Learn Land Features Using Python Language
Python has emerged as an essential programming language for research due to continuous technological advancements that emphasize its role in streamlining scientific workflows. This article elucidates Python's burgeoning impact on researchers across disciplines. Tracing Python's origins and...
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| Published in: | BIO web of conferences Vol. 97; p. 111 |
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| Main Authors: | , , , |
| Format: | Journal Article Conference Proceeding |
| Language: | English |
| Published: |
Les Ulis
EDP Sciences
01.01.2024
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| ISSN: | 2117-4458, 2273-1709, 2117-4458 |
| Online Access: | Get full text |
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| Abstract | Python has emerged as an essential programming language for research due to continuous technological advancements that emphasize its role in streamlining scientific workflows. This article elucidates Python's burgeoning impact on researchers across disciplines. Tracing Python's origins and applications within the earth sciences contextualizes its versatility. While acquiring proficiency in Python exceeds this article's scope, discussions detail its utilities for earth science data analysis, visualization, management, and rapid computations. With Python expertise, researchers can engineer customized software with domain-specific tools to advance all earth science spheres. Ultimately, this article underscores Python's position as a vital programming language for contemporary academic research through its flexibility and specialization for scientific use cases. |
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| AbstractList | Python has emerged as an essential programming language for research due to continuous technological advancements that emphasize its role in streamlining scientific workflows. This article elucidates Python's burgeoning impact on researchers across disciplines. Tracing Python's origins and applications within the earth sciences contextualizes its versatility. While acquiring proficiency in Python exceeds this article's scope, discussions detail its utilities for earth science data analysis, visualization, management, and rapid computations. With Python expertise, researchers can engineer customized software with domain-specific tools to advance all earth science spheres. Ultimately, this article underscores Python's position as a vital programming language for contemporary academic research through its flexibility and specialization for scientific use cases. |
| Author | Hussein Aleiwi, Ali Wahhab Ibrahim, Doaa Ali Talib Al-Khazaali, Ahmed Akeel Hussein Alaasam, Hussein |
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| Cites_doi | 10.3390/rs8080655 10.1111/tgis.12962 10.1016/j.earscirev.2014.08.002 10.1016/j.ecolind.2021.107975 10.3389/fspas.2022.1022690 10.1016/j.isprsjprs.2020.04.001 10.1201/9781003175025 10.1016/j.cageo.2015.09.020 10.3390/rs13183581 10.3390/jimaging8120317 10.3389/fdata.2022.945720 10.3390/rs14225668 10.3390/w14121882 10.1021/acs.jcim.0c00308 |
| ContentType | Journal Article Conference Proceeding |
| Copyright | 2024. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. |
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| DOI | 10.1051/bioconf/20249700111 |
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| References | Shi (R16) 2022; 9 R4 Wang (R12) 2021; 129 Wieder (R13) 2022; 5 Tomas (R9) 2022; 26 R10 Tatum (R15) 2020; 60 R11 Lemenkova (R8) 2022; 8 Tamiminia (R14) 2020; 164 Guth (R3) 2021; 13 Farmakis (R5) 2022; 14 Bullejos (R7) 2022; 14 Jing (R17) 2016; 8 Gutierrez (R2) 2014; 138 Rigol-Sanchez (R6) 2015; 85 R1 |
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| Title | Learn Land Features Using Python Language |
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