Author:
Akeel Hussein Alaasam Hussein,Ali Talib Al-Khazaali Ahmed,Hussein Aleiwi Ali,Wahhab Ibrahim Doaa
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.
Reference17 articles.
1. Kruckeberg A.R. (2004). Geology and plant life: the effects of landforms and rock types on plants. University of Washington Press.
2. A review on natural and human-induced geohazards and impacts in karst
3. Digital Elevation Models: Terminology and Definitions
4. Lawhead J. (2019). Learning Geospatial Analysis with Python: Understand, G.I.S fundamentals and perform remote sensing data analysis using Python 3.7. Packt Publishing Ltd.
5. Superpixel and Supervoxel Segmentation Assessment of Landslides Using UAV-Derived Models