Functions in programming
α°αα α€α°α°α₯π
αα¬ Functions α Python programming language αα α₯αα°αα α₯α ααα α₯αα°αα α αα α₯αα«ααπ
Functions are super cool because they let us reuse blocks of code to make our programs more efficient and organized. π§βπ» You can pass in parameters, return results, and create clean, modular code. Letβs master functions together! π
Check out more here: Functions in Programming
πα¨αα α«ααα αα΅ααα αͺα« α ααα«α΅ α΅α Functions α¨α αα αα¨α³α΅ α΅α½ααα½αα’
#Functions
@python_pioneers
@python_pioneers
α°αα α€α°α°α₯π
αα¬ Functions α Python programming language αα α₯αα°αα α₯α ααα α₯αα°αα α αα α₯αα«ααπ
Functions are super cool because they let us reuse blocks of code to make our programs more efficient and organized. π§βπ» You can pass in parameters, return results, and create clean, modular code. Letβs master functions together! π
Check out more here: Functions in Programming
πα¨αα α«ααα αα΅ααα αͺα« α ααα«α΅ α΅α Functions α¨α αα αα¨α³α΅ α΅α½ααα½αα’
#Functions
@python_pioneers
@python_pioneers
π₯4
Function ααα αα α
ααα?
1. Code Reusability:
Functions α αα΅α α¨ααααα code α α°α°ααα α₯αα΅αα ααα αα¨α³ααα’ α αα΄ Function define α«α¨αα α£ α₯α αα call α₯α«α¨ααα α αα¨ααα α¦α³ αα αα α₯αα½αααα’ α΅ααα α¨ααα code α α°α°ααα ααα α αα α α α₯ααα’
2. Modularity:
αα α¨ Function α₯α α α°αα α αα΅α complex problem αα₯α α¨α°αα«α© parts α¨ααα α₯α«αα³αα±α part α°αα function α αααα΅ α ααα ααα΅α α₯αα΅ααα αα¨α³ααα’
3. Readability:
αααα α¨ Function α₯α α α°αα α¨αααα code α ααα α₯αα²αα α₯ α«α¨αααα£ This helps other developers (and you, in the future) understand the code easily.
4. Avoiding Redundancy:
α αα΅ α¨ code block α₯α αα αα αα α¨ααααα£ α αα΅ αα function define α ααα α ααα α₯α call αα΅α¨α α₯αα½αααα£ αα α°αα α α°α°ααα α₯α¨ααα α΅α α°α΅ α₯αα³αα°α« αα¨α³ααα’
β’β’β’
#Functions
@python_pioneers
@python_pioneers
1. Code Reusability:
Functions α αα΅α α¨ααααα code α α°α°ααα α₯αα΅αα ααα αα¨α³ααα’ α αα΄ Function define α«α¨αα α£ α₯α αα call α₯α«α¨ααα α αα¨ααα α¦α³ αα αα α₯αα½αααα’ α΅ααα α¨ααα code α α°α°ααα ααα α αα α α α₯ααα’
def greet():
print("Hello, world!")
greet() # Reusing the same function
greet()
2. Modularity:
αα α¨ Function α₯α α α°αα α αα΅α complex problem αα₯α α¨α°αα«α© parts α¨ααα α₯α«αα³αα±α part α°αα function α αααα΅ α ααα ααα΅α α₯αα΅ααα αα¨α³ααα’
def calculate_area(radius):
return 3.14 * radius * radius
3. Readability:
αααα α¨ Function α₯α α α°αα α¨αααα code α ααα α₯αα²αα α₯ α«α¨αααα£ This helps other developers (and you, in the future) understand the code easily.
def calculate_average(marks):
return sum(marks) / len(marks)
4. Avoiding Redundancy:
α αα΅ α¨ code block α₯α αα αα αα α¨ααααα£ α αα΅ αα function define α ααα α ααα α₯α call αα΅α¨α α₯αα½αααα£ αα α°αα α α°α°ααα α₯α¨ααα α΅α α°α΅ α₯αα³αα°α« αα¨α³ααα’
def convert_to_fahrenheit(celsius):
return (celsius * 9/5) + 32
β’β’β’
#Functions
@python_pioneers
@python_pioneers
π2
π4
Lambda Functions in Python
Lambda functions α αα α΅ααΈα anonymous functions α Python Programming language αα΅α₯ at a runtime α αα α₯α unnamed functions α₯αα΅ααα₯α α«ααααα’ αα α¦α³ αα αα α«ααααααα function α α αα΅ α¦α³ α₯α» α₯αα΅ααα₯α αα¨α±ααα’
What is a Lambda Function?
Lambda function α¨αααααα α«α α argument ααα΅α³α ααα αα α αα΅ expression α₯α» αα α¨ααα ααα’ Expression α‘ evaluated α¨αα α αα value return αα°α¨ααα’
The syntax for a lambda function is:
α¨lambda functions ααα α£α αͺα«α΅
1. Anonymous: Lambda functions α΅α α¨ααΈααα£ that means they're anonymous.
2. Single Expression: α αα΅ expression α₯α» αα α¨αααα΅α£ αα α°αα α¨regular functions less powerful α«α°αααΈααα’
3. Can Take Multiple Arguments: α₯α argument α¨ααα α α α α α ααΈαα’
Lambda function α¨regular function α syntax α₯αα΄α΅ α₯αα°ααα α¨α΅α α£αα αα³α αα¨α³α΅ αα»ααα’
αα³α : Basic Lambda Function
to be contd...
#LambdaFunctions
#Functions
#Python
@python_pioneers
Lambda functions α αα α΅ααΈα anonymous functions α Python Programming language αα΅α₯ at a runtime α αα α₯α unnamed functions α₯αα΅ααα₯α α«ααααα’ αα α¦α³ αα αα α«ααααααα function α α αα΅ α¦α³ α₯α» α₯αα΅ααα₯α αα¨α±ααα’
What is a Lambda Function?
Lambda function α¨αααααα α«α α argument ααα΅α³α ααα αα α αα΅ expression α₯α» αα α¨ααα ααα’ Expression α‘ evaluated α¨αα α αα value return αα°α¨ααα’
The syntax for a lambda function is:
lambda arguments: expression
α¨lambda functions ααα α£α αͺα«α΅
1. Anonymous: Lambda functions α΅α α¨ααΈααα£ that means they're anonymous.
2. Single Expression: α αα΅ expression α₯α» αα α¨αααα΅α£ αα α°αα α¨regular functions less powerful α«α°αααΈααα’
3. Can Take Multiple Arguments: α₯α argument α¨ααα α α α α α ααΈαα’
Lambda function α¨regular function α syntax α₯αα΄α΅ α₯αα°ααα α¨α΅α α£αα αα³α αα¨α³α΅ αα»ααα’
αα³α : Basic Lambda Function
# Regular function
def add(x, y):
return x + y
# Lambda function
add_lambda = lambda x, y: x + y
print(add(2, 3)) # Output: 5
print(add_lambda(2, 3)) # Output: 5
to be contd...
#LambdaFunctions
#Functions
#Python
@python_pioneers