The Resource Numerical Python : Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib, by Robert Johansson, (electronic resource)

Numerical Python : Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib, by Robert Johansson, (electronic resource)

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
by Robert Johansson
Creator
Contributor
Author
Author
Provider
Subject
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 brand-new 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 high-level syntax and multiple options for data analysis. After reading this book, readers will be familiar with many computing techniques including array-based and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical modeling and machine learning
http://library.link/vocab/creatorName
Johansson, Robert
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
o9-Q9c7ztfQ
Image bit depth
0
LC call number
QA76.73.P98
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
SpringerLink
http://library.link/vocab/subjectName
  • Python (Computer program language)
  • Computer software
  • Big data
  • Artificial intelligence
  • Python
  • Mathematical Software
  • Big Data
  • Artificial Intelligence
Label
Numerical Python : Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib, by Robert Johansson, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
1. Introduction to Computing with Python -- 2. Vectors, Matrices and Multidimensional Arrays -- 3. Symbolic Computing -- 4. Plotting and Visualization -- 5. Equation Solving -- 6. Optimization -- 7. Interpolation -- 8. Integration -- 9. Ordinary Differential Equations -- 10. Sparse Matrices and Graphs -- 11. Partial Differential Equations -- 12. Data Processing and Analysis -- 13. Statistics -- 14. Statistical Modeling -- 15. Machine Learning -- 16. Bayesian Statistics -- 17. Signal and Image Processing -- 18. Data Input and Output -- 19. Code Optimization
Dimensions
unknown
Edition
2nd ed.
Extent
XXIII, 700 p. 168 illus., 63 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9781484242469
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-1-4842-4246-9
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-1-4842-4246-9
Label
Numerical Python : Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib, by Robert Johansson, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
1. Introduction to Computing with Python -- 2. Vectors, Matrices and Multidimensional Arrays -- 3. Symbolic Computing -- 4. Plotting and Visualization -- 5. Equation Solving -- 6. Optimization -- 7. Interpolation -- 8. Integration -- 9. Ordinary Differential Equations -- 10. Sparse Matrices and Graphs -- 11. Partial Differential Equations -- 12. Data Processing and Analysis -- 13. Statistics -- 14. Statistical Modeling -- 15. Machine Learning -- 16. Bayesian Statistics -- 17. Signal and Image Processing -- 18. Data Input and Output -- 19. Code Optimization
Dimensions
unknown
Edition
2nd ed.
Extent
XXIII, 700 p. 168 illus., 63 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9781484242469
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-1-4842-4246-9
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-1-4842-4246-9

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