Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of its features support functional programming and aspect-oriented programming (including by metaprogramming and metaobjects (magic methods)). Many other paradigms are supported via extensions, including design by contract and logic programming.
Python uses dynamic typing and a combination of reference counting and a cycle-detecting garbage collector for memory management. It also features dynamic name resolution (late binding), which binds method and variable names during program execution.
Python uses duck typing and has typed objects but untyped variable names. Type constraints are not checked at compile-time; rather, operations on an object may fail, signifying that the given object is not of a suitable type. Despite being dynamically typed, Python is strongly typed, forbidding operations that are not well-defined (for example, adding a number to a string) rather than silently attempting to make sense of them.
This test divided into two tests.
1) Python Test: 01 (50 MCQs) (With Explanation)
2) Python Test: 02 (50 MCQs) (With Explanation)
This test will help for interviews and exams preparation.
Best of luck!
Course Instructor: Ramish Masood | Computer & Software Engineer