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Numerical Python = a practical techn...

Johansson, Robert.

Numerical Python = a practical techniques approach for industry /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Numerical Python/ by Robert Johansson.
Reminder of title:	a practical techniques approach for industry /
Author:	Johansson, Robert.
Published:	Berkeley, CA :Apress : : 2015.,
Description:	xxii, 487 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Mathematical Software. -
Online resource:	http://dx.doi.org/10.1007/978-1-4842-0553-2
ISBN:	9781484205532

Numerical Python = a practical techniques approach for industry /
Johansson, Robert.

Numerical Pythona practical techniques approach for industry /[electronic resource] :by Robert Johansson. - Berkeley, CA :Apress :2015. - xxii, 487 p. :ill., digital ;24 cm.

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 -- 20. Appendix: Installation.

ISBN: 9781484205532

Standard No.: 10.1007/978-1-4842-0553-2doiSubjects--Topical Terms:

672446
Mathematical Software.

LC Class. No.: QA76.73.P98

Dewey Class. No.: 005.133

Numerical Python = a practical techniques approach for industry /
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020 $a 9781484205549 $q (paper)
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100 1 $a Johansson, Robert. $3 1070179
245 1 0 $a Numerical Python $h [electronic resource] : $b a practical techniques approach for industry / $c by Robert Johansson.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2015.
300 $a xxii, 487 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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 -- 20. Appendix: Installation.
650 2 4 $a Mathematical Software. $3 672446
650 2 4 $a Programming Languages, Compilers, Interpreters. $3 669782
650 1 4 $a Computer Science. $3 593922
650 0 $a Computer programming. $3 527822
650 0 $a Python (Computer program language) $3 566246
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-0553-2
950 $a Professional and Applied Computing (Springer-12059)

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