What Is Python Used For?
Python’s simple syntax and emphasis on readability makes it an easy and convenient programming language to use in a multitude of scenarios and instances.
Compared to most languages, Python is straightforward to learn and to use. Its functions can be carried out with simpler commands and less text than most competing languages. And this might explain why it’s soaring in popularity with coding students, Developers, and tech companies alike.
Python is one of those invisible forces with a presence in our mobile devices, web searches and gaming (and beyond). Python is used by Netflix, Facebook, Wikipedia, Google, Yahoo! and NASA, among many other top companies.
Quite often, it’s used as a “scripting language” for web applications, meaning it can automate specific series of tasks and improve efficiency. As a result, Python is often used in software applications, the shells of operating systems, webpages, and games.
The language is also used in scientific and mathematical computing, and even in AI projects. Python has been successfully embedded in numerous software products, including visual effects compositor Nuke, 3D modellers, and animation packages.
Let’s take a closer look at some of the most popular usages of Python.
Websites and Applications
Many of the world’s most popular websites have been created using Python, and it is often used to automate tasks when developing web applications, making the process more efficient.
Its breadth of libraries and web frameworks, meanwhile, lend itself to back-end development, especially with its ability to simplify the debugging process and repurpose large chunks of code.
Python is widely used in scientific and mathematical computing, and perhaps unsurprisingly, has become a popular language amongst Data Scientists, who use it for scientific research and computing large amounts of data. There is a long list of scientific libraries Developers can use within Python and is a great language for parsing data.
Data Scientists will also find Python helpful in machine learning. From speech recognition to automating financial services, Python can access specific machine learning libraries and frameworks that allow for working with AI.
Internet of Things
The Internet of Things (IoT) became a buzzword a few years ago and is now a system commonly used for tech devices. Essentially, the IoT is a system of computers and mechanical devices that are able to access a digital network and transfer data. Anything from security systems, thermostats, printers, and other household appliances can be part of the IoT.
Python’s ability to work with data-heavy systems makes it a great language for the IoT, as it can streamline the IoT development process and run code on browsers when working with data networks. Last, but not least, while Developers have to program on their computers and then transfer this to a machine (or thing in the IoT), Python allows you to directly access the device to test your code solutions.
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