According to the latest TIOBE Programming Community Index, Python is one of the top 10 popular programming languages of 2017. Python is a generic and high-level programming language. You can use Python to develop GUI applications, websites, and web applications. Also, Python, as a high-level programming language, allows you to focus on the basic functions of the application by paying attention to common programming tasks. Simple grammar rules for the programming language make it easy for you to keep your code base readable and maintain applicable. There are also a number of reasons why you prefer Python over other programming languages.
1) Readable and preserved code
While writing a software application, you should focus on the quality of its source code to simplify maintenance and updates. Python syntax allows you to express concepts without writing additional code. Meanwhile, Python, unlike other programming languages, emphasizes the ability to read code, and allows you to use English keywords instead of punctuation. Thus, you can use Python to create custom applications without writing additional code. A clean, readable code base will help you keep the program up to date without spending more time and effort.
2) Multiple programming models
Like other modern programming languages, Python also supports many programming paradigms. It supports object-oriented and fully organized programming. Its linguistic features also support various concepts in functional and side-oriented programming. Meanwhile, Python also features a dynamic system and automatic memory management. Programming models and language features help you use Python to develop large and complex software applications.
3) Compatible with major systems and platforms
Currently, Python supports many operating systems. You can even use Python translators to run code on specific platforms and tools. Also, Python is a localized programming language. It allows you to run the same code on multiple platforms without regrouping. Consequently, you are not required to regroup the code after making any change. You can run the modified app icon without recompiling and check the impact of changes made to the icon instantly. This feature makes it easy to make code changes without increasing development time.
4) Strong record library
Its large and powerful standard library makes Python points higher than other programming languages. The standard library allows you to choose from a wide range of units according to your exact needs. Each module allows you to add functionality to the Python application without writing additional code. For example, while writing a web application in Python, you can use specific modules to perform web services, perform string operations, manage an operating system interface, or work with Internet protocols. You can also collect information about the different modules by browsing through the standard Python Library documents.
5) Many open source frameworks and tools
As an open source programming language, Python helps you reduce the cost of software development dramatically. You can also use many Python frameworks, libraries, and open source development tools to cut development time without increasing development costs. You also have the option to choose from a wide range of open source Python frameworks and development tools according to your exact needs. For example, you can simplify and speed up web application development with powerful Python frameworks like Django, Flask, Pyramid, Bottle and Cherrypy. Likewise, you can speed up the development of desktop GUI applications using Python GUI frameworks and toolkits like PyQT, PyJs, PyGUI, Kivy, PyGTK and WxPython.
6) Simplifying complex software development
Python is a general purpose programming language. Thus, you can use the programming language to develop desktop and web applications. You can also use Python to develop sophisticated science and digital applications. Python is designed with features to facilitate data analysis and visualization. You can take advantage of Python’s data analysis features to create customized big data solutions without taking much time and effort. At the same time, the data representation libraries and the APIs provided by Python help you visualize data and present it in a more attractive and efficient way. Many Python developers even use Python to accomplish artificial intelligence (AI) and natural language processing tasks.
7) Approval of paid development testing
You can use Python to quickly create a prototype to implement the program. Also, you can build the software application directly from the prototype by simply restructuring the Python code. Python even facilitates coding and testing simultaneously by certification
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