MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01502nam a22002657a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240806020506.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
231124b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9783030780579 |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
IISER BPR |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
ENG |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
550.285 |
| Item number |
PET |
| Edition number |
23rd |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Petrelli, Maurizio |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Introduction to python in earth science data analysis : |
| Remainder of title |
From descriptive statistics to machine learning |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st. ed |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Switzerland: |
| Name of publisher, distributor, etc |
Springer, |
| Date of publication, distribution, etc |
c2021. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xv, 239p. : |
| Other physical details |
ill. ; |
| Dimensions |
22cm. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. It drives the reader from his very first steps with Python, like setting up the environment and starting writing the first lines of codes, to proficient use in visualizing, analyzing, and modelling data in the field of Earth Science. Each chapter contains explicative examples of code, and each script is commented in detail. The book is minded for very beginners in Python programming, and it can be used in teaching courses at master or PhD levels. Also, Early careers and experienced researchers who would like to start learning Python programming for the solution of geological problems will benefit the reading of the book.<br/><br/><br/>Includes Index. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Earth Science |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data Analysis |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Descriptive Statistics |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine Learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Python |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
| Koha issues (borrowed), all copies |
2 |
