If you learn Python for data science or another career, it can open a lot of doors for you and improve your career opportunities. However, while other programming languages like R and SQL are also highly efficient to use in the field of data science, Python has become the go-to language for data scientists. Since its early days as a utility language, Python has grown to become a major force in artificial intelligence (AI), machine learning (ML), and big data and analytics. Why Should You Learn Python for Data Science? Thus, it can be easily leveraged for a variety of purposes from scientific modeling to advanced gaming. As alluded to above, Python is also highly versatile and supports multiple systems and platforms. The clean code, along with extensive documentation, also makes it easy to create and customize web assets. So it’s not surprising that most programmers are familiar with it. It’s a relatively simple programming language to learn and utilize because the code is clean and easy to comprehend. The primary aim here was to automate repetitive tasks, to rapidly prototype applications, and to implement them in other languages. The foundation for Python was laid in the late 1980s, but the code was only published in 1991. I'll never, ever spam you! Powered by ConvertKit
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