Python is an imperative, functional, procedural, and object-oriented programming language. Using python, we can do web development, scientific computing, data science, machine learning. Programmers are given the flexibility to choose the way they write the code in python.
They can choose the python code to be imperative if they want the code execution to be sequential that is the code execution happens in a line by line way. This sequential execution is good if the requirement of the program is supposed to know the state of the program from time to time. Also, parallel processing is not possible with the imperative style of coding.
Programs can go for this functional way of writing the code by using lambda functions which adds more abstraction to the code by using minimal code, however retrieving the state of the program at a particular point of time becomes difficult because of the added abstraction.
This is more like imperative, which we discussed earlier, which means the code execution is sequential in nature. For achieving the parallel processing in the sequential execution, the code is organized in the form of blocks which we call subroutines, where the control passes from the caller to the callee, here the callee is the subroutine(block of code). Using this Procedural paradigm, parallel processing, as well as reusability, are achieved even with the imperative style of coding.
Programs can wrap the data and the methods which manipulate the data into a single data unit by means of encapsulation. This single data unit is the definition of a real entity like bank customers, eCommerce customers, etc. With this, the programmers will be able to achieve code reusability, data abstraction, and polymorphism.
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