Python is one of the highest widespread and popular programming language. It is a standard and high-level programming language used for developing desktop GUI applications, website, and web application. Python is a high-level programming language, allows you to focus on the core functionality of the application by taking care of everyday programming tasks. The syntax rules used in it are quite simple, which makes it easier for you to keep the code base readable and application maintainable. Python is good for many reasons, let’s discuss in the blog.
Reasons why Python is used as a good programming language:
- Readable and Maintainable Code
While writing a software application, one needs to focus on the quality of its original code to simplify maintenance and updates. The syntax rules of Python are so simple, which allows you to express concepts without writing additional code.
Unlike other programming languages, Python emphasizes explicitly on the readability of the code and also allows the user to use English Keywords instead of punctuations. Hence, giving you the ability to build custom applications without writing additional code and the outcome is not just a messy code but a readable and clean code which will even help and efficiently update the software without wasting extra time and effort.
- Multiple programming paradigms
Like every other programming language, Python also supports several programming paradigms. Python also supports object-oriented and structured programming paradigm. The language features of Python support various approach in functional and aspect-oriented programming.
At the same time, Python happens to be a dynamic type system and also an automatic memory management tool. All these various approaches and language features help you to use Python for developing large and complex software applications efficiently.
- Compatibility with Major Platforms and Systems
Currently, Python supports almost every operating system, apart from a few. It can even be used to run the code on specific platforms and tools. Also, Python is an interpreted programming language.
It allows you to run the same code on multiple platforms without the recompilation of them. Hence one does not need to recompile the code after making any alteration. You can check the impact of the code immediately after you modify the application code without recompilation.
- Strong Standard library
Its extensive and powerful standard library makes python score over other programming languages. The standard library allows you to choose from a wide array of modules according to your specific needs. Each component further enables you to add functionality to the python application without writing additional code. For example, if you are writing a web application in Python, you can use specific components to implement web services, perform queries, and manage the operating system.
You can even find information about different components by browsing through the Python Standard Library Documentation.
- Many open source Frameworks and Tools
Python being an open source programming language helps you to decrease software development cost significantly. In addition to that, you can even use different open source python frameworks, libraries, and development tools to diminish development time without increasing development cost.
Also, having an option to choose from a wide range of open source python frameworks and development tools according to your requirements will help you cut time without affecting your surrounding projects. You can even simplify and speed up web application development by using standard python frameworks like Flask, Django, Bottle, and Cherrypy.
- Simplify complex Software Development
Python is a general purpose programming language as you can use the programming language for developing both desktop and applications. That doesn’t mean you cannot use Python for developing complex scientific and numeric applications; you can very well do it.
Python is designed explicitly with features to aid data analysis and visualization, giving you the advantage of data analysis features of Python to create modified Big Data solutions without putting extra time and effort. Moreover, Python also provides the user with data visualization libraries and APIs to help you present data more appealingly and effectively.
- Test-driven development
Python gives you the ability to create a prototype of the software application rapidly. You can even build the software application directly from the prototype by merely refactoring the python code.
It even makes it easier for you to perform coding and testing both simultaneously by adopting a test-driven development (TDD) method. After writing the code, you can use the tests to assess the application code continuously. The tests can also be used for maintaining the application requirements based on its source code.
Python, like other programming languages, also has its drawbacks. One of them is the lack of some built-in features provided by different modern programming language. Also, several studies have proved that Python lacks speed, which makes it slower than other programming languages like Java and C++. The only way through this is by speeding up the application by making changes to the application code or using custom runtime.