Python for Agriculturists
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...
I tiakina i:
| Kaituhi matua: | |
|---|---|
| Kaituhi rangatōpū: | |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Putanga: | 1st ed. 2025. |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1007/978-3-032-01442-9 |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| Whakarāpopototanga: | 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. |
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| Whakaahuatanga ōkiko: | 1 online resource (XIII, 306 p. 43 illus.). 41 illus. in color. |
| ISBN: | 9783032014429 |
| DOI: | 10.1007/978-3-032-01442-9 |