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Why Python
Python is general programming language unlike other programming languages. According a survey Python is one of the most used programming languages. By using python programmer can develop desktop applications, websites and applications and GUI’s. Because of simple syntax python is more popular than other programming language.
There are multiple reasons why we should use python:
Programing Paradigm:
Like other programming paradigms python supports object oriented and structured programing languages. Python supports dynamic typed system, automatic memory management and functional supportive and aspect-oriented programming language. Because of this multiple paradigm support python is mostly used.
Platform Compatibility:
Python can be compatible to any operating system like windows, Mac, Linux/unix etc. Python uses interpreters by using interpreter python code can run in any operating system. Without any re-execution of the code the application can run in any operating system because Python is an interpreted programming language. This feature allows the developer to make changes easily and run the code any platform and it consumes less time for modifications if any changes required.
Open Source:
Python is available for free of cost and this was released under free source community. For large projects and web applications there is a need of frame works and other tools, the tools are available free of cost so there is cost cutting for organizations. This is one of the reason to use python. You even have option to choose from a wide range of open source Python frameworks and development tools according to your precise needs. For instance, you can simplify and speedup web application development by using robust Python web frameworks like Django, Flask, Pyramid, Bottle and CherryPy.
Readability and Maintainability of code:
Because of simple syntax developer will write and focus on the coding, the source code is simple to maintenance and easily updatable. The syntax rules of python allow the developer without writing additional code. Python, unlike different programming languages, emphasizes on code readability, and permits you to use English keywords rather than punctuations. Hence, you’ll use Python to make custom applications without writing further code. Python was designed for readability, and has some similarities to the English language with influence from mathematics.
Multiple Libraries:
To build large application developer requires lot of tools. Python is robust and largest standard library which allows developer to use multiple frameworks or libraries to build applications. Based on functionality of the application developer decided to involve the corresponding libraries and it does not require any additional code. For instance, while writing a web application in Python, you can use specific modules to implement web services, perform string operations, manage operating system interface or work with internet protocols.
Decrease complexity level in design of applications:
As we know by using python developers can built desktop applications and web applications even the application is complex. Python featured with Data analysis and visualization also you can use this for developing complex scientific and numeric applications. The data visualization libraries and APIs provided by Python help you to visualize and present data in a more appealing and effective way. Many Python developers even use Python to accomplish artificial intelligence (AI) and natural language processing tasks. It can be easily integrated with C, C++, COM, ActiveX, CORBA, and Java.
Easy to learn, read and maintain:
Python has simple syntax, structure, and clearly defined, it is more clearly defined and visible and easy to maintain without extra efforts.
Data base access:
Python can access any data base. Python can have feature of data analysis and visualization. By using this feature the people will be able to present data in an effective manner.
Python is used for:
Software development
Build scientific and mathematical applications
To Data analysis and visualization in the case of large data sets.
Web development
System scripting
