Advanced Programming Features in Python

Python Programming Advanced Features:

Hello readers, welcome back to know the features in python and its Programming facts. Python is the most widely used languages and rich in features. Here are few mentioned Python Programming advanced features in Python.

Advanced Features:

Tim Peters has written the poem on Python called “The Zen Of Python’. We can read this poem by writing this statement in the python interpreter. The Statement is ‘import this’.

Python Poem:

The Zen of Python, by Tim Peters

Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren’t special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one– and preferably only one –obvious way to do it.
Although that way may not be obvious at first unless you’re Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it’s a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea — let’s do more of those!

We can write functions in the python program and can return multiple values once it is completed. In other languages, we can return only one value. This is the functions advantage in a Python program.

Functions Example:

def employee(fname,lname,desig):
	firstname = fname
	lastname = lname
	designation = desig
	return firstname,lastname

employee('Srikanth','Bashaboina')

We can use ‘else’ clause with for loop in python conditional loops. Here ‘else’ clause executes when only for loop exists naturally, without any break statements. While writing the program this way you can not use the break function inside the ‘for loop’.

Else Clause Example:

alphabets = ['a','b','c']
for i in alphabets:
	if i == 'bc':
		print("'bc' exists in the list")
else:
	print("'bc' doesn't exists in the list")

Python programming doesn’t support pointers, rather it uses references for everything to call the functions or variables.

We can pass the list or dictionaries to the functions. This defines as Argument passing or Argument Unpacking. This is another awesome programming feature. With the use of * and ** can pass the function argument.

def coordinates(width, height):
	print(width,height)

coordinates_list = [1,2]
coordinates_dict = {'width':1,'height':2}

coordinates(*coordinates_list) #Unpacking list
coordinates(**coordinates_dict) #Unpacking dictionaries

When we want to find an index and its value we can use an enumerate() function in the Python, it is built-in functions used to return and enumerate objects. Without using an iteration value can find its index inside the ‘for loop’.

students = ['John','Doe','Srikanth','Alexa']
for index,name in enumerate(students):
	print(index, name)

We can use multiple comparison operators at once, like checking the one object value with multiple objects. In fact, this is mainly used in expressions. We can call this feature as Chained Comparisons. Example: Comparisons can be chained arbitrarily, we can also use the different comparison operators like “<,>,==,>=,<=, and !=” to compare the values.

a,b,c = 10,20,20
value = a < b <= c
print(value)

We can find the Infinity value in Python using math library or functions, I guess its an advanced feature in compare of other programming languages. Infinity is find using Data Types in Python
‘math.inf’ is a built-in variable in Python, you can use this variable to find infinity. We can check both the positive and negative values.

Example: 

import math
check_infinity = float(math.inf)
if 99999999999999 > check_infinity:
		print("Number is greater than Infinity")
else:
	print("Infinity 'math.inf' is greatest")

Data Structures is the most important concept in programming languages. For example, data structures we can take an array or list. In general, there is no array concept in Python rather it uses list. Instead of building a list with a loop, one can build it more concisely with a list comprehension.

This is a simple list appending example:

list = []
for i in range(0,11):
	list.append(i)
print(list)

List Comprehension:
print([i for i in list])

There are lot more Advanced Programming Features in Python. I have listed a few important ones.

Please click here for more features in Python and its documentation.
Please click here for the Advantages of Python

Advanced Programming Features in Python
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