AI has gained a lot of prominence and identity in ensuring proper data security. This theory enables machines to perform human-like tasks, which in turn forms a critical infrastructure in aiding data security. Artificial Intelligence based cybersecurity products have been proven to accelerate incident detection, incident response, identify risk factors, and create a situational awareness. Artificial Intelligence-based devices are sure to take over the next level of cybersecurity process very soon as they add more efficiency and value to the entire process.
Over the years, developers have used several coding languages to develop AI-based applications. For example, Java, LISP, Prolog, and C++ fall under the category of widely used languages for an AI-based application. However, in addition to these, developers have also used Python for a number of applications, which include General AI-based application, Machine Learning, NLP, and Neural Networks. What makes Python the preferred choice amongst developers compared to the other equally dependable languages? This article sheds some light on the specific reasons from a developer’s point of view.
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