Python is a highly extensible, multi-paradigm, general-purpose programming language. Guido van Rossum, a Dutch programmer, began working on a hobby programming project to keep himself occupied during the Christmas holidays in 1989. Being a big fan of Monty Python’s Flying Circus, he chose Python as the working title for a project that was meant to be a descendant of ABC, the then prominent programming language. Since its release, it has become widely popular, hailed for its simplistic syntax and semantics and visually pleasing, user-friendly formatting.
Being a general-purpose language, Python finds a plethora of applications. One of the most common applications of Python is in software testing. Because of its easy syntax and being open-source software, with an active community for support, it is the most preferred language for automated testing in the software industry. Although not used explicitly, Python is used in almost all software products as a means to achieve the final product, if not the final product itself. It is a dynamic language that is used to facilitate the tools necessary to build the final product. With its clean design, it is easy to work out the kinks and redesign the code as per requirements, thus becoming the most preferred language in coding circles.
Python’s ability to function across different operating software making it the prime candidate for use in Graphic User Interface (GUI) based desktop applications. Developers have access to various toolkits such as wxPython, PyQt, PyGtk which can be used to create highly functional GUIs. This finds a lot of applications in Image Processing, Graphic Design Applications, Computational Applications and Video Games. Additionally, it has also been used to create a multitude of web frameworks such as Django, TurboGears, CherryPy, Flask etc, which make it a must-know for web development. It also has several libraries for various internet protocols. Moreover, Python has also been used in operating systems themselves. For instance, it is an integral part of Linux distributions, featuring in Ubuntu’s Ubiquity installer and Fedora’s and Red Hat Enterprise Linux’s Anaconda installer as well as Gentoo Linux’s Portage, its package management system. Additionally, its simple syntax and module architecture has also influenced numerous languages such as Boo, Apple’s Swift, CoffeeScript, Cobra and OCaml.
However, these are only the presently existing technologies dependent on Python. Furthermore, there are some key future technologies and fields that are heavily dependent on Python. Artificial Intelligence, Big Data and Networking are three key areas that are reliant on the programming language for future development. Artificial Intelligence goes hand-in-hand with Machine Learning and is one of the most important fields currently. Python is often touted to be the best language to code with and this is especially true in the field of AI. It involves a lot of algorithms and with its clean syntax, Python can accomplish what other languages in just one-fifth of the code. Moreover, it has a lot of libraries that are pretty useful such as Numpy for computation, Pybrain for Machine Learning and Scipy for advanced math.
Big Data is another area which is steadily growing. Although R programming language is exclusive for data analytics, Python is preferred for Big Data for several reasons. One of the most important reasons for this is its compatibility with Hadoop, the most popular open-source big data platform. It also has several libraries such as Pandas that aid in ease of analysis. Despite R being better in data visualization, Python has also been growing rapidly in this department and is expected to become the numerous choices in the coming future. Python and its modules are also extensively used in Networking and Socket Programming, allowing two nodes on a network to communicate with each other. This also allows a better connection to the server and easier troubleshooting. Thus, it is pretty clear that Python is the go-to language for programming and will remain so for the foreseeable future.