In technical aspects, Python is a high-level, object-oriented programming language that comes with integrated dynamic semantics primarily for app and web development. Though it’s often compared to JavaScript, Ruby etc, the major thing that sets apart Python programming language from others is its simplicity. First released in 1991, Python has become one of the most popular programming languages across the globe.
As data has emerged as an integral part of business operations to attain a competitive edge, programming languages like Python and R have become extremely popular among data science professionals. With the advancements in the data science field, both Python and R programmers are becoming most sought after professionals and can enjoy a high-paying, fulfilling career.
With the emergence of data science, business success today heavily depends on the ability of deriving valuable insights from huge chunks of data. And businesses use these insights to develop their business strategies to grow and outperform competitors. In its simplest form, data science can be considered as a field where data is captured and analyzed to reach a logical solution. Previously only giant IT organizations were involved in this but today almost every business across industries like healthcare, finance, e-commerce etc are employing data science to make most out of the data they capture from different sources.
Are you looking to jumpstart your career in data science? Are you trying to make it big as a programmer? If you’ve answered these questions in the affirmative, perhaps you’re planning to get a Python certification. You may have probably seen or heard of Python certification programs being offered by reputed training institutes a lot of times.
During the last few years, we’re experiencing a big revolution from mobile computing to immersive computing. We’ve also seen a new wave of devices employing virtual reality (VR) that defines a major spectrum of immersive technology that has the ability to replace mobile computing. In 2016, a range of virtual reality products came to the market by some tech giants. The large acquisitions and investments made by those tech giants reveal that virtual reality and augmented reality (AR) will become highly integrated with the platforms on which people consume content in the coming future.