The interesting real-life applications of Python programming language.

Netflix, Instagram, Spotify, Pinterest, Uber, Dropbox! Did you know that all these applications are fundamentally built using Python? First released in 1991, Python has been liked and used by programmers all over the World. Python is considered to be one of the most versatile programming languages for building enterprise-level projects. Programmers use Python to make raspberry Pi applications, building desktop GUI, console applications, web development applications, game development apps, and much more. In this article, we will discuss more the interesting real-life applications of Python programming language.

SOFTWARE DEVELOPMENT

Did you know that Pinterest and Instagram are built with Python? Python is a programming language that offers enhanced process control capabilities that can be used for developing complex multi-protocol network applications. With built-in list and dictionary data structures, Python is used for building fast runtime data structures. With Google’s investment in Python, it has become a popular programming language in the past decade. Python framework can be used for almost anything, from web apps to data analysis. Python is known for its simple and straightforward syntax. It is widely used for developing GUI based desktop applications, games, scientific and computational applications, business and enterprise applications, and web applications.

AI & ML

Machine Learning and Artificial Intelligence are the talks of the town as they yield the most promising careers for the future. We make the computer learn based on past experiences through the data stored or better yet, create algorithms which makes the computer learn by itself. So why is python the language most of the programmers choose for this? It is mainly for the support for these domains with the libraries that exist already such as Pandas, Scikit-Learn, NumPy and so many more. We can implement it by simply learning the algorithm and using the library to solve the problem. It is that simple. But if you want to go the hardcore way, we can design a customised, own code which yields a better solution, which still is much easier when we compare it to other languages.

IMAGE PROCESSING AND GRAPHICS DESIGNING

Imagine, if you can create an application of auto-tagging a photograph as that of Facebook, or create your own face recognition password to your laptop. Many of these cool, trending things can be created through simple coding in python. Image processing has many more practical, day to day applications in industries also. For instance, in the glass industry, we require the number of silica particles in the glass at a microscopic level and there is the need for the estimation of traffic through CCTV footage. All these can be achieved by a few lines of code in python. Python is fine for learning computer graphics, maths, and matrix operations with NumPy work internally in C and are just as fast as C. There are bindings to OpenGL and OpenCV.

DESKTOP GUI

Creating the best user experience will help you attract many customers to your website. A good user experience can also make your customers feel happy and comfortable inside your own website. Therefore, you need to learn about how you can create a good experience for all of your website users, especially when you want to grow your business and increase your profit significantly. Even as web and mobile applications appear to overtake the software development market, there’s still a demand for traditional Graphical User Interface (GUI) desktop applications. For developers who are interested in building these kinds of applications in Python, there are a wide variety of libraries to choose from, including Tkinter, wxPython, PyQt, PySide2, and others.

GAME DEVELOPMENT

Pygame is a cross-platform set of Python modules designed for writing video games. It includes computer graphics and sound libraries designed to be used with the Python programming language. Pygame uses the Simple Direct Media Layer (SDL) library, with the intention of allowing real-time computer game development without the low-level mechanics of the C programming language and its derivatives. This is based on the assumption that the most expensive functions inside games can be abstracted from the game logic, making it possible to use a high-level programming language, such as Python, to structure the game. Applications using pygame can run on Android phones and tablets with the use of pygame Subset for Android. Sound, vibration, keyboard, and accelerometer are supported on Android.

OPERATING SYSTEM

An Operating System (OS) is an interface between a computer user and computer hardware, which performs all the basic tasks like file management, memory management, process management, handling input and output, and controlling peripheral devices such as disk drives and printers. The Python operating system module may not seem that exciting as even the official Python documentation refers to it as “miscellaneous operating system interfaces” But, it is still valuable, because it gives you access to a variety of system-based functions, including many that are useful for file and directory manipulation.

WEB DEVELOPMENT

Web development is loosely defined as building, creating, and maintaining websites. Typically, web development involves a frontend, everything that interacts with the client, and a backend, which contains business logic and interacts with a database. What makes Python suited for web development? The fact that python is easy to learn, has low barrier entry, rich ecosystem and libraries, fast prototyping and wide spread popularity makes python the first choice for web developers.

SCIENTIFIC AND NUMERIC APPLICATIONS

Python consists of many popular and easy to use libraries for performing complex scientific and numeric applications in a short span of time. A few of them include:

SciPy (Scientific Numeric Library) is a free and open source library used for scientific computing and technical computing. The library consists of modules for optimisation, image processing, FFT, special functions and signal processing.

Pandas (Data Analytics Library) is the most important data analysis library of Python. Being open source, it is used for analysing data with Python. It can take data formats of CSV or TSV files, or a SQL database and convert it into Python data frames with rows and columns which is similar to tables in statistical formats.

Numeric Python (Fundamental Numeric Package) better known as Numpy, has developed a module for Python, mostly written in C. Numpy guarantees swift execution as it is accumulated with mathematical and numerical functions.

Natural Language Toolkit (Library For Mathematical And Text Analysis) simply known as NLP, Natural Language Processing library is used to build applications and services that can understand and analyse human languages and data. One of the sub-libraries which are widely used in NLP is NLTK (Natural Language Toolkit).

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