The Resource Numerical Python: : scientific computing and data science applications with Numpy, SciPy and Matplotlib, Robert Johansson
Numerical Python: : scientific computing and data science applications with Numpy, SciPy and Matplotlib, Robert Johansson
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The item Numerical Python: : scientific computing and data science applications with Numpy, SciPy and Matplotlib, Robert Johansson represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.This item is available to borrow from 1 library branch.
Resource Information
The item Numerical Python: : scientific computing and data science applications with Numpy, SciPy and Matplotlib, Robert Johansson represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.
This item is available to borrow from 1 library branch.
 Summary
 Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computing, financial engineering, business management and more. Numerical Python, Second Edition, presents many brandnew case study examples of applications in data science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid development and exploratory computing due to its simple and highlevel syntax and multiple options for data analysis. After reading this book, readers will be familiar with many computing techniques including arraybased and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domainspecific computational problems, such as differential equation solving, data analysis, statistical modeling and machine learning. 
 Language
 eng
 Edition
 Second edition.
 Extent
 xxiii, 700 pages
 Isbn
 9781484242452
 Label
 Numerical Python: : scientific computing and data science applications with Numpy, SciPy and Matplotlib
 Title
 Numerical Python:
 Title remainder
 scientific computing and data science applications with Numpy, SciPy and Matplotlib
 Statement of responsibility
 Robert Johansson
 Language
 eng
 Summary
 Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computing, financial engineering, business management and more. Numerical Python, Second Edition, presents many brandnew case study examples of applications in data science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid development and exploratory computing due to its simple and highlevel syntax and multiple options for data analysis. After reading this book, readers will be familiar with many computing techniques including arraybased and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domainspecific computational problems, such as differential equation solving, data analysis, statistical modeling and machine learning. 
 Assigning source
 Provided by publisher
 http://library.link/vocab/creatorName
 Johansson, Robert
 Index
 no index present
 Literary form
 non fiction
 http://library.link/vocab/subjectName

 Python (Computer program language)
 Computer programming
 Label
 Numerical Python: : scientific computing and data science applications with Numpy, SciPy and Matplotlib, Robert Johansson
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Control code
 on1055824896
 Dimensions
 26 cm
 Edition
 Second edition.
 Extent
 xxiii, 700 pages
 Isbn
 9781484242452
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 Other physical details
 illustrations (some color)
 System control number
 (OCoLC)1055824896
 Label
 Numerical Python: : scientific computing and data science applications with Numpy, SciPy and Matplotlib, Robert Johansson
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Control code
 on1055824896
 Dimensions
 26 cm
 Edition
 Second edition.
 Extent
 xxiii, 700 pages
 Isbn
 9781484242452
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 Other physical details
 illustrations (some color)
 System control number
 (OCoLC)1055824896
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.eui.eu/portal/NumericalPythonscientificcomputinganddata/Z52BJI8P3c/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/portal/NumericalPythonscientificcomputinganddata/Z52BJI8P3c/">Numerical Python: : scientific computing and data science applications with Numpy, SciPy and Matplotlib, Robert Johansson</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute</a></span></span></span></span></div>