Our little planet is now becoming a Digital planet and by 2020 we will have 40 times more bytes than there are stars in the universe. Over 90 percent of the data sitting and floating in all possible devices and systems in the world today was simply generated in the last two years alone. These humongous volumes of data – now called Big Data – can mean a lot to businesses and can help gain insights and trends about their users and user behavior. The massive volume of data in both structured and unstructured formats is difficult to process through traditional database modeling and tools. Hence there is a need to use scientific methods, algorithms, and tools to analyze and to make sense out of Big Data and the need for Data Science and Data Analytics.
The two most popular open source web servers(Source) powering the Internet today are Apache HTTP server and NGINX. Over 50% of the websites in the world run on these two web servers. For almost two decades, Apache Web server served around 60 percent of the world’s websites until its competitor NGINX (pronounced as “engine-x”) came into existence. Due to the explosive growth in data traffic volumes and the number of users of the world-wide-web, NGINX was introduced to overcome the performance limitations of Apache web servers. NGINX, designed for higher concurrency, can be deployed as a standalone web server, and as a frontend proxy for Apache and other web servers.
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As a programmer, you are always looking out for a language that is easy to learn, free, cross-platform, has a great developer community support, and good in-built features that could help you develop your applications quickly. You may wonder if such a language exists. The answer is ‘Yes’, and it is Python.