Summary + Thesis Draft #1

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             Python is a distinguished, class-driven programming language with flexible behavior that executes code line-by-line (Python Software Foundation, n.d.). Its straightforward and easy-to-learn syntax prioritizes readability, making it a great choice of programming for new learners (Simplilearn, n.d.). According to Thakur (2022), Python provides a variety of libraries (e.g. Standard library) that facilitate integration with other computer languages like C, JSON, Java, and more. This cross-platform compatibility makes it highly adaptable. In addition, Python is accessible for everyone to use, encouraging innovation and community collaboration. With its strong community support, ample resources for learning and troubleshooting are available (Simplilearn, n.d.). Its flexibility and versatility enable it to be applied to a wide range of applications making it well sought out by beginners and professionals alike. These features allow Python to be used for various functions, including data analysis (Hande, 2024), automation (Coursera, 2024), scientific computing (Python for Scientific Computing, 2017), and more. In the context of geotechnical engineering, Python's capabilities have tremendous potential in automating soil analysis and site investigations. This application will not only enhance productivity but also support more precise geotechnical practices, positioning Python as an invaluable tool in the field.


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