Python Coding challenge - Day 1165| What is the output of the following Python Code?

 

Code Explanation:

🔹 1. Function Definition

def func():

✅ Explanation:

A function named func() is created.

The code inside the function will run only when func() is called.

🔹 2. Entering try Block

try:

✅ Explanation:

Python starts executing the code inside the try block.

If an exception occurs, control moves to the matching except block.

🔹 3. First Print Statement

print("A")

✅ Explanation:

Python prints:

A

Current Output:

A

🔹 4. Division by Zero

1 / 0

✅ Explanation:

Python tries to calculate:

1 ÷ 0

❌ Problem:

Division by zero is not allowed.

Python raises:

ZeroDivisionError

🔹 5. Exception Occurs

Because an exception happened:

1 / 0

Python immediately stops executing the remaining code inside try.

Control jumps to:

except ZeroDivisionError:

🔹 6. Matching except Block

except ZeroDivisionError:

✅ Explanation:

The raised exception is:

ZeroDivisionError

and the except block is specifically handling:

ZeroDivisionError

So this block executes.

🔹 7. Print Inside except

print("B")

✅ Explanation:

Python prints:

B

Current Output:

A

B

🔹 8. Entering finally

finally:

✅ Explanation:

finally always executes whether:

Exception occurs ✅

No exception occurs ✅

Return statement executes ✅

🔹 9. Print Inside finally

print("C")

✅ Explanation:

Python prints:

C

Current Output:

A

B

C

🔹 10. Function Call

func()

✅ Explanation:

Calls the function.

Entire execution described above takes place.

🎯 Final Output

A

B

C

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Python Coding challenge - Day 1164| What is the output of the following Python Code?

 

Code Explanation:

🔹 1. Creating Empty List

funcs = []

✅ Explanation:

An empty list named funcs is created.

This list will store lambda functions.

Current state:

funcs = []

🔹 2. Starting Loop

for i in range(3):

✅ Explanation:

range(3) generates:

0, 1, 2

Loop runs 3 times.

🔹 3. First Iteration (i = 0)

funcs.append(lambda x: x + i)

✅ Explanation:

A lambda function is created:

lambda x: x + i

and stored in the list.

⚠️ Important:

The lambda does not store the value 0.

It stores a reference to variable i.

Current list:

[

    lambda x: x + i

]

🔹 4. Second Iteration (i = 1)

Again:

funcs.append(lambda x: x + i)

Another lambda is added.

Current list:

[

    lambda x: x + i,

    lambda x: x + i

]

🔹 5. Third Iteration (i = 2)

Again:

funcs.append(lambda x: x + i)

Current list:

[

    lambda x: x + i,

    lambda x: x + i,

    lambda x: x + i

]

🔹 6. Loop Ends

After loop finishes:

i = 2

✅ Important:

There is only one variable i.

All lambdas refer to the same variable.

Final value of i:

2

🔹 7. First Function Call

print(funcs[0](10))

🔍 What happens?

First lambda:

lambda x: x + i

receives:

x = 10

Current value of:

i = 2

Calculation:

10 + 2

Result:

12

Printed:

12

🔹 8. Second Function Call

print(funcs[1](10))

🔍 What happens?

Second lambda is:

lambda x: x + i

Again:

x = 10

i = 2

Calculation:

10 + 2

Result:

12

Printed:

12

🎯 Final Output

12

12

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Python Coding challenge - Day 1163| What is the output of the following Python Code?

 

Code Explanation:

🔹 1. Generator Function Definition

def gen():

✅ Explanation:

A function named gen() is created.

Since it contains yield, it becomes a generator function.

Calling it will return a generator object.

🔹 2. First yield

yield 1

✅ Explanation:

Generator produces the value:

1

Then pauses execution.

🔹 3. yield from

yield from [2, 3]

✅ Explanation:

yield from is a shortcut for yielding all values from another iterable.

Python internally treats it like:

for x in [2, 3]:

    yield x

🔍 First value from list

2

is yielded.

Generator pauses.

🔍 Second value from list

3

is yielded.

Generator pauses again.

🔹 4. Final yield

yield 4

✅ Explanation:

After yield from finishes,

generator yields:

4

🔹 5. Calling Generator

gen()

✅ Explanation:

Does NOT execute immediately.

Creates a generator object.

Something like:

<generator object gen at 0x...>

🔹 6. Converting to List

print(list(gen()))

✅ Explanation:

list() consumes the entire generator.

It collects every yielded value.

