Certified Python Questions and detailed Answers

Certified Python Questions and detailed Answers

Certified Python Questions and detailed Answers

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

Language: english

Note: 4.2/5 (6 notes) 7,724 students

Instructor(s): SMARTER ACADEMY

Last update: 2021-12-03

What you’ll learn

  • Most common and comprehensive Python tests and interviews
  • Professional Python questions with detailed answers
  • Python Questions and Answers for Object Oriented Programming[OOP] and Classes and Objects
  • Python Questions and Answers – Operator Overloading
  • Python Questions and Answers – Encapsulation / Polymorphism / Inheritance / Exception Handling
  • Python Questions and Answers – Math / Datetime Module/ Random module / Pickle Module / Turtle Module
  • Python Questions and Answers – Operating System / Sys Module
  • Python Multiple Choice Questions on Files / Regular Expressions /
  • Python Question and Answers – Built-in Functions – Function / Argument Passing, Variables and Recursion
  • Python Questions and Answers – Global vs Local Variables – Recursion– Shallow copy vs Deep copy
  • Mapping Functions / – Functional Programming Tools / Python Dictionary / List Comprehension / Tuples / Sets / Data structure / Matrix List Comprehension /
  • Python MCQ on While and For Loops
  • Python MCQ on Strings
  • Variable Names & Operators / Data Types & Numeric Types Core Data types / Bitwise & Boolean/ Precedence and Associativity / Formatting & Decorators

 

Requirements

  • Python and Programming knowledge

 

Certified Python Questions and detailed AnswersCertified Python Questions and detailed Answers

Description

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

Strings

Lists

List Comprehension

Matrix List Comprehension

Tuples

Python Sets

Python Dictionary

Built-in Functions

Function

Argument Passing, Variables and Recursion

Global vs Local Variables

Recursion

Shallow copy vs Deep copy

Mapping Functions

Functional Programming Tools

Mapping Functions

Modules Python

Math

Datetime Module

Random module

Pickle Module

Turtle Module

Operating System

Sys Module

Regular Expressions

Files

Classes and Objects

Operator Overloading

OOPs

Encapsulation

Polymorphism

Inheritance

Exception Handling





SMARTER ACADEMY

 

Certified Python Questions and detailed AnswersCertified Python Questions and detailed Answers

Who this course is for

  • Programmers and Coders
  • Students
  • Debuggers
  • 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

 

Course content

  • Python Practical Test 1 [Variable Names & Operators; Data & Numeric Types]
  • Python Practical Test 2 [While and For Loops; Strings]
  • Python Practical Test 3 [Lists, Tuples, Sets and Dictionary]
  • Python Practical Test 4 [Functions, Variables and Recursion; Deep copy ]
  • Python Practical Test 5 [Regular Expressions, Math, Random, Datetime Module ]
  • Python Practical Test 6 [Object Oriented Programming OOP and Exception Handling]

 


Time remaining or 279 enrolls left

 

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