Technical Strength of Python

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Contents:
  • Technical Strengths
Technical Strengths

Here, we are going to discuss Python top technical features. 
1. It’s Object-Oriented, Procedural and Functional
Python is an Object-Oriented programming language. It supports advance concepts such as polymorphism, operator overloading, multiple inheritance etc. Python also supports procedural programming paradigm and OOP is an option in Python. In addition to procedural and object-oriented paradigm, Python also has built-in support for functional programming. 
2. It’s Free and Open
Python is free to use and distribute. We can use Python in our commercial product without any restriction. 
3. It’s Portable
Python programs run today on everything from smartphones to supercomputers. Python programs are automatically compiled to portable bytecode, which runs the same on any platform with a compatible version of Python installed. Python is also available on Windows and macOS PCs, Linux and Unix workstations and servers, Android and iOS smartphones and tablets, real-time systems like VxWorks, Cray supercomputers, IBM mainframes, and more. 
4. It’s Powerful
Python comes with dynamic typing, automatic memory management, built-in object types, built-in tools, standard library support, and third party utilities. All these things makes Python, a powerful programming language.  
5. It’s Easy to Learn
When compared to other widely used programming languages, the Python language is remarkably easy to learn.
6. It’s Easy to Use
As compared to other programming languages like C++, Java, and C#, Python programming seems simple to most observers. To run Python code in most contexts, you simply type it and run it. Python executes programs immediately. Python also provides a deliberately simple syntax and powerful built-in tools. It eliminates much of the complexity as found in other languages, Python programs are simpler, smaller, and more flexible than equivalent programs in other popular languages.
7. It’s Mixable
Python programs can easily be “glued” to components written in other languages in a variety of ways—both locally and across networks. That means you can add functionality to the Python system as needed and use Python programs within other environments or systems.

🙂 Happy Learning !

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