Values generated in order:

First:

yield 1

Output:

1

Second:

yield from [2,3]

Outputs:

2

3

Third:

yield 4

Output:

4

🔹 7. Final List

Collected values:

[1, 2, 3, 4]

🎯 Final Output

[1, 2, 3, 4]

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Python Coding challenge - Day 1162| What is the output of the following Python Code?

 

Code Explanation:

🔹 1. Importing asyncio

import asyncio

✅ Explanation:

Imports Python's asyncio module.

Used for asynchronous programming.

In this code, asyncio is imported but not actually used.

🔹 2. Defining an Async Function

async def func():

✅ Explanation:

async def creates an asynchronous function.

Also called a coroutine function.

⚠️ Important:

This is NOT a normal function.

Example:

def normal():

    return 10

returns value immediately.

But:

async def func():

    return 10

returns a coroutine when called.

🔹 3. Return Statement

return 10

✅ Explanation:

If the coroutine is executed,

it will eventually return:

10

But execution hasn't happened yet.

🔹 4. Calling the Async Function

x = func()

🔍 What most beginners think:

x = 10

❌ Wrong

✅ What actually happens:

Calling:

func()

creates a coroutine object.

So:

x

stores:

<coroutine object func at ...>

🔹 5. Why Function Doesn't Execute?

Because async functions must be:

await func()

or

asyncio.run(func())

to actually run.

Without that:

func()

only creates a coroutine object.

🔹 6. Checking Type

print(type(x))

✅ Explanation:

Python checks type of:

x

which is a coroutine object.

🔹 7. Result

Output becomes:

<class 'coroutine'>

🎯 Final Output

<class 'coroutine'>

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Python Coding challenge - Day 1161| What is the output of the following Python Code?

 

Code Explanation:

🔹 1. Creating the List

nums = [1, 2, 3, 4, 5]

✅ Explanation:

A list named nums is created.

It contains:

[1, 2, 3, 4, 5]

🔹 2. Using filter()

result = filter(

✅ Explanation:

filter() is a built-in Python function.

It filters elements based on a condition.

Syntax:

filter(function, iterable)

function → returns True or False

iterable → list, tuple, etc.

🔹 3. Lambda Function

lambda x: x % 2 == 0

✅ Explanation:

This is an anonymous function.

Equivalent code:

def check(x):

    return x % 2 == 0

Condition:

x % 2 == 0

Checks whether a number is even.

🔹 4. Passing the List

nums

✅ Explanation:

The lambda function will be applied to each element of:

[1, 2, 3, 4, 5]

🔹 5. Internal Working of filter()

Python checks every element one by one.

🔍 For 1

1 % 2 == 0

Result:

False

❌ Rejected

🔍 For 2

2 % 2 == 0

Result:

True

✅ Kept

🔍 For 3

3 % 2 == 0

Result:

False

❌ Rejected

🔍 For 4

4 % 2 == 0

Result:

True

✅ Kept

🔍 For 5

5 % 2 == 0

Result:

False

❌ Rejected

🔹 6. Result After Filtering

Remaining values:

2

4

So internally:

filter object → [2, 4]

🔹 7. Converting to List

print(list(result))

✅ Explanation:

filter() returns a filter object (iterator).

list() converts it into a list.

Result:

[2, 4]

🎯 Final Output

[2, 4]

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Python Coding challenge - Day 1160| What is the output of the following Python Code?

 

Code Explanation:

🔹 1. Creating an Empty List

context = []

✅ Explanation:

An empty list named context is created.

Current state:

[]

🔹 2. Starting the Loop

for i in range(3):

✅ Explanation:

range(3) generates:

0, 1, 2

Loop will run 3 times.

🔹 3. First Iteration

Value of i

i = 0

Executing

context.append(i)

List becomes

[0]

🔹 4. Second Iteration

Value of i

i = 1

Executing

context.append(i)

List becomes

[0, 1]

🔹 5. Third Iteration

Value of i

i = 2

Executing

context.append(i)

List becomes

[0, 1, 2]

🔹 6. Loop Ends

After all iterations:

context

contains:

[0, 1, 2]

🔹 7. Removing First Element

context.pop(0)

✅ Explanation:

pop(index) removes and returns the element at that index.

Here index is:

0

which is the first element.

Removed value:

0

List becomes:

[1, 2]

🔹 8. Printing the List

print(context)

✅ Explanation:

Prints the final contents of the list.

🎯 Final Output

[1, 2]

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Python Coding challenge - Day 1159| What is the output of the following Python Code?

 

Code Explanation:

🔹 1. Class Definition

class Test:

✅ Explanation:

A class named Test is created.

Inside this class, the magic method __len__ is defined.

🔹 2. Defining __len__

def __len__(self):

✅ Explanation:

__len__ controls what happens when:

len(obj)

is called.

