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Python Regex: The 5 Exclusive Examples

 Regular expressions (regex) are powerful tools for pattern matching and text manipulation in Python. Here are five Python regex examples with explanations: 01 Matching a Simple Pattern import re text = "Hello, World!" pattern = r"Hello" result = re.search(pattern, text) if result:     print("Pattern found:", result.group()) Output: Output: Pattern found: Hello This example searches for the pattern "Hello" in the text and prints it when found. 02 Matching Multiple Patterns import re text = "The quick brown fox jumps over the lazy dog." patterns = [r"fox", r"dog"] for pattern in patterns:     if re.search(pattern, text):         print(f"Pattern '{pattern}' found.") Output: Pattern 'fox' found. Pattern 'dog' found. It searches for both "fox" and "dog" patterns in the text and prints when they are found. 03 Matching Any Digit   import re text = "The price of the

All About Init and Delete Constructors Python

Python init Vs. del Constructors

Python class has two constructors. One is the init, and the other one is del. Why do you need these two and their real purpose explained?

The initialization method is called __init__ while the finalization or destructor method is called __del__. Python methods with a double underscore character are for internal (not intended for direct access by the outside world) use.

There are no true private methods in Python classes, but convention says that a method that begins with a single underscore is considered private, and a double underscore indicates it is internal (only to be used by the system.)

Python Constructors 

Init Constructor

object.__init__(self[, ...])

Called after the instance has been created (by __new__()), but before it is returned to the caller. The arguments are those passed to the class constructor expression. 

If a base class has an __init__() method, the derived class’s __init__() method, if any, must explicitly call it to ensure proper initialization of the base class part of the instance; for example, super().__init__([args...]).

Because __new__() and __init__() work together in constructing objects (__new__() to create it, and __init__() to customize it), no non-None value may be returned by __init__(); doing so will cause a TypeError to be raised at runtime.

Del Constructor


Called when the instance is about to be destroyed. This is also called a finalizer or (improperly) a destructor. If a base class has a __del__() method, the derived class’s __del__() method, if any, must explicitly call it to ensure proper deletion of the base class part of the instance.

It is possible (though not recommended!) for the __del__() method to postpone the destruction of the instance by creating a new reference to it.

This is called object resurrection. It is implementation-dependent whether __del__() is called a second time when a resurrected object is about to be destroyed; the current CPython implementation only calls it once.

It is not guaranteed that __del__() methods are called for objects that still exist when the interpreter exits. Note: del x doesn’t directly call x.__del__() — the former decrements the reference count for x by one, and the latter is only called when the x’s reference count reaches zero.


  • A method that starts with a single underscore is PRIVATE
  • A method that starts with a double underscore is INTERNAL (not to use by the outside world).

Self Argument

In the python class methods, we supply an argument called SELF. After the self, you can pass on other arguments.


def my_method(self, , , , , , ,)

The purpose of SELF is to access varibles that assigned in Class level.


class Foo: 
wheels = 3 
max_speed_mph = 75.0 
def __init__(self): 
def printme(self): 

Here, the method printime has an argument of self. Also, here I've added a init method. The purpose of it as I said to use the system.

So, the self method and self as an argument in the method, useful to access class-level variables.

Class & Instance

Here, the main class name is 'Foo'. Since it's an object-oriented approach, you can create an 'n' number of instances.

foo = Foo()

Here, I have assigned the class 'Foo' to 'foo'. I can now access variables of the 'Foo' class.


==> 3


==> 75.0

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