Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Oktober 2025
Genre:	Naturwissensch., Medizin, Technik
	Ackerbau und landwirtschaftliche Erzeugnisse / Agricultural Data Analysis / Agricultural Problem Solving / Agriculture / Agronomy / Coding and Information Theory / Computer programming / Data Science / Datenbanken / Digital Agriculture / Informationstheorie / Kodierungstheorie und Verschlüsselung (Kryptologie) / Programmier- und Skriptsprachen, allgemein / python / Python Programming mehr...
ISBN:	9783032014412
EAN-Code:	9783032014412
Verlag:	Springer International Publishing
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D
Seiten:	306
Illustration:	XIII, 306 p. 43 illus., 41 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book aims to introduce agriculturists, particularly those with non-computing backgrounds, to the Python programming language. Python's simplicity, versatility, and extensive library support make it an ideal tool for addressing data science and machine learning challenges. This book focuses on the application of Python in various agricultural fields such as Agronomy, Entomology, Plant Pathology, Forestry, Horticulture, Food Technology, Farm Machinery, and Animal Sciences. It underscores the significance of programming skills in empowering agriculturists to analyze data, optimize resources, and automate routine tasks, thereby enhancing productivity and contributing to sustainable agricultural practices. By bridging the gap between traditional agricultural knowledge and modern computing techniques, this book serves as a valuable resource for agriculturists aiming to advance their careers and improve agricultural outcomes.