🔹 3. Returning Length

return 0

✅ Explanation:

Whenever Python asks for object length,

it returns:

0

So:

len(obj)

would become:

0

🔹 4. Creating Object

obj = Test()

✅ Explanation:

Creates object obj of class Test.

🔹 5. Boolean Conversion

print(bool(obj))

✅ Explanation:

Python checks truth value of object.

🔹 6. How Python Decides Truth Value

Python checks in this order:

__bool__()

If absent → __len__()

In this class:

__bool__ does NOT exist

So Python uses:

__len__()

🔹 7. Internal Execution

Python internally does:

len(obj)

which returns:

0

🔹 8. Boolean Rule

✅ Important Rule:

Length Boolean Value

0 False

>0 True

Since:

len(obj) = 0

👉 Boolean becomes:

False

🎯 Final Output

False

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Python Coding challenge - Day 1158| What is the output of the following Python Code?

 

Code Explanation:

🔹 1. Class Definition

class Test:

✅ Explanation:

A class named Test is created.

Inside this class, __setattr__ magic method is overridden.

🔹 2. Overriding __setattr__

def __setattr__(self, name, value):

✅ Explanation:

__setattr__ runs whenever an attribute is assigned.

For example:

obj.x = 5

internally becomes:

obj.__setattr__("x", 5)

🔹 3. Using super().__setattr__

super().__setattr__(name, value * 2)

✅ Explanation:

Before storing value,

it multiplies it by 2.

🔍 Calculation

Original value:

5

Modified value:

5 * 2 = 10

🔹 4. Why super() is Important

⚠️ Important:

If we directly wrote:

self.x = value

it would again call:

__setattr__

leading to:

Infinite Recursion

So we use:

super().__setattr__()

to safely assign value.

🔹 5. Creating Object

obj = Test()

✅ Explanation:

Creates object obj of class Test.

🔹 6. Assigning Attribute

obj.x = 5

🔍 What happens internally:

Python calls:

__setattr__(obj, "x", 5)

Inside method:

value * 2

becomes:

10

Then:

super().__setattr__("x", 10)

stores:

x = 10

🔹 7. Printing Attribute

print(obj.x)

✅ Explanation:

Stored value is already:

10

So output becomes:

10

🎯 Final Output

10

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Python Coding challenge - Day 1157| What is the output of the following Python Code?

 

Code Explanation:

🔹 1. Class Definition

class Test:

✅ Explanation:

A class named Test is created.

Inside this class, a class variable data is defined.

🔹 2. Class Variable Creation

data = {}

✅ Explanation:

data is a class variable

It belongs to the class itself, not individual objects.

⚠️ Important:

This dictionary is shared among ALL objects of the class.

🔹 3. Creating First Object

a = Test()

✅ Explanation:

Creates object a of class Test.

At this point:

a.data → {}

But this is actually:

Test.data

🔹 4. Creating Second Object

b = Test()

✅ Explanation:

Creates another object b.

Again:

b.data

points to same class dictionary.

🔹 5. Modifying Dictionary Using a

a.data["x"] = 1

✅ Explanation:

Adds key-value pair:

"x": 1

to shared dictionary.

Now class variable becomes:

{"x": 1}

🔹 6. Why b.data Also Changes

Since:

a.data

b.data

both refer to SAME dictionary:

Test.data

So changes made through a

are visible through b.

🔹 7. Printing b.data

print(b.data)

✅ Output:

{'x': 1}

🎯 Final Output

{'x': 1}

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Python Coding challenge - Day 1156| What is the output of the following Python Code?

 

Code Explanation:

🔹 1. Decorator Function Definition

def deco(func):

✅ Explanation:

A function deco is created.

It takes another function (func) as argument.

🔍 In this code:

func will become:

show()

🔹 2. Wrapper Function Definition

def wrapper():

✅ Explanation:

wrapper is an inner function.

This function will replace original show().

🔹 3. Modified Return Value

return "Hi " + func()

✅ Explanation:

Calls original function:

func()

🔍 Original function returns:

"Python"

Then:

"Hi " + "Python"

becomes:

"Hi Python"

🔹 4. Returning Wrapper

return wrapper

✅ Explanation:

Decorator returns wrapper function.

So original function gets replaced.

🔹 5. Applying Decorator

@deco

✅ Explanation:

This is shortcut for:

show = deco(show)

🔍 What happens:

Original show() passed into deco

wrapper returned

show now points to wrapper

🔹 6. Original Function

def show():

    return "Python"

✅ Explanation:

Original function returns:

"Python"

But now it is wrapped by decorator.

