Python-Interview-Curriculum

Note: I've renamed this repo to Python Interview Curriculum from Python Interview Questions.

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.
Introduction
- What's New
- Print
Data Types
- 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
Condition Check
- if
- if elif
- if elif else
Loops
- for
- while
Functions
- 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
Classes & Objects
- 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
Encapsulation & Data Hiding
Polymorphism
- Abstract Classes and Methods
Pointers
- 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
Structures
Union
Inheritance
- Single
- Multilevel
- Multiple
- Hybrid
Exceptions
Standard Library
- os
- sys
- re
- copy
- collections
Concurrent & Multicore Programming
Multithreaded Programming
File Handling
Bitwise Operaters
Framework Bases:
- Django
- Flask
Books
- Machine Learning
- Deep Learning

ramlaxman / python-interview-curriculum Goto Github PK

python-interview-curriculum's Introduction

Python-Interview-Curriculum

Introduction

What's New

Print

Data Types

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

Condition Check

if

if elif

if elif else

Loops

for

while

Functions

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