Dwarka Coding Club Page

04/12/2022

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21/10/2022

#55 End of the 1-Min python course || Dwarka Coding Club Page

Congratulations on the completion of the course!

Complete playlist: https://www.youtube.com/watch?v=n_F-_atStj8&list=PLLYZEFeS7wKiSN566R0keHLwucMmyXdqR

Please share this course in your study circle so that they can also get the benefit of it

For any enquiries, kindly reach out to us at: [email protected]

Best of luck for your career

Thank you so much!

Regards
Dwarka Coding Club

21/10/2022

#54 Monkey patching in python || Explained in 1 minute || Dwarka Coding Club Page

This video explains the monkey patching in python

Complete playlist: https://www.youtube.com/watch?v=n_F-_atStj8&list=PLLYZEFeS7wKiSN566R0keHLwucMmyXdqR

=============================== Notes =====================================

Monkey patching: for testing purpose, we modify the functionality of a function and after testing, we can set it back to its original functionality

class Sample:
def func1(self):
print("this is func1 from Sample")

def func2(self):
print("this is func2 from Sample")

def monkey_patch(self):
print("this is a patch for testing")

patch = Sample.func2
Sample.func2 = Sample.monkey_patch # monkey patching done
obj = Sample()
obj.func2()
Sample.func2 = patch # functionality restored
obj.func2()

21/10/2022

#53 Lambda functions in python || Explained in 1 minute || Dwarka Coding Club Page

This video explains the lambda functions in python

Complete playlist: https://www.youtube.com/watch?v=n_F-_atStj8&list=PLLYZEFeS7wKiSN566R0keHLwucMmyXdqR

=============================== Notes =====================================

Lambda functions: they are anonymous functions which can be used if a single line logic

def square(num):
return num*num

print(square(20))

func = lambda x : x*x
print(func(10))

21/10/2022

#52 Generators in python || Explained in 1 minute || Dwarka Coding Club Page

This video explains the generators in python

Complete playlist: https://www.youtube.com/watch?v=n_F-_atStj8&list=PLLYZEFeS7wKiSN566R0keHLwucMmyXdqR

=============================== Notes =====================================

Generators: we can generate the value only when the function is called instead of holding all the value in memory

gen = (i*i for i in range(10))

print(next(gen))
print(next(gen))
print(next(gen))

"yield" keyword can also be used to create a generator

def square(n):
for i in range(n):
yield i*i

gen2 = square(10)
print(next(gen2))
print(next(gen2))
print(next(gen2))

21/10/2022

#51 Decorators in python || Explained in 1 minute || Dwarka Coding Club Page

This video explains the decorators in python

Complete playlist: https://www.youtube.com/watch?v=n_F-_atStj8&list=PLLYZEFeS7wKiSN566R0keHLwucMmyXdqR

=============================== Notes =====================================

Decorator: it can be used to enhance the functionality of a function

def adder(a,b):
print(a+b)

adder(10,20)

def dec(func):
def inner(x,y):
print("before function call")
func(x,y)
print("after function call")
return inner


def adder(a,b):
print(a+b)

adder(10,20)

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21/10/2022

#50 Comprehensions in python || Explained in 1 minute || Dwarka Coding Club Page

This video explains the comprehensions in python

Complete playlist: https://www.youtube.com/watch?v=n_F-_atStj8&list=PLLYZEFeS7wKiSN566R0keHLwucMmyXdqR

=============================== Notes =====================================

Comprehensions: it is a shortcut to create a collection based on a certain condition

lst = []
for i in range(10):
if i%2 == 0:
lst.append(i)
print(lst)

print([i for i in range(10) if i%2 == 0])

we can create a collection without any condition as well

print([i for i in range(10)])

comprehensions can also be used to create set and dict

21/10/2022

#49 Operator overloading in python || Explained in 1 minute || Dwarka Coding Club Page

This video explains the operator overloading in python

Complete playlist: https://www.youtube.com/watch?v=n_F-_atStj8&list=PLLYZEFeS7wKiSN566R0keHLwucMmyXdqR

=============================== Notes =====================================

Operator overloading: using a predefined operator with a user defined variable (object)

class Person:
def __init__(self,a):
self.age = a

def __add__(self,obj):
return self.age + obj.age

obj1 = Person(10)
obj2 = Person(20)
print(obj1 + obj2)