What is the added value of python software ?
What is the added value of python software for Marketing ?
I think its most value added aspect is its free availability (as UNIX, LATEX, etc.,) to every one, that may be student, researcher, developer, researcher etc.
Python is an open source language, making it freely usable and distributable, even for commercial use. This is in contrast to MATLAB for instance.
Python is a multipurpose programming language with a large community that supplies many things in different aspects of software engineering. Software development with python has privileges in Costs, Speed, Resilience, and team collaboration.
1-Low cost of development (short learning curve, a lot of free source code and licenses)
2- high speed in development (many libraries and frameworks)
3- Usage variety from the web frameworks (Django, Flask) to AI (Tensorflow, Keras) that is too helpful in development team performance and collaboration.
Simple syntax and the large community with big diversity of libraries (packages) makes python a really strong/reliable programming language. However, it will cost you in compile time - i.e. compared to C language.
First of all, Python is not software. It's a high-level programming language that is used in many domains such as cryptography, Machine Learning, and much more.
Thanks.
Rich and varied libraries, easy manipulation especially for the predefined mathematical functions...
Python is an easy-to-use language, close to the natural language ... and flexible in programming, and does not need any rules or spesific tempelet , nor to define data type variables
I think the huge community of Python developers is the most important factor to be considered. Thanks to this immense community, you will be able to find answers to most of the problems you will encounter when developing with Python.
Python is a cross-functional, maximally interpreted language that has lots of advantages to offer. The object-oriented programming language is commonly used to streamline large complex data sets. Over and above, having a dynamic semantics plus unmeasured capacities of RAD(rapid application development), Python is heavily utilized to script as well. There is one more way to apply Python – as a coupling language.
Another Python’s advantage is high readability that helps engineers to save time by typing fewer lines of code for accomplishing the tasks. Being fast, Python jibes well with data analysis. And that’s due to heavy support; availability of a whole slew of open-source libraries for different purposes, including but not limited to scientific computing. Therefore, it’s not surprising at all that it’s claimed to be the preferred programming language for data science. There is a scope of unique features provided that makes Python a-number-one option for data analysis. Seeing is believing. So, just let’s overlook each option one by one.
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