PHP has become the de facto server-side language of choice for web developers. It is fast, flexible, and can be used for everything, from a simple blog to the most popular and dynamic websites in the world. The release of PHP 7 in 2015 and PHP 7.1 in 2016 made the language even better providing many features for better performance and interoperability. The increase in speed and maturity of libraries provided by the version has greatly improved the language and it can easily compete with other languages.
With PHP, a minimum viable product can quickly be built to get a project off the ground. However, in the recent trends, PHP is also used for highly scalable and business-critical applications. PHP is also a suitable language for IoT (Internet of Things) infrastructure solutions. PHP code can also simultaneously run several tasks in the same script which can be used in apps that operate smart gadgets. The Xively Internet of Things platform which offers an easy-to-use PHP SDK is a suitable example.
Python is one of the most commonly used languages, developed in the late 1980s. Python is easy to learn and offers rapid prototyping and dynamic semantics capabilities. It has an extensive library with built-in functionality making it possible to develop different kinds of applications. In December 2016, Python 3.6 was released solidifying its place as the scripting language of choice for many users providing various improvements in implementations, security, windows and standard library and added syntax features and library modules.
In the recent trends, Python is still widely used to develop different web based and non-web based applications. Python is a core technology in blue chip sites and services like YouTube, Instagram, PayPal and many more. It is also used for IoT infrastructure solutions. Python frameworks like Django, makes it easy to build applications and are more secured. Because of its’ vast library and built-in functionalities, Python is used in many applications where PHP cannot scale.
For the trend analysis, we will be using the PYPL and the TIOBE index. The PYPL (PopularitY of Programming Language) Index is created by analyzing how often language tutorials are searched on Google. TIOBE ratings are calculated by counting hits of the most popular search engines.
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