CSEstack is the largest free coding resource site.

We offer easy to understand Coding tutorials and interview questions for mastering the basics and beyond.


Watch our video tutorials and don't forget to subscribe to our YouTube channel. If you have any content suggestions, then please send us a message using our contact form on:


www.csestack.org/


Thanks

Aniruddha Chaudhari
CSEstack


Coding with Ani

🌟✨ Happy Diwali to all the amazing coders and tech enthusiasts out there! ✨🌟

May the festival of lights bring new inspiration, brighter ideas, and loads of happiness into your life!

Just like every line of code brings us closer to our goals, may each diya you light lead you towards success and joy. πŸͺ”πŸ’»

Thank you for being part of this incredible community!

Let’s keep learning, building, and shining together.

Happy coding and a very prosperous Diwali! πŸŽ‰

1 year ago | [YT] | 1

Coding with Ani

Sure, I'd be happy to explain how decorators work with a simple example in Python.

Decorators are a powerful feature in Python that allows you to modify or enhance functions or methods without changing their definition. They use the `@decorator_name` syntax before a function definition. Here's a basic example to illustrate this:

```python
# Define a decorator function
def my_decorator(func):
def wrapper():
print("Something is happening before the function is called.")
func()
print("Something is happening after the function is called.")
return wrapper

# Apply the decorator using the "@" syntax
@my_decorator
def say_hello():
print("Hello!")

# Call the decorated function
say_hello()
```

In this example:

1. `my_decorator` is a decorator function that takes `func` (which is the function `say_hello` in our case) as an argument.
2. Inside `my_decorator`, `wrapper` is defined, which wraps around the original function (`say_hello`).
3. Within `wrapper`, we can perform actions before and after calling `func`.
4. Finally, `wrapper` is returned from `my_decorator`.

When we apply `@my_decorator` above `say_hello`, it is equivalent to calling `say_hello = my_decorator(say_hello)`. This means `say_hello` now refers to the `wrapper` function returned by `my_decorator`, which wraps around the original `say_hello` function.

So, when we call `say_hello()`, the following happens:
- "Something is happening before the function is called." is printed.
- `func()` inside `wrapper` calls the original `say_hello` function, which prints "Hello!".
- "Something is happening after the function is called." is printed.

Therefore, the output of running `say_hello()` will be:
```
Something is happening before the function is called.
Hello!
Something is happening after the function is called.
```

This is a simple demonstration of how decorators work in Python to modify the behavior of functions dynamically. They are commonly used for logging, timing, access control, and more complex scenarios involving function manipulation.


#pythonProgramming #DecoratorsInPython #PythonDecorators #CodingInPython #LearnPython #ProgrammingTips #SoftwareDevelopment #CodeWithMe #TechExplained #DeveloperCommunity

1 year ago | [YT] | 1

Coding with Ani

#pythoninterview - datatypes in #python 🐍

1 year ago | [YT] | 1

Coding with Ani

Hey everyone! 🌟

I've just kicked off a brand-new Python tutorial series on YouTube specially designed for beginners. In this series, I'll be explaining every topic in a super easy way.

Check out the first tutorial https://youtu.be/9aoo3kDIT6w to get started! πŸš€πŸ

Let's learn Python together! πŸŒˆπŸ’»



#python #programming

1 year ago | [YT] | 1

Coding with Ani

Happy Diwali to you and family πŸͺ”❀️

2 years ago | [YT] | 2