What is the difference between copy() and deepcopy() in Python?
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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⨠Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
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When applying multiple filters to a series in Pandas, it's better to break the condition into several lines:
Such code is easier to read, write, and maintain. π οΈβ¨
As a result, the value:
25
will be selected,
since it is both greater than 20 and an odd number. π―
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s = pd.Series([10, 15, 20, 25, 30])
s.loc[
(s > 20) &
(s % 2 == 1)
]
Such code is easier to read, write, and maintain. π οΈβ¨
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25
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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
## Example Implementation
## Explanation
1. Class Definition: Define a class that will serve as the decoratorinit.
2. **
3. **
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.β€4
Cheat sheet on Python Data Types π
Python Data Types β the main data types in Python.
π’ Numbers β numerical types (int, float, complex)
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π String β text strings
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π Tuple β immutable ordered collections
π² Set β unique unordered elements
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π’ Numbers β numerical types (int, float, complex)
βοΈ Bool β logical values (True, False)
π String β text strings
π List β mutable ordered collections
π Tuple β immutable ordered collections
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Python is like New Year. π You can pass a tuple to
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