Why is Python the Best Programming Language?Over the years, Python has become a better choice of simple programming language, especially when you look at it from syntax point of view. In addition to this, it has a very active community with a large section of resources and libraries. What this means is that the professionals have a programming platform that is ideal for use with budding technologies such as data science and machine learning. You shouldn’t be swamped with complex programming requirements when working with data science applications. All you need is a programming language such as Python to carry out your task without stress.
Ruby is also a great choice of programming language for performing various tasks like data mugging, data cleaning, and other data preprocessing responsibilities. However, it does not have lots of machine learning libraries features like Python. This attribute gives Python a big edge when it comes to machine learning and data science. Python also helps developers to design programs and get the prototypes running, which makes the development process faster. One major reason why the entry-level data scientists choose this language is because of the ease of use. According to report, about 48% of data scientists with fewer than five years work experience ranked Python as a preferred programming language. Interestingly, as the level of experience increases, the preferred choice changes, and this is because the analytics tasks require more extensive language at this stage. However, one thing that is certain is; Python has established itself as an excellent choice for entry-level data scientists.😮
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