Operators Precedence in Python

In this article Operators Precedence in Python we give information about when you use multiple operators in Python, it is important to know which operator has higher precedence. Priority determines the order in which an expression will be evaluated.

Operators Precedence in Python:

When you use multiple operators in Python, it is important to know which operator has higher precedence. Priority determines the order in which an expression will be evaluated.

Below shows the precedence of various operators and their order of implementation in Python:

Examples of priority

Example 1: Exponentiation and Addition

result = 2 + 3 ** 2

print(result) #Output: 11

Here, 3 ** 2 will be evaluated first (9), then 2 + 9 will be (11).

Example 2: Use of parentheses

result = (2 + 3) * 4

print(result) #Output: 20

Here, (2 + 3) will first evaluate to (5), then 5 * 4 will evaluate to (20).

Example 3: Different operators together

result = 10 + 2 * 5 – 3 / 1

print(result) #Output: 16.0

Here, first there will be multiplication (2 * 5), then addition (10 + 10), and finally subtraction (20 – 3).

Conclusion:

It is important to understand operator precedence in Python, as it determines how an expression will be evaluated. With correct prioritization, you can perform more complex calculations and logical conclusions.

Always remember that you can control priority by using parentheses, so you can ensure that calculations are performed in the order you expect.

Expressions in Python:

Expressions in Python are any type of code that produces a value. It are made up of combinations of different data types, operators, and functions. These are used to perform calculations, comparisons, and various operations.

Types of expressions

1. Arithmetic Expressions:

These expressions calculate values ​​using mathematical operators.

Example:

a = 10

b = 5

result = a + b * 2 # result = 10 + (5 * 2) = 20

Relational Expressions:

 These expressions establish a relationship between two values ​​and return True or False.

Example:

a = 10

b = 5

is_greater = a >b #is_greater = True

Logical Expressions:

These expressions evaluate using logical operators (and, or, not).

Example:

a = True

b = False

result = a and b # result = False

Membership Expressions:

These expressions check whether a value is a member of a sequence (such as a list, tuple, or string).

Example:

fruits = [“apple”, “banana”, “cherry”]

is_member = “banana” in fruits #is_member = True

Identity Expressions:

These expressions check whether two variables refer to the same object.

Example:

a = [1, 2, 3]

b = a

is_same = a is b #is_same = True

Use of expressions

Expressions are used to retrieve a value, perform calculations, and make decisions. They can be used within functions, conditional statements, and loops.

Example 1: A simple expression

x = 5

y = 10

sum_result = x + y #sum_result = 15

print(sum_result) # Output: 15

Example 2: Complex Expression

a = 10

b = 5

c = 2

result = (a + b) * c / (b – c) # result = (10 + 5) * 2 / (5 – 2) = 30.0

print(result) # Output: 30.0

Conclusion

Expressions in Python are created by combining different types of data and operators and are useful for calculations, comparisons, and logical operations.

Constructing the right expression can increase the functionality and efficiency of your program. Therefore, understanding expressions and using them correctly is an important skill.

Statements in Python

Statements in Python are pieces of code that perform an action. It are the most basic elements of a program and determine the logic of the program. A statement is like a complete sentence, which indicates an action.

Types of Statements

1. Assignment Statements:

These statements are used to assign a value to a variable.

Example:

x = 10 # assign 10 to x

name = “Alice” # assign “Alice” to name

Print Statements:

These statements are used to display values ​​or messages on the screen.

Example:

print(“Hello, World!”) # “Hello, World!” print

Conditional Statements:

These statements are used for decision making. If a condition is true, a particular code block is executed.

Example

age = 20

if age >= 18:

print(“You are an adult.”) # If age 18 or older

otherwise:

print(“You are a minor.”) # If age is less than 18 Loop Statements:

These statements are used to execute a part of the code repeatedly.

Example (for loop)

for i in range(5):

    print(i) # Print the digits 0 to 4

Example (while loop)

count = 0

while count < 5:

    print(count)

    count += 1 # Print the numbers 0 to 4

Function Statements:

These statements are used to define a function that can later be called.

Example:

def greet(name):

print(“Hello, ” + name + “!”)

greet(“Alice”) # “Hello, Alice!” print

Class Statements:

These statements are used to define a class.

Example:

class Dog:

    def bark(self):

        print(“Woof!”)

my_dog = Dog()

my_dog.bark() # “Woof!” print

Conclusion

Statements are important to programming in Python, because they drive the code and determine the logic of the program. By making proper use of different types of statements, you can build your program effectively. Understanding statements and using them properly is an important skill in programming.

Some More: 

POP- Introduction to Programming Using ‘C’

DS – Data structure Using C

OOP – Object Oriented Programming 

Java Programming

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RDBMS – Relational Database Management System

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