MARC details
| 000 -LEADER |
| fixed length control field |
02301nam a2200301 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
ISI Library, Kolkata |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20260511153628.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
260511b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9783031077180 |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
ISI Library |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Edition number |
23 |
| Classification number |
005.133 |
| Item number |
T777 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Trauth, Martin H., |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
| Title |
Python recipes for earth sciences / |
| Statement of responsibility, etc |
Martin H. Trauth. |
| 250 ## - EDITION STATEMENT |
| Edition statement |
First edition. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
| Place of publication, distribution, etc |
Cham, Switzerland : |
| Name of publisher, distributor, etc |
Springer, |
| Date of publication, distribution, etc |
2022. |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
xii, 453 pages : |
| Other physical details |
illustrations (chiefly color) ; |
| Dimensions |
24 cm |
| 490 1# - SERIES STATEMENT |
| Series statement |
Springer textbooks in earth sciences, geography and environment |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
| Formatted contents note |
Introduction to Python -- Scientific computing and visualization -- Univariate and multivariate statistics -- Time series analysis -- Signal processing -- Spatial and directional data analysis -- Image processing and remote sensing -- Geoscientific applications and modeling. |
| 520 ## - SUMMARY, ETC. |
| Summary, etc |
This textbook introduces the use of Python programming for data analysis and computational applications in the earth sciences. Designed for students, researchers, and professionals in geosciences, the book explains how Python can be employed for statistical analysis, signal processing, image analysis, spatial data interpretation, and scientific visualization. Through practical examples and geoscientific datasets, the author demonstrates methods for handling univariate, bivariate, and multivariate data, analyzing time series, processing remote sensing imagery, and working with geographic and environmental information. The work combines theoretical explanations with executable Python recipes and computational workflows, enabling readers to develop practical programming skills for geoscientific research and modeling. Supplementary materials and sample datasets further support independent learning and advanced analytical applications in earth science investigations. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Earth sciences |
| General subdivision |
Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Python (Computer program language) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Geology |
| General subdivision |
Statistical methods. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Geophysics |
| General subdivision |
Computer programs. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Scientific computing. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
| Uniform title |
Springer textbooks in earth sciences, geography and environment. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Koha item type |
Books |
| Source of classification or shelving scheme |
Dewey Decimal Classification |