Python is one of the most popular programming languages. It provides various functionalities such as dynamic typing, useful data structures, and task-focused programming modules are only a few to be named. In this article, we will discuss various real-world applications of the python programming language.
Applications of Python Programming Language
Python was introduced in the early 1990s by Guido Van Rossum. It is an open-source language with cross-platform popularity. Python has an English-like syntax and it is easy to understand. Also, python provides us with different libraries and frameworks for various tasks such as machine learning, web development, application development, etc. In python, you can code in object-oriented as well as the functional paradigm. Also, python programs are portable and you can run a single code on different operating systems without any error. Due to these features, Python has become one of the most popular programming languages in recent years. Let us see some of the real-world applications of the python programming language
Web Development
Python provides frameworks like Django, Flask, Bottle, and Pyramid for web development. These frameworks provide standard library functions and programming modules that make web development easier. You can perform different operations like content management, interfacing with internet protocols, file handling, and database management tasks by writing a few lines of code.
The web frameworks in python provide great security, flexibility, and scalability. This helps you create web applications securely and rapidly.
Game Development
Python also provides different libraries such as PyGame and PySoy for game development. Python has been extensively used in developing games like Battlefield 2, Disney’s Toontown Online, Vega Strike, and World of Tanks. Apart from game development, you can also use python programming to develop smaller tools to simplify the development process. For example, python programming is used by many game engines as a scripting language. You can create tools with python to simplify the various development process and use them in your game engine. This will make the game development process a cakewalk.
Machine learning
The world is rapidly moving towards extensive applications of machine learning and artificial intelligence. From Chatbots to Tesla’s self-driving cars, machine learning is being employed everywhere. Python has played an important role in the popularity of machine learning among software developers. Python provides us with different frameworks like TensorFlow, Keras, etc that have been specifically for machine learning tasks. These frameworks provide different tools with which you can easily train a machine learning model and use it in your applications.
Desktop GUI
Python features modular architecture. This makes it easy to develop software in python. You can create desktop applications with a graphical user interface easily using python. It provides different frameworks like PyQt, Kivy, Tkinter, PyGUI, WxPython with which you can create highly functional graphical user interfaces.
Data Analysis
In today’s world, data exploration and analysis have been one of the most important tasks in business decision-making. Every decision needs to be made based on facts and data. Python provides us with different libraries like NumPy, Pandas, Matplotlob, etc with the help of which data analysts can easily process and analyze a large amount of data. Data visualization libraries along with other algorithms like forecasting, frequent pattern mining, and other machine learning algorithms make the data analysts able to generate insights that are impossible for a normal human being to obtain.
Web Scraping
Businesses often need data such as reviews and complaints to track their areas of concern so that they can improve their products and services. Often these reviews and complaints are posted on social media channels, google reviews, business listing websites, and consumer complaint helplines. To Extract these complaints and reviews, you can use libraries like BeautifulSoup, Requests, lxml, selenium, and Scrapy to perform web scraping in the easiest manner.
Image Processing
With libraries like OpenCV and Numpy, you can process high-quality images in python. Image processing is used extensively in healthcare to identify health conditions based on the images produced using various tools.
Operating Systems
Python is used in many operating systems, majorly in Linux distributions. Ubuntu’s Ubiquity installer, Fedora’s Anaconda installer, and many other tools are implemented using the python programming language. Python packages are so important for Ubuntu operating system that it cannot work without them. Once I accidentally deleted all the python files because I was having version mismatch issues in my system. Guess what, All the functionalities of my system were gone and I had to reinstall the operating system. Such important is python for the Ubuntu OS. Often, Python is combined with other programming languages like C and C++ to implement operating systems. This is because of the reason that most of the modules in Python have been written in C and C++. Thus, Python code can easily run with these languages and it also provides ease in implementation due to the availability of different tools.
Language Development
Python’s modular architecture has been used as a base feature to design various programming languages such as Swift, Cobra, and Boo. You will find various similarities between python and these languages. Their syntax, object-orientated design, indentation, modular implementation, and many other features are directly influenced by the python programming language.
Education and Training
Python is comparatively an easy language to learn. Being a beginner-friendly language, python is used to teach programming to people who are just beginning with coding. When you learn to code, you should focus on the semantics and logic implementation instead of the details of the syntax of the programming language. This is where Python comes in. It has English-like syntax and you don’t need to spend hours learning the syntax. Due to this, you will be able to learn to code efficiently without much difficulty.
Conclusion
In this article, we have discussed various real-world applications of the python programming language. As you can see, python is useful in almost every aspect of the digital ecosystem. From healthcare to stock markets, from teaching to building enterprise-level applications, you can use python everywhere. You can learn python from various websites like Coursera and Udemy. If you are more interested in reading, you can learn python from websites like pythonforbeginners.com.
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