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Python Functions
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A place where new ideas are experimented with and developed
Python Functions
At SaturnX Academy, mastering Python functions is a key part of our data science and AI curriculum. Python functions are essential for writing clean, reusable code, and at SaturnX Academy, we dive deep into this topic. Whether you're learning the basics or exploring advanced concepts like decorators and recursion, our expert instructors provide comprehensive guidance. As the best data science and AI institute, SaturnX Academy ensures that students gain hands-on experience, making complex topics accessible and engaging. Our courses are designed to equip you with the skills needed to excel in today's techdriven world. Choose SaturnX Academy for a transformative learning experience in Python and beyond.
By Tumpa
Last updated on Aug 20, 2024
SaturnX Academy is the leading training institute in Kolkata, Hooghly, Uttarpara, West Bengal, and India, specializing in data science, artificial intelligence, machine learning, data analysis, and big data analysis. With a focus on cutting-edge technology and practical skills, SaturnX Academy offers comprehensive courses that prepare students for success in the fast-evolving tech industry. Their expert instructors and hands-on approach ensure that learners are equipped with the knowledge and experience needed to excel. For top-notch training in these critical fields, SaturnX Academy is the premier choice.
PYTHON FUNCTION
A function is a block of code which only runs when it’s called .you can pass data ,known as a
parameters, into a function .A function can return data as a result.A Python function is a reusable block of code designed to perform a specific task. Functions help organize code, making it more readable and maintainable. They allow developers to write modular code, which can be tested and debugged easily. Functions are essential in Python for tasks like data processing, automation, and building complex algorithms.
python function is defined using def .
Then you define function name then parenthesis ()
Calling the function
def means define a function ,def keyword is used to create a function
Why use Python functions?
Code Reusability: Write once, use multiple times, saving time and effort.
Modularity: Break down complex problems into smaller, manageable pieces.
Readability: Clear, concise code that's easier to understand and maintain.
Testing and Debugging: Isolate issues quickly by testing individual functions.
When to use Python functions?
Repeated Code: When the same code block is needed in multiple places.
Complex Operations: To break down complex algorithms into simpler steps.
Data Handling: For tasks like data transformation and analysis.
APIs and Interfaces: When building APIs or user interfaces.
Python Function Arguments:
A Python function argument is a value passed to a function when it is called, allowing the function to perform operations using that value. Understanding function arguments is crucial for writing flexible and reusable code. Here's why and when to use them, from basic to advanced levels.
Why Use Python Function Arguments?
Flexibility: Allows functions to operate on different inputs.
Modularity: Makes functions more general and reusable.
Clarity: Improves code readability by making functions self-explanatory.
When to Use Python Function Arguments?
Basic Operations: When you need to pass simple data like numbers or strings to a function.
Data Processing: For handling lists, dictionaries, and other data structures.
Configuration: To customize the behavior of a function through different parameters.
Example 1:
def a(): ➡️ ‘a’ is function name
print(“ I am tumpa”) ➡️This is function body (functionality)
a() ➡️Calling the function
output
I am tumpa ➡️ output of the function Example 1
Information can be passed into function as arguments.
Arguments are specified after the function’s name inside the parenthesis()
Example 2:
def a(name): ➡️ Function Arguments in the parenthesis (this is positional argument)
print(“my name is”, name) ➡️ String concatenate with argument
a(“puja”) ➡️ Information Passed Into Function
output
my name is puja ➡️ output of the function Example 2
You must pass two values for two argument, two argument here but you pass one value so you get error.
If the number of arguments is unknown , add a * before the parameter name.
Example 3 :
def m(*n): ➡️ The function m accepts a variable number of arguments using *n
print(“small city”,n[2]) ➡️ n[2] accesses the third element in the tuple (indexing starts at 0).
m(“Bally”,”Kolkata”,”Uttarpara”,”Belur”) ➡️ Information Passed Into Function
output
small city Uttarpara ➡️ output of the function Example 3
keyword arguments or name argument are values that ,when passes into a function ,are identifiable by specific parameter names.
Example 4 :
def m(x,y,z): ➡️ The function m accepts three arguments: x, y, and z.
print(“my name is “,y) ➡️ The print statement outputs "my name is" followed by the value of y.
m(x=”ram”,y=”shyam”,z=”sayan”) ➡️ Information Passed Into Function
output
my name is shyam ➡️ output of the function Example 4
If you don’t know how many keyword arguments that will be passed into your function add **(asterisk)before the parameter name
def a(**m):
Mostly Important to say that functionality(function body) of the function store by argument/arguments.
Default Argument : If you not pass any value in your argument then automatically call You can send any data types of argument to a function (string, number,list,dictionery etc).
Example 5 :
def greet(name, greeting="Hello"): ➡️The greeting parameter has a default value of "Hello"
return f"{greeting}, {name}!" ➡️ It returns the string in the format: "{greeting}, {name}!"
print(greet("Alice")) ➡️ Using the default argument
The greet function is called with the argument "Alice" for the name parameter.
Since no value is provided for the greeting parameter, it uses the default value "Hello".
The function returns the string "Hello, Alice!".
output
Hello, Alice! ➡️ output of the function Example 5