Python Quiz - Python programming quiz app offline

This python quiz app contains well chosen basic to intermediate Python questions.

This python programming quiz contains python questions with answers (Topics wise) and as well as QUIZ. Student can read questions with answers and check their knowledge through python programming quiz app.

This may be perfect for Python students(Python beginners) and those with beginner and intermediate Python programming knowledge.

Our python quiz app contains more than 1000 questions.

About the python quiz App:

This is a offline quiz app that will allow you at anytime to test your knowledge of the python programming language.

If you have just started to learn the basics of python programming or already consider yourself a strong programmer in the python programming language, try to pass this test (quiz). It has above 1000+ multiple choice questions(MCQ's) you can solve or learn here. Python programming quiz app is with negative marking can be also very helpful to prepare for competitive exams.

By going through the tests/quizzes and attempting the questions, the user can improve his/her python programming knowledge and can score well in high school level, college level and competitive level exams.

The application is very easy to use and has been designed very carefully keeping in mind the needs of the students. When a student/user makes a mistake the application indicates and also shows the correct answer. Take the python programming quiz repeatedly and analyze your improved results each time.

Features:

1.python quiz app offline mode.

2.Topic wise questions.

3.Take a quiz anytime through topic wise.

4.Check your score in percentage.

5.Study questions with answer keys.

6.Contains study the topics and take a python quiz.

The quiz will teach you all python topics

Basic Operators

Numeric Types

Precedence and Associativity

BITWAISE

Boolean

While and For Loops

Strings

Lists

List Comprehension

Matrix List Comprehension

Tuples

SET

Dictionary

Built-in Functions

funtion

Argument Parsing

Global vs Local Variables

Recursion

Shallow copy vs Deep copy

Functional Programming Tools

Mapping Functions – 1

Mapping Functions – 2

Mapping Functions – 3

math 1

math 2

math 3

Datetime Module

Random module sys

Operating System

Turtle Module – 1

Pickle Module

Regular Expressions

Files

Operator Overloading

Classes and Objects – 1

Classes and Objects – 2

Inheritance – 1

Inheritance – 2

Polymorphism

Encapsulation

EXEPTION HANDING

EXEPTION HANDING 2

Exception Handling – 3

Topic You should know :

Introduction to Python

1.Introduction to Python

2.Python - The Universal Language

Getting Started

1.Installing Python

2.Python - *Hello World*

3.Using the Interpreter

4.iPython - a better Python interpreter

Language Basics

1.Types - Dynamic v/s Static Typing - tstrong v/s Weak Typing

2.Numbers

3.Strings

4.Unicode

5.Complex Types

6.Operators - Operator Overloading

7.Variables

8.Scopping And Expressions

9.Use of tabs and whitespaces as indent

10.Conditionals - for...else

Functions

1.The general syntax

2.Default values for arguments

3.Returning and receiving multiple values

4.Variable number of arguments - args, kwargs

5.Scope revisited

Collections

1.Primitive v/s Composite Types

2.Lists

3.Tuples

4.Maps (or Dictionaries)

5.Sets

6.Enums

7.Looping Techniques

Modularisation of code

1.Global and Local namespace

2.Introduction of modules

3.Using modules

4.Creating your own modules

5.Working with third-party library

Regular Expressions

1.Matching v/s Searching

2.Regular Expression Objects

3.Match Objects

4.Examples

Files and Directories

1.Reading Files

2.Writing Files

3.Handling I/O Errors

4.Higher lavel file operations

5.File and Directory comparisons

Exception Handling

1.Exception handling basics

2.try...except

3.Examples

Socket Programming

1.Introduntion to networking concepts

2.Creating a socket

3.Using a socket

4.Disconnecting

5.Non-blocking sockets

SQL Database

1.Introduction to OOP

2.Classes and objects

3.Instance methods and data