With the advent of artificial intelligence and machine learning technologies, Python makes it easy to write great code as a requested language due to its flexibility, ease of learning, and numerous and concise developers. Research has shown that Python code can halve development time. This is one of the main reasons why companies are turning to Python in significant numbers every day. In addition, Python supports many programming styles, including object-oriented, functional, and procedural. Such a wide range of libraries are available to aid machine learning and data analysis and visualization, all vital features in an information technology industry that is increasingly fascinated by data science.

Recently, more startups and new applications are looking for Python instead of PHP. A recent study by the European Technology Talent Perspective says that engineering positions are ranked as the most difficult jobs, and 43% of respondents say this is due to a lack of any technical expertise or skills. Python developers emphasize code readability and increase productivity when used for desktop applications, web applications, and data mining. For example, in October 2016, Microsoft launched Beta 2.0, an open source Cognitive Toolkit with Python support.

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