Short and Crispy

# Topic covered
* Django Signal
* Types of Signal
  * Model signals
  * Management signals
  * Request/response signals
  * Test signals
  * Database Wrappers
* Working
  * Without signal.py
  * With signal.py
* Custom signals

# Topic covered
* Django Views
* Function-Based Views
* Class Based Views(CBVs)
* Django request

# Topic covered
* Django Migrations
* Apply migration
* Revert Migrations

Django settings

• A Django settings file contains all the configuration of your Django installation.
• A settings file is just a Python module with module-level variables.

# setting example
ALLOWED_HOSTS = ['www.example.com']
DEBUG = False
DEFAULT_FROM_EMAIL = '[email protected]'

# Topic covered
* Django Models
* Field types
  * Relationship Fields
  * Django Choices
* Field Options
* Model definition
* ForeignKey.on_delete
* Meta Class in Django Models

# Topic covered
* Django admin
* Features of Django Admin
* Activating and Using the Admin Interface
* Register models in admin-panel
* Basic: Model display
* Advance: Model display
* InlineModelAdmin objects

# Topic covered
* Django Architecture
* Model View Controller(MVC)
* Model View Template (MVT)
* Why is Django called loosely coupled framework?
* django-admin and manage.py
* Write custom django-admin commands?

# Topic covered
* What is Django?
* Feature in Django framework
* Advantage / Disadvantage of Django
* Design philosophies
* File Structure Info
* Script vs Modules vs Package vs Library vs Framework
* Projects vs Apps in Django
* Django vs Flask

# Topic covered
* 𝗪𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝘄𝗵𝗲𝗻 𝘆𝗼𝘂 𝘁𝘆𝗽𝗲 𝗮 𝗨𝗥𝗟 𝗶𝗻𝘁𝗼 𝘆𝗼𝘂𝗿 𝗯𝗿𝗼𝘄𝘀𝗲𝗿?
  * Resolve Domain Name
  * Resolve IP address
  * HTTP request to the server
  * HTTP response from the server
* Journey of a Web Request in Django

Percentiles and Quartiles

A percentile is a value below which a certain percentage of observation or data points lies.

Percentiles show how a given value compares to others. The general rule is that if a value is in the kth percentile, it is greater than K per cent of the total values.

Find percentile of n

P = (n/N) * 100

n = Ordinal rank of values
  = No of values below n
N = Total values in the dataset

P% of the entire distribution falls below the value n