Boolean and Operators

Boolean:

Booleans are used for comparison and logical decisions.
# boolean.py
# Boolean values in Python
# Boolean values in Python are represented by the keywords True and False
# Boolean values are used to represent the truth value of an expression
# Boolean values are used in conditional statements
# Boolean values are used in loops
# Boolean values are used in functions
# Boolean values are used in classes
# Boolean values are used in modules
# Boolean values are used in packages
# Boolean values are used in libraries
# Boolean values are used in frameworks
# Boolean values are used in applications
# Boolean values are used in systems
# Boolean values are used in networks
# Boolean values are used in databases
# Boolean values are used in files
# Boolean values are used in streams
# Boolean values are used in sockets
# Boolean values are used in threads
# Boolean values are used in processes
# Boolean values are used in events
# Boolean values are used in signals
# Boolean values are used in exceptions
# Boolean values are used in assertions
# Boolean values are used in decorators
# Boolean values are used in generators
# Boolean values are used in coroutines
# Boolean values are used in async functions
# Boolean values are used in async generators
# Boolean values are used in async coroutines

likeTea=True
likeCoffee=False

favoriteFood = "Dal Roti"
favouriteNumber = 7

# type of variable
print(type(likeTea))
print(type(likeCoffee))
print(type(favoriteFood))
print(type(favouriteNumber))

print(likeTea)
print(likeCoffee)
print(favoriteFood)
print(favouriteNumber)
print(likeTea and likeCoffee)

Operators:

# Operators
# Types of operators are:
# 1. Arithmetic Operators
# 2. Comparison Operators
# 3. Assignment Operators
# 4. Logical Operators
# 5. Identity Operators
# 6. Membership Operators
# 7. Bitwise Operators
# 8. Ternary Operators
# 9. Operator Precedence
# 10. Operator Overloading
# 11. Operator Functions
# 12. Operator Module
# 13. Operator Class
# 14. Operator Methods
# 15. Operator Attributes
# 16. Operator Properties
# 17. Operator Constants
# 18. Operator Exceptions
# 19. Operator Warnings
# 20. Operator Deprecation
# 21. Operator Future
# 22. Operator Compatibility

# comparison operators
# comparison operators are used to compare two values
print(1==2)
print(1!=2)
print(1>2)
print(1<2)
print(1>=2)
print(1<=2)

# logical operators
# logical operators are used to combine two or more conditions
print(1 > 3 and 5 < 7)
print(1 > 3 or 5 < 7)
print(not(1 > 3 and 5 < 7))


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