It is a reputable fact that Python is one of the most prominent programming languages in both backend programmers as well as Data Science professionals. Have you ever wondered why Python is so preferred? What is it that Python Programming Language has that made it so valuable and futuristic?
Well, the answer is simple. Python is one of the easiest language to learn (syntactically and semantically) and has the highest number of libraries for numerous applications making it preferred all around the globe.
Python is simple and also totally free to learn and sometimes certifications like on FreeCodeCamp.org. Its key features are that it is top-level, dynamically interpreted, and easy to learn. This makes debugging simple and encourages the rapid development of application models, noting itself worthy to code with. Python was created in 1989 by Guido Van Rossum focusing on simplicity and readability.
Whatever be your development and Data Science requirement, you name it– Python can take care of it. Python is an open-source, high-level, general-purpose programming language that integrates the features of object-oriented, structural, and also functional programming.
While Python’s straightforward syntax structure allows for composing understandable code, which can be further applied to intricate software development procedures to facilitate test-driven software application development, machine learning, as well as data analytics. Python can run on all the major operating systems, including Windows, Linux, as well as iOS.
Since it operates on cross-platform operating systems, Python can be utilized to develop a host of applications, including WebApps (with Flask or Django), Computer Games, Enterprise Level Application, Machine learning application, Photo/ Video, and text processing are named few.
So with this basic knowledge of Python, let us get into 11 Best Applications of Python Programming Language-
Web Development using Python
As we said before, Python is an all-rounder programming language that can be easily used to create web-applications at a pace. Why is that? It is because of the Python structures used to produce these applications. There is common-backend logic that enters into making these structures as well as a number of libraries that can aid incorporate protocols such as HTTPS, FTP, SSL, and so on. Python Programming Language also assists in the processing of JSON, XML, E-Mail therefore far more.
The most popular structures and frameworks for creating web applications using Python are Django, Flask, Pyramid, etc. These frameworks provide safety, scalability readily by leveraging that you can build a web application.
The gaming industry is one of the fastest-growing industries in the world with tons of platforms and dozens of Genres to choose from. Python can be used in the development of interactive games. There are libraries such as PySoy which is a 3D game engine supporting Python 3, PyGame library for 2D game development with high performance. The game titles such as Battlefield 2, Civilization IV, Freedom Force are a few of them that have impressed the Gaming communities world-wide.
Machine Learning and Artificial Intelligence using Python
Machine Learning and Artificial Intelligence are a few of the most confused yet over-hyped topics that people don’t exactly understand but are impressed by it anyways. In a nutshell, Machine Learning is when you provide Input, Output and let the machine figure out the pattern or design its own rules, unlike traditional software where input and pattern/ rules are given to get the desired output.
Also Read- 21 Best Python Libraries for Machine Learning
Data Science and Data Visualization
Data Science is one of the most important fields that will make you a lot of money if you know how to extract relevant information from heaps of data and make sense/ figure the pattern. You examine the information you have, do procedures, and draw out the info needed. Libraries such as Pandas, NumPy help you in drawing out details.
You can also envision the information collections such as Matplotlib, Seaborn, which are helpful in plotting graphs and much more. With the support of these libraries, it is much simpler and straight-forward for data science making Python its preferred language.
Related- 7 Most Important Skills in Data Science and AI Career Path
Graphical User Interface using Python-
The GUI is as important as the application and its usage. If the application is very useful but has a command-line interface, people other than tech Savvys may not even want to use it, Python can be very useful here. One of the simplest libraries Python has for GUI is Tkinter. Using Tkinter, you can start out with developing simple applications such as Calculators, Simple Currency converter with text boxes and labels, etc.
Web Scraping Apps
The Internet has an abundance of information but until you figure out the way to download that information and clean the data, it is not useful. Python is a hero when it concerns extracting a large amount of information from internet sites which can then be useful in various real-world procedures such as price comparisons, research, and development, etc.
Business Applications are different than our typical applications covering domain names such as eCommerce, ERP, and much more. They call for applications that are scalable, quickly legible, and also extensible, and also Python provides us with all these features. Platforms such as Tryton are available to establish such business applications.
Audio and Video Apps
Python has exceptional libraries for processing the Audio and Video files of multiple formats in the easiest way possible. There are many Music Player Apps and Video Player Applications like TimPlayer, Cplay that are created using Python Programming offering higher security, scalability, and performance.
Python can also be used to develop Embedded C software for embedded applications. This assists us to run the higher-level applications on smaller-sized devices which supports and runs Python Programs smoothly without any issues. The most widely known embedded application could be the Raspberry Pi which makes use of Python for its processing.
If there’s any kind of beginner-friendly programming language, it’s Python. Python’s easy learning curve and also simplicity are the two primary reasons why it is one of the most used programming languages in educational programs, both at the beginner level courses and post-graduation degrees. Due to all the features provided by the Python Programming language, it is not only great for beginners but also reliable for programmers around the globe for various applications.
Python may not have been directly involved in creating few programming languages, but the Python Programming layout has been the role model for brand new programming languages such as Swift, CoffeeScript, Cobra, etc. These programming languages share many features like syntax, design, and flow of execution of Python Programming languages.
After mentioning all these features, opportunities, and tapped areas of Python Programming language, it will be safe to consider Python Programming language as a future of Programming and its grip on Machine Learning and Artificial Intelligence makes it even more valuable for everyone. If you want to get started with Python Programming, there are many YouTube channels like TechwithTim, Code Basics, Sentdex, etc that cover the Python Programming basics efficiently.
If you already are comfortable with Python, here are the 21 Super Fun and Cool Python Projects for your Resume.