Python is a language that is more or less comprehensive and has syntax that is somewhat compact. In the event that you were writing down an algorithm on a whiteboard using pseudo code, it is quite likely that you could convert your text into compiling Python with very little effort invested. Its syntax for manipulating strings is clear and natural, which is something that I have seen very often. Additionally, it includes an interpreter that allows for quick iteration, and it works with lists and dictionaries without any additional cost. From the very first hour of working on a Python project, you are going to be a great deal more productive than you would be working in languages that are more powerful. In contrast, the two most popular full-featured programming languages, Java and C++, require you to learn a significant amount of extra syntax and to produce a significant amount of more text in order to do the same thing. That is acceptable for a software developer who works full-time. Both Java and C++ provide you with a great deal of speed and power in exchange for the many extra things that you are required to learn. They require you to really think through precisely what it is that you want to accomplish, which is not a good thing in the first hour but is amazing in the days, weeks, and years that follow. One example is that both of them feature strong typing, which not only requires a considerable deal of more typing and thinking but also significantly reduces the number of ways in which your program might chew your head off. For a data scientist who is primarily responsible for developing terminal code (that is, code that is not going to be referenced by other programs), the effort spent knowing all of their complexities is not going to be valuable. Please check out our data career platform, which is called datascientistjobs. This platform is designed for individuals who are interested in working in the field of big data or who are already employed in the field and are looking for careers that are specifically related to the fields of data science, machine learning, deep learning, data analytics, big data, and statistics. Please send an email to info@datasciencecareer.co.uk if you would like to be included to our email list in order to get information about employment possibilities and other relevant updates.
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