Press Release: March 03, 2020
Python language is remarkably easy to learn and use. Many top companies like Google, Pinterest, Instagram, Dropbox, etc use python for its app development. Many developers use Python to build productivity tools, desktop apps, games, etc. Let’s look at some of the compelling reasons that make Python applications in many fields:
Code Readability and Maintenance:
To design any software application, we require qualitative source code to simplify updates and maintenance. Python syntax rules allow expressing concepts without writing any additional code. It intensifies code readability which makes use English keywords instead of punctuations. It becomes easy to build any custom applications with python code language. The readable and clean program code helps in maintaining and updating software with less effort in a short time.
Multiple Programming Paradigms:
Python supports many programming paradigms that include procedural, object-oriented, imperative, and functional programming. Python allows flexibility in programming style like a developer can write code in the procedural or objective oriented or functional style. Several paradigms can be used to code a single program or else you can stick to a single style of coding. Python lets developers use the familiar style that best suits the application.
Complex Software Development Environment:
As Python is a general-purpose programming language, it has numeric applications in software development like from simple web applications to complex scientific applications. Python has special features to promote data analysis and visualization. Use python data analysis features to create big data solutions that require less effort and time. Python data visualization libraries and APIs help to visualize the data in a more appealing and effective way. Applications of python are endless in the field of data science and artificial intelligence.
Multiple Open Source Frameworks and Tools:
A wide range of open-source Python frameworks, libraries and development tools helps in the reduction of application development cost and time. For a specific application, the developer can easily find his required framework or tool from the wide range of python frameworks and development tools. For example, to develop desktop GUI applications you can use Python GUI toolkits and frameworks like PyJs, PyQT, Kivy, PyGUI, WxPython, and PyGTK. It will be easier and faster web application development through robust Python web frameworks like Flask, Django, Bottle, Cherrypy, and Pyramid.