Professional Python Questions and detailed Answers


Professional Python Questions and detailed Answers

Master Python tricks, tactics, methods and Get ready for exams, tests and interviews

Python is an interpreted high-level general-purpose programming language. Its design philosophy emphasizes code readability with its use of significant indentation. Its language constructs as well as its object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.

Python is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly, procedural), object-oriented and functional programming. It is often described as a “batteries included” language due to its comprehensive standard library.

Guido van Rossum began working on Python in the late 1980s, as a successor to the ABC programming language, and first released it in 1991 as Python 0.9.0.Python 2.0 was released in 2000 and introduced new features, such as list comprehensions and a cycle-detecting garbage collection system (in addition to reference counting). Python 3.0 was released in 2008 and was a major revision of the language that is not completely backward-compatible. Python 2 was discontinued with version 2.7.18 in 2020

You will learn and practice for:

Variable Names & Operators

Basic Operators Core

Data Types & Numeric Types

Core Data types Numeric Types

Precedence and Associativity in Python

Bitwise & Boolean

Formatting & Decorators in Python

While and For Loops



List Comprehension

Matrix List Comprehension


Python Sets

Python Dictionary

Built-in Functions


Argument Passing, Variables and Recursion

Global vs Local Variables


Shallow copy vs Deep copy

Mapping Functions

Functional Programming Tools

Mapping Functions

Modules Python


Datetime Module

Random module

Pickle Module

Turtle Module

Operating System

Sys Module

Regular Expressions


Classes and Objects

Operator Overloading





Exception Handling


Who this course is for:

  • Programmers and Coders
  • Students
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  • Computer science practitioners
  • Teachers and CEOs
  • Freelancers
  • HR and Recruiters
  • Python and OOPs
  • Web Developers
  • Data scientists and machine learning engineers
  • Tech entrepreneurs and CEOs
  • Computer science scholars

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