東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Introduction to Python in earth scie...

Petrelli, Maurizio.

FindBook

Google Book

Amazon

博客來

Introduction to Python in earth science data analysis = from descriptive statistics to machine learning /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Introduction to Python in earth science data analysis/ by Maurizio Petrelli.
其他題名:	from descriptive statistics to machine learning /
作者:	Petrelli, Maurizio.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xv, 229 p. :ill., digital ;24 cm.
內容註:	Part I Python for Geologists, a kick-off -- Setting Up Your Python Environment, Easily -- Python Essentials for a Geologist -- Start Solving Geological Problems Using Python -- Part II Describing Geological Data -- Graphical Visualization of a Geological Dataset -- Descriptive Statistics -- Part III Integrals and Differential Equations in Geology -- Numerical Integration -- Ordinary Differential Equations (ODE) -- Partial Differential Equations (PDE) -- Part IV Probability Density Functions and Error Analysis -- Probability Density Functions and their Use in Geology -- Error Analysis -- Part V Robust Statistics and Machine Learning -- Introduction to Robust Statistics -- 12. Machine Learning.
Contained By:	Springer Nature eBook
標題:	Geology - Data processing. -
電子資源:	https://doi.org/10.1007/978-3-030-78055-5
ISBN:	9783030780555

Introduction to Python in earth science data analysis = from descriptive statistics to machine learning /
Petrelli, Maurizio.

Introduction to Python in earth science data analysisfrom descriptive statistics to machine learning /[electronic resource] :by Maurizio Petrelli. - Cham :Springer International Publishing :2021. - xv, 229 p. :ill., digital ;24 cm. - Springer textbooks in earth sciences, geography and environment,2510-1315. - Springer textbooks in earth sciences, geography and environment..

Part I Python for Geologists, a kick-off -- Setting Up Your Python Environment, Easily -- Python Essentials for a Geologist -- Start Solving Geological Problems Using Python -- Part II Describing Geological Data -- Graphical Visualization of a Geological Dataset -- Descriptive Statistics -- Part III Integrals and Differential Equations in Geology -- Numerical Integration -- Ordinary Differential Equations (ODE) -- Partial Differential Equations (PDE) -- Part IV Probability Density Functions and Error Analysis -- Probability Density Functions and their Use in Geology -- Error Analysis -- Part V Robust Statistics and Machine Learning -- Introduction to Robust Statistics -- 12. Machine Learning.

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.

ISBN: 9783030780555

Standard No.: 10.1007/978-3-030-78055-5doiSubjects--Topical Terms:

544120
Geology
--Data processing.

LC Class. No.: QE48.8 / .P48 2021

Dewey Class. No.: 550.285

Introduction to Python in earth science data analysis = from descriptive statistics to machine learning /
LDR:02605nmm a2200349 a 4500 001 2251266
003 DE-He213
005 20210916173848.0
006 m d
007 cr nn 008maaau
008 220215s2021 sz s 0 eng d
020 $a 9783030780555 $q (electronic bk.)
020 $a 9783030780548 $q (paper)
024 7 $a 10.1007/978-3-030-78055-5 $2 doi
035 $a 978-3-030-78055-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QE48.8 $b .P48 2021
072 7 $a RB $2 bicssc
072 7 $a SCI019000 $2 bisacsh
072 7 $a RB $2 thema
072 7 $a TQ $2 thema
082 0 4 $a 550.285 $2 23
090 $a QE48.8 $b .P494 2021
100 1 $a Petrelli, Maurizio. $3 3518078
245 1 0 $a Introduction to Python in earth science data analysis $h [electronic resource] : $b from descriptive statistics to machine learning / $c by Maurizio Petrelli.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xv, 229 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer textbooks in earth sciences, geography and environment, $x 2510-1315
505 0 $a Part I Python for Geologists, a kick-off -- Setting Up Your Python Environment, Easily -- Python Essentials for a Geologist -- Start Solving Geological Problems Using Python -- Part II Describing Geological Data -- Graphical Visualization of a Geological Dataset -- Descriptive Statistics -- Part III Integrals and Differential Equations in Geology -- Numerical Integration -- Ordinary Differential Equations (ODE) -- Partial Differential Equations (PDE) -- Part IV Probability Density Functions and Error Analysis -- Probability Density Functions and their Use in Geology -- Error Analysis -- Part V Robust Statistics and Machine Learning -- Introduction to Robust Statistics -- 12. Machine Learning.
520 $a 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.
650 0 $a Geology $x Data processing. $3 544120
650 0 $a Python (Computer program language) $3 729789
650 1 4 $a Earth System Sciences. $3 1566948
650 2 4 $a Simulation and Modeling. $3 890873
650 2 4 $a Applied Statistics. $3 3300946
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Springer textbooks in earth sciences, geography and environment. $3 3241931
856 4 0 $u https://doi.org/10.1007/978-3-030-78055-5
950 $a Earth and Environmental Science (SpringerNature-11646)