Comparative Study of Compression Functions in Modern Web Programming Languages

With the increasing volume of data being generated and transferred every day, storage space has become a valuable resource. The huge size of these files, such as multimedia or software ones, have also a negative impact when it comes to the bandwidth usage they require while sharing them. On the other hand, it becomes even harder for this data to coexist in different operating systems and to offer the needed security since we face different types and formats of them. The file compression process comes as a solution to all of the above problems. It helps to optimize storage space, improve transfer speeds, enhance security, reduce bandwidth usage, and ensure compatibility across different platforms. Recently, the explosion of data generated by the Internet of Things (IoT), social media, and other sources has put even greater pressure on file compression technologies since they needed to apply to programming languages that run on web servers. As more and more data are generated, the need for efficient, effective compression algorithms becomes increasingly important. Studying the way these algorithms behave in a specific web programming language is also important. Based on historical usage and current trends in the web development industry regarding programming languages, Python, JavaScript, and PHP continue to be widely used and popular among developers. Some key factors contributing to their popularity include their ease of learning, extensive community support, versatility, web-focused features, integration capabilities, availability of frameworks, and improvements in performance and scalability. In this article, we will explore different optimization methods used for image and file compression and how they are integrated into modern web programming languages.