Numerical Python : (Record no. 39281)

MARC details
000 -LEADER
fixed length control field 02596nam a22003137a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260820003554.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260820b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9798868812385
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.133
Item number T24 JOH
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Johansson, Robert
245 ## - TITLE STATEMENT
Title Numerical Python :
Remainder of title scientific computing and Data Science applications with Numpy, SciPy and Matplotlib /
Statement of responsibility, etc Robert Johansson
250 ## - EDITION STATEMENT
Edition statement 3rd.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication New Delhi :
Name of publisher Apress,
Year of publication 2024.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xx, 492p.
520 ## - SUMMARY, ETC.
Summary, etc Learn how to leverage the scientific computing and data analysis capabilities of Python, its standard library, and popular open-source numerical Python packages like NumPy, SymPy, SciPy, matplotlib, and more. This book demonstrates how to work with mathematical modeling and solve problems with numerical, symbolic, and visualization techniques. It explores applications in science, engineering, data analytics, and more.<br/><br/>Numerical Python, Third Edition, presents many case study examples of applications in fundamental scientific computing disciplines, as well as in data science and statistics. This fully revised edition, updated for each library's latest version, demonstrates Python's power for rapid development and exploratory computing due to its simple and high-level syntax and many powerful libraries and tools for computation and data analysis. <br/><br/>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.
520 ## - SUMMARY, ETC.
Summary, etc What You'll Learn: <br/>• Work with vectors and matrices using NumPy<br/>• Review Symbolic computing with SymPy<br/>• Plot and visualize data with Matplotlib<br/>• Perform data analysis tasks with Pandas and SciPy<br/>• Understand statistical modeling and machine learning with statsmodels and scikit-learn<br/>• Optimize Python code using Numba and Cython<br/><br/>
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Python (Computer program language)
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Numerical analysis
General subdivision Data processing
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Scientific computing
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Data science
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Numerical methods
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Mathematical software
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Data processing
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Machine learning
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Statistics
General subdivision Data processing
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer graphics
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Lost status Damaged status Permanent Location Current Location Shelving location Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number last updated Koha item type
    Nalanda Library Nalanda Library Circulation Books 20/08/2026 International book center 1999.00 005.133 T24 JOH 23136 20/08/2026 Books