Generally, Python Interviews are not as simple as other OOP interviews like C++, Java.

Reason is polymorphic nature of Python Solutions. It means there are many answers to single question.

Other problem I came across scope of Python Language. It varies from Person to Person.

I have created this repository to help college students and software professionals as well with their interviews.

• What's New

• Print

• Primitive Data Types

  • Int

  • Float

  • Complex

  • Boolean

• Built in Data Structures / Sequences

  • String

  • List

    • Change, Add, remove

    • organize

  • Tuple

  • Sets

  • Frozenset

  • Dictionary

  • Ordered Dictionary

    • A List of Dictionaries

    • A List in a Dictionary

    • A Dictionary in a Dictionary

  • File

• if

• if elif

• if elif else

• for

• while

• Defining a Function [Python Crash Course]

• Passing Information to a Function

• Arguments and Parameters

• Return

• Yield

• Pass

• Passing Arguments

• Positional Arguments

• Keyword Arguments

• Default Values

• Equivalent Function Calls

• Avoiding Argument Errors

• Return Values

• Returning a Simple Value

• Making an Argument Optional

• Returning a Dictionary

• Using a Function with a while Loop

• Passing a List

• Modifying a List in a Function

• Preventing a Function from Modifying a List

• Passing an Arbitrary Number of Arguments

• Mixing Positional and Arbitrary Arguments

• Using Arbitrary Keyword Arguments

• Storing Your Functions in Modules

• Importing an Entire Module

• Importing Specific Functions

• Using as to Give a Function an Alias

• Using as to Give a Module an Alias

• Importing All Functions in a Module

• Virtual Function

• Friend Function

• Static Function

• Dynamic Function

• Nested Function

• Inline Function

• Member Function

• Inner Function

• Overloading

• Overriding

• Call Stack & activation records

• Empty parameters lists

• Reference parameters

• Instantiation

• Reuse

• Messages and Method Calls

• Attributes and Instance Variables

• Encapsulation and Information Hiding

• Interfaces

• Static Methods, static Fields and Class Math

• Methods with Multiple Parameters

• Notes on Declaring and Using Methods

• Argument Promotion and Casting

• Constructor and Destructors

• Stream Class

• Generic Methods and Classes

• Static Local Arrays and Automatic Local Arrays

• Passing Arrays to Functions

• Sorting Arrays

• Variable length arrays

• Static vs Dynamic Memory Allocation

• Monekey patching

• Data types as Objects

• Iterators, Comprehension and Generators

• Split

• Join

• Map

• Reduce

• Zip

• unpack

• filter

• lambda

• Factory

• Overloading

• Overriding

• Call Stack & activation records

• Empty parameters lists

• reference parameter

• Storage class

• constructor and destructor

• Compostion: objects as members of class

• The Case of the Missing Declaration Statements

• Variables, Objects, and References

• Types Live with Objects, Not Variables

• Objects Are Garbage-Collected

• Shared References

• Shared References and In-Place Changes

• Shared References and Equality

• Dynamic Typing Is Everywhere

• Static class member

• Dynamic class member

• Get Help from Your Parent with super

• In self Defense

• Get and Set Attribute Values with Properties

• Name Mangling for Privacy

• Method Types

• Duck Typing

• Special Methods

• Composition

• When to Use Classes and Objects versus Modules

• Named Tuples

• Abstract Classes and Methods

• NULL Pointer

• Dangling Pointer

• Generic Pointer

• Wild Pointer

• Complex Pointer

• Near Pointer

• Far Pointer

• Huge Pointer

• String Pointer

• Calloc

• Malloc

• Call by reference

• Call by value

• Single

• Multilevel

• Multiple

• Hybrid

• os

• sys

• re

• copy

• collections

• Django

• Flask

• Machine Learning

• Deep Learning