MARC details
000 -LEADER |
fixed length control field |
03499nam a22004815i 4500 |
001 - CONTROL NUMBER |
control field |
ssj0002204375 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
WaSeSS |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20220421091625.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
fixed length control field |
m d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr n |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
181224s2019 xxu| o |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781484242452 (print) |
024 7# - OTHER STANDARD IDENTIFIER |
Standard number or code |
10.1007/978-1-4842-4246-9 |
Source of number or code |
doi |
040 ## - CATALOGING SOURCE |
Modifying agency |
WaSeSS |
Transcribing agency |
AIMIT LIBRARY |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA76.73.P98 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UMX |
Source |
bicssc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
COM051360 |
Source |
bisacsh |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UMX |
Source |
thema |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
005.1372 |
Edition number |
2 |
Item number |
JOHR |
092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) |
Classification number |
EBOOK |
999 ## - SYSTEM CONTROL NUMBERS (KOHA) |
Koha Dewey Subclass [OBSOLETE] |
03657361 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Johansson, Robert. |
9 (RLIN) |
30671 |
245 10 - TITLE STATEMENT |
Title |
Numerical python : |
Remainder of title |
Scientific computing and data science applications with numpy, SciPy and matplotlib / |
Statement of responsibility, etc. |
By Robert Johansson. |
250 ## - EDITION STATEMENT |
Edition statement |
2nd ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
New York : |
Name of publisher, distributor, etc. |
Apress , |
Date of publication, distribution, etc. |
2022. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xxiii, 700p. ; |
Dimensions |
24 cm. |
347 ## - DIGITAL FILE CHARACTERISTICS |
File type |
text file |
Encoding format |
PDF |
Source |
rda |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
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. |
506 ## - RESTRICTIONS ON ACCESS NOTE |
Terms governing access |
Requires an SPL library card. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
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. |
538 ## - SYSTEM DETAILS NOTE |
System details note |
Mode of access: World Wide Web. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Symbolic computing |
9 (RLIN) |
30672 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
optimization |
9 (RLIN) |
30673 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Data processing and analysis |
9 (RLIN) |
30674 |
655 #7 - INDEX TERM--GENRE/FORM |
Genre/form data or focus term |
Electronic books. |
Source of term |
local |
9 (RLIN) |
30675 |
773 0# - HOST ITEM ENTRY |
Title |
Springer eBooks |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9781484242452 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9781484242476 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9781484246481 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Link text |
View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition. |
Uniform Resource Identifier |
<a href="https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484242469/?ar">https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484242469/?ar</a> |
Public note |
An e-book available through full-text database. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Book |
Edition |
2nd |
Call number prefix |
005.1372 JOHR |