview for Developers, eBooks, eBook Download (PDF), [PU: O'Reilly Media], O'Reilly Media, 2012

2012, ISBN: 9781449361631

An Overview for Developers, eBook Download (PDF), eBooks, [PU: O'Reilly Media]