Friday, February 1, 2019
Python Programming
Python Programming is an open source general purpose programming language that is very flexible and is more powerful and easy to use programming language. It has a very rich set of utilities and libraries for data processing and analytics tasks that is the one of the important features of python for data processing and doing analytical process.
In the current era of big data, python is getting more popularity due to its easy-to-use features which supports big data processing and analytic process.
Python is very a popular programming language in the world of big data processing and analytical process due to its simple usage and very widely set Big data processing libraries by default. Scalable applications we can also be created with the help of python programming. Python also has the ability to integrate itself with web applications very easily.
All the features that i have discussed provide support the big data processing and for generating quick insights for the given data. This data which changes very frequently is very useful for the organizations.
So the Data analytics generally need some powerful language and the platform and also the tools to get this quick insights very fast to remain in competition in the market and its demand. Python actually supports for the need of the business.
Given are some the of the important features of python that makes the programming language the perfect fit for rapid applications development process.
- Python has no need to be compiled as it is the interpreted language . Interpreter actually parses the program code for generating the output.
- In Python the variables types are defined automatically.
- There is a need to cast the type manually as the python is strongly typed.
- Less code makes it more acceptable.
- It is also portable,
- It is extendable and scalable.
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