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Python Technology

Posted by: Nidhi Hardia, April 22, 2015


Python is an object-oriented, interpreted, high-level programming language with dynamic semantics. It is very easy to learn scripting language which reduce the cost of programming maintenance. Python supports modules and packages, which improve programming modularity and code reuse. The Python standard library are available in source form without charge for all major platforms, and can be freely available.


Python and Java

Python’s functionality is slow as compare to the Java language but it take very less time in development. Python programs are much shorter than Java programs. This can make difference between the Python and Java programming and its beneficial for the faster development also.


Python and JavaScript

Python support programming which use simple functions and variable without using complicated classes definitions. Whereas, Javascript uses all classes and complicated variable. Python support the long coding programs, better coding reuse which play an important role in Python development programs.


Python and C++

Python shines as a glue language, used to combine components written in C++. Python is much simple and quick than C++, it provide better coding time and improve the efficiency of the programmer.


Python is the most growing open source programming language now a days, it also support most of the operating systems like Windows, UNIX, Linux, and Mac OS. Following are the key strategy of the our company in Python development:


Web Development : We are provided Python base solutions for our clients with extensive and easy use of standard library. In Python we provides interfaces to most databases, powerful text processing and document processing facilities, and work well with other web technologies.

Application Scripting : Python was designed from the ground up to be embeddable and serves as an excellent choice as a scripting language for customization or extension of larger applications.


Software Testing : We give benefits from Python’s strong integration and text processing capabilities, and Python comes with its own unit testing framework.


Numerical and Scientific Application : We  use of the Python Imaging Library, Numeric Python, Scientific Python and many other tools available for numeric and scientific applications.


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