How to resolve the algorithm Compound data type step by step in the Python programming language

Published on 12 May 2024 09:40 PM

How to resolve the algorithm Compound data type step by step in the Python programming language

Table of Contents

Problem Statement

Create a compound data type:

A compound data type is one that holds multiple independent values.

Let's start with the solution:

Step by Step solution about How to resolve the algorithm Compound data type step by step in the Python programming language

This code defines different ways to create objects and access their attributes.

It first defines X and Y as constants 0 and 1 respectively. Then it defines a tuple p and assigns it the values 3 and 4. Next, it defines a new list p and assigns it the values 3 and 4. Then, it prints the first element of the list p, which is 3.

Next, it defines a class Point with two attributes, x and y. It defines a constructor that takes two parameters, x and y, and assigns them to the attributes of the object. It creates a new instance of the class Point and prints the value of the attribute x, which is 0.

Next, it defines a class MyObject that inherits from the class object. It creates a new instance of the class MyObject and assigns the values 0 and 1 to the attributes x and y. It then tries to assign the values 0 and 1 to the attributes x and y of the class object, but it fails because the class object does not have these attributes.

Finally, it defines a dictionary pseudo_object with two keys, x and y, and assigns them the values 1 and 2 respectively.

Finally, it uses the namedtuple function from the collections module to create a new class Point with two attributes, x and y. It creates a new instance of the class Point and assigns the values 11 and 22 to the attributes x and y. It then prints the value of the attribute x, which is 11.

Source code in the python programming language

X, Y = 0, 1
p = (3, 4)
p = [3, 4]

print p[X]


class Point:
    def __init__(self, x=0, y=0):
        self.x = x
        self.y = y

p = Point()
print p.x


class MyObject(object): pass
point = MyObject()
point.x, point.y = 0, 1
# objects directly instantiated from "object()"  cannot be "monkey patched"
# however this can generally be done to it's subclasses


pseudo_object = {'x': 1, 'y': 2}


>>> from collections import namedtuple
>>> help(namedtuple)
Help on function namedtuple in module collections:

namedtuple(typename, field_names, verbose=False)
    Returns a new subclass of tuple with named fields.
    
    >>> Point = namedtuple('Point', 'x y')
    >>> Point.__doc__                   # docstring for the new class
    'Point(x, y)'
    >>> p = Point(11, y=22)             # instantiate with positional args or keywords
    >>> p[0] + p[1]                     # indexable like a plain tuple
    33
    >>> x, y = p                        # unpack like a regular tuple
    >>> x, y
    (11, 22)
    >>> p.x + p.y                       # fields also accessable by name
    33
    >>> d = p._asdict()                 # convert to a dictionary
    >>> d['x']
    11
    >>> Point(**d)                      # convert from a dictionary
    Point(x=11, y=22)
    >>> p._replace(x=100)               # _replace() is like str.replace() but targets named fields
    Point(x=100, y=22)

>>>


  

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