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Python: Built-in Functions vs. For & If Loops – 5 Programs Explained

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Python’s built-in functions make coding fast and efficient. But understanding how they work under the hood is crucial to mastering Python. This post shows five Python tasks, each implemented in two ways: Using built-in functions Using for loops and if statements ✅ 1. Sum of a List ✅ Using Built-in Function: numbers = [ 10 , 20 , 30 , 40 ] total = sum (numbers) print ( "Sum:" , total) 🔁 Using For Loop: numbers = [ 10 , 20 , 30 , 40 ] total = 0 for num in numbers: total += num print ( "Sum:" , total) ✅ 2. Find Maximum Value ✅ Using Built-in Function: values = [ 3 , 18 , 7 , 24 , 11 ] maximum = max (values) print ( "Max:" , maximum) 🔁 Using For and If: values = [ 3 , 18 , 7 , 24 , 11 ] maximum = values[ 0 ] for val in values: if val > maximum: maximum = val print ( "Max:" , maximum) ✅ 3. Count Vowels in a String ✅ Using Built-ins: text = "hello world" vowel_count = sum ( 1 for ch in text if ch i...
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Python Abstract Classes to Learn Quickly

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Here's the best example of how to understand the abstract classes of python quickly. An abstract class means it is a skeleton. You cannot instantiate abstract classes.

For Example:

The abstract class name is 'dog'

o = dog()

It gives an error. Since the 'dog' is an abstract class.

I am sharing with you a clear understanding of abstract class. So that you can tell confidently about these classes.

Here is the beautiful answer with syntax and examples of the Python abstract class.


The syntax for Abstract Class


from abc, import ABC, abstractmethod 
class <class name>(ABC):
@abstractmethod 
def <method name>(): 
#abstract class definition

Python Abstract Class Explanation


from abc import ABC, abstractmethod
class AbsBaseClass(ABC):
def __init__(self):
print("Abstract class")
@abstractmethod
def abMeth(self):
pass
def conMeth(self):
print("I'm a concrete method")
class Derived(AbsBaseClass):
def abMeth(self):
print("I'm redefined")
o=Derived()
o.abMeth()
o.conMeth()




References

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