Learn Python Coding
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Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills.

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What is the difference between copy() and deepcopy() in Python?

copy() creates a shallow copy of the object: nested elements remain shared between both copies. In contrast, deepcopy() recursively copies all nested objects, making the new structure completely independent. This is particularly important when working with mutable data

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When applying multiple filters to a series in Pandas, it's better to break the condition into several lines:

s = pd.Series([10, 15, 20, 25, 30])

s.loc[
(s > 20) &
(s % 2 == 1)
]

Such code is easier to read, write, and maintain. πŸ› οΈβœ¨

As a result, the value:
25
will be selected,
since it is both greater than 20 and an odd number. 🎯

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# How to Implement a Decorator with Parameters Using a Class in Python

You can create a parameterized decorator in Python by using a class that implements the __call__ method. The class acts as the decorator factory, where the __init__ method stores the parameters, call__call__ method applies the decorator logic to the target function.

## Example Implementation

class my_decorator:
def __init__(self, param):
self.param = param

def __call__(self, func):
def wrapper(*args, **kwargs):
print(f"Decorator parameter: {self.param}")
return func(*args, **kwargs)
return wrapper

@my_decorator("Hello")
def say_hello(name):
print(f"Hello, {name}!")

say_hello("World")

## Explanation

1. Class Definition: Define a class that will serve as the decoratorinit.
2. **__init__**: Store the parameters passed to the decoracall.
3. **__call__**: Make the instance callable. This method receives the function being decorated and returns the wrappWrapperrapper**: The inner function executes the actual decorator logic before or after calling the original function.
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Cheat sheet on Python Data Types 🐍

Python Data Types β€” the main data types in Python.

πŸ”’ Numbers β€” numerical types (int, float, complex)
βš–οΈ Bool β€” logical values (True, False)
πŸ“ String β€” text strings
πŸ“‹ List β€” mutable ordered collections
πŸ”’ Tuple β€” immutable ordered collections
🎲 Set β€” unique unordered elements
πŸ—‚οΈ Dict β€” collections of "key-value" pairs.

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Python is like New Year. πŸŽ‰ You can pass a tuple to startswith and endswith. πŸ’»πŸ

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