Python: 7 Important Reasons Why You Should Use Python


According to the latest TIOBE Community Programming Index, Python is one of the 10 programming languages ​​of Python 2017. This is a high-level universal programming language. You can use Python to develop user desktop applications, websites, and web applications. In addition, Python's high-level programming language allows you to focus on the basic features of the application and take care of common programming tasks. The simple syntax rules of the programming language further facilitate the maintenance of the readable code base and the maintenance of the application. There are a number of reasons why you should prefer Python over other programming languages.

7 reasons why you should consider writing software applications in Python

1) Code readable and maintainable

When writing a software application, you must focus on the quality of your source code to simplify maintenance and updates. With Python syntax rules, you can express concepts without writing additional code. At the same time, unlike other programming languages, Python focuses on the readability of code and allows the use of English keywords instead of scores. Therefore, you can use Python to create custom applications without writing additional code. The readable and clean code base helps you to maintain and update the software without wasting time or effort.

2) several programming paradigms

Like other modern programming languages, Python supports several programming paradigms. It fully supports object-oriented and structured programming. In addition, his linguistic resources support several functional and aspect-oriented programming concepts. At the same time, Python also has a dynamic system and automatic memory management. Programming paradigms and language resources help you develop large and complex software applications using Python.



3) Compatible with major platforms and systems

Currently, Python supports multiple operating systems. You can even use Python interpreters to run code on specific platforms and tools. In addition, Python is an interpreted programming language. You can run the same code on multiple platforms without recompiling. Therefore, you do not have to recompile the code after making changes. You can run the modified application code without recompiling and immediately check the effects of code changes. This feature facilitates code changes without increasing development time.

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4) Robust standard library

Its large and robust standard library punctuates Python in relation to other programming languages. The standard library allows you to choose from a wide variety of modules that meet your specific needs. With each module, you can also add functions to the Python application without writing additional code. For example, if you write a web application in Python, you can use certain modules to implement Web service chain operations, manage interface operations, or work with the Internet Protocol system. You can even collect information about multiple modules by searching the documentation of the standard Python library.

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5) Many open source frameworks and tools

As a free programming language, Python helps you dramatically reduce software development costs. You can even use multiple open-source Python frameworks, libraries, and development tools to reduce development time without increasing development costs. You can always choose from a wide range of open source Python frameworks and development tools based on your specific needs. For example, you can simplify and accelerate web application development by using stable Python Web structures such as Django, Flask, Pyramid, Bottle, and CherryPy. You can also accelerate the development of desktop GUI applications with Python GUI structures and toolboxes such as PyQT, PyJs, PyGUI, Kivy, PyGTK and WxPython.

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6) Simplify the development of complex software

Python is a universal programming language. Therefore, you can use the programming language to develop desktop and web applications. In addition, with Python you can develop complex scientific and digital applications. Python has resources for easy data analysis and visualization. You can leverage Python's data analytics capabilities to create custom, high-end solutions without wasting extra time and effort. At the same time, Python's data visualization libraries and APIs help visualize and display data in a more engaging and efficient way. Many Python developers use Python to perform Artificial Intelligence (AI) and natural language processing.

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7) Adopt evidence-based development

You can use Python to quickly build the prototype of the software application. In addition, you can build the application directly from the prototype by simply modifying the Python code. Python simplifies the simultaneous execution of coding and testing by using the Test-Driven Development (TDD) approach. You can simply write the necessary tests before you write the code and use the tests to continuously evaluate the code of the application. The tests can also be used to verify that the application meets the given requirements based on its source code.

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Like other programming languages, Python has its own weaknesses. Lack of internal  resources provided by another modern programming language. Therefore, it is necessary to use Python libraries, modules, and structures to accelerate the development of custom software. In addition, several studies have shown that Python is slower than some common programming languages, including Java and C ++. You must accelerate the Python application by modifying the application code or using the custom runtime environment. However, you can still use Python to speed up software development and simplify software maintenance.



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