Python Variables

Python Variables 

Variables:

They are containers for holding data values. It will help you store the value in a memory location.

example:
cost = 10
print(cost)

Now cost variable will direct you to get the information stored over the memory location which is holding the data 10.

Variables help you to create formulas or help to reuse the data over different locations in a code.

example:
cost=10
tax_percent = 0.25
tax = cost * tax_percent
price = cost I+ tax

print(price)

String datatype variable sample:
username="Rock!rupesh"
first_name="Rahul"

print(username)
print(first_name)
print(username + " " + first_name)

first_number=10
second_number=2

print(first_number)
print(second_number)
first_number=1

So you can modify the variable stored information according to your need.

So as a summary variables are memory location which hold relevant information for your application.
Location: Pune, Maharashtra, India

Comments

Post a Comment

Popular posts from this blog

Post Request with Pydantic usage (input validator)

Image
Post Request by using Pydantic Pydantic Python library that is used for data modeling, data parsing and has efficient error handling. Pydantics is commonly used as a resource for data validation and how to handle data coming to our FastAPI application. Pydantic implementation mechanism Create a different request model for data validation Field data validation on each variable/element BaseModel is the Pydantics BaseModel class which will provide facility to validate data. Field is the keyword to do it. As it will help to provide constraints for data validation. sample class BookRequest(BaseModel):     id: int = Field(gt=0)     title: str = Field(min_length=3)     author: str = Field(min_length=1)     description: str = Field(min_length=1, max_length=100)     rating: int = Field(gt=0, lt=5) Book Request and Book Conversion We will convert the Pydantic Request into a Book Example for post request method @app.post("/create_book") async def c...
Read more

Code Scalability and Routing

Image
 Creating Authentication file As we need to keep authentication part separate from our main application working so that we will not mess-up with our main application logic and it's security settings and authentication criteria as well as logics. auth.py - Basic authentication code stub. # This file is to define authenticator and authorization for the Todo application. from fastapi import FastAPI , status app = FastAPI () @ app . get ( "/auth" , status_code = status . HTTP_200_OK ) async def get_user ():     return { 'user' : 'authenticated_user' } Create Routers Package Here we want to use both and auth.py and main.py file to run together and to allow routers to run smoothly and want to scale the project code. To make this possible we need to use router facility or FastAPI. Here we are going to have a main file is a route of our application and routes will sit on this main file and will help in performing the tasks on call from main file. To make i...
Read more

CRUD Assignment

Image
 CRUD Assignment 1. Create a new API Endpoint that can fetch all books from a specific author using either Path Parameters or Query Parameters. Code and Result: As async is implemented by FastAPI itself hence ignored it. from fastapi import FastAPI app = FastAPI () BOOKS = [         { "title" : "Book One" , "author" : "Author A" , "category" : "Fiction" },         { "title" : "Book Two" , "author" : "Author B" , "category" : "Non-Fiction" },         { "title" : "Book Three" , "author" : "Author A" , "category" : "Biography" },         { "title" : "Book Four" , "author" : "Author A" , "category" : "Historical" },         { "title" : "Book Five" , "author" : "Author A" , "category" : "Romanc...
Read more