🔹 7. Calling Function

print(show())

🔍 What actually runs:

wrapper()

🔹 8. Execution Inside Wrapper

Step 1:

func()

calls original:

show()

returns:

"Python"

Step 2:

Wrapper adds:

"Hi " + "Python"

Result:

"Hi Python"

🎯 Final Output

Hi Python

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Python Coding challenge - Day 1151| What is the output of the following Python Code?

 

Code Explanation;

🔹 1. Class Definition

class Test:

✅ Explanation:

A class Test is created.

It contains a method named gen.

🔹 2. Generator Method Definition

def gen(self):

✅ Explanation:

gen is an instance method.

self refers to the current object.

⚠️ Important:

Since method contains yield,

it becomes a generator method.

🔹 3. Loop Inside Generator

for i in range(3):

✅ Explanation:

Loop runs for:

0, 1, 2

🔹 4. yield Statement

yield i

✅ Explanation:

yield returns one value at a time.

Function pauses after each yield.

State is remembered for next iteration.

🔹 5. Creating Object

obj = Test()

✅ Explanation:

Creates object obj of class Test.

🔹 6. Calling Generator Method

obj.gen()

✅ Explanation:

Does NOT immediately run method.

Returns a generator object.

🔹 7. for Loop Iteration

for x in obj.gen():

✅ Explanation:

Python internally keeps calling:

next(generator)

until generator is exhausted.

🔹 8. First Iteration

🔍 Execution:

Loop starts:

i = 0

yield 0

✔️ So:

x = 0

Printed:

0

🔹 9. Second Iteration

🔍 Execution:

Generator resumes:

i = 1

yield 1

Printed:

1

🔹 10. Third Iteration

🔍 Execution:

Generator resumes:

i = 2

yield 2

Printed:

2

🔹 11. Generator Exhausted

✅ Explanation:

Loop ends after i = 2

No more values

Python raises internal:

StopIteration

which automatically stops loop.

🎯 Final Output

0

1

2

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Python Coding challenge - Day 1150| What is the output of the following Python Code?

 

Code Explanation:

🔹 1. Class Definition

class Test:

✅ Explanation:

A class Test is created.

Inside it:

A decorator method is defined

A normal method show() is defined

🔹 2. Decorator Function Definition

def deco(func):

✅ Explanation:

deco is a decorator function.

It takes another function (func) as argument.

🔍 In this case:

func will become:

show()

🔹 3. Wrapper Function

def wrapper(self):

✅ Explanation:

wrapper is the new function that replaces original show()

self refers to current object (obj)

🔹 4. Returning Modified Output

return "Hello " + func(self)

✅ Explanation:

Calls original function:

func(self)

which is:

show(self)

🔍 Original function returns:

"World"

So final result becomes:

"Hello World"

🔹 5. Returning Wrapper

return wrapper

✅ Explanation:

deco() returns wrapper

So original method show() gets replaced by wrapper

🔹 6. Applying Decorator

@deco

✅ Explanation:

This line means:

show = deco(show)

🔍 So:

Original show() is passed into deco

Returned wrapper becomes new show

🔹 7. Original Method

def show(self):

    return "World"

✅ Explanation:

Original method simply returns:

"World"

🔹 8. Object Creation

obj = Test()

✅ Explanation:

Creates object obj of class Test

🔹 9. Calling Decorated Method

print(obj.show())

🔍 What happens internally:

Since decorator replaced method:

obj.show()

actually calls:

wrapper(obj)

Step-by-step Execution:

➤ Inside wrapper:

func(self)

calls original:

show(obj)

returns:

"World"

➤ Final result:

"Hello " + "World"

becomes:

"Hello World"

🎯 Final Output

Hello World

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Python Coding challenge - Day 1155| What is the output of the following Python Code?

 

Code Explanation:

🔹 1. Class Definition

class Test:

✅ Explanation:

A class named Test is created.

Inside this class:

A class variable x

A constructor __init__

are defined.

🔹 2. Class Variable Creation

x = []

✅ Explanation:

x is a class variable

It belongs to the class itself, NOT individual objects.

⚠️ Important:

This list is shared by ALL objects of the class.

🔹 3. Constructor Definition

def __init__(self, value):

✅ Explanation:

Constructor runs whenever object is created.

value receives value passed during object creation.

🔹 4. Appending Value

self.x.append(value)

✅ Explanation:

self.x first searches:

Instance variable

Then class variable

Since object has no own x,

Python uses class variable:

Test.x

🔹 5. Creating First Object

a = Test(1)

🔍 What happens:

Constructor runs:

self.x.append(1)

Class list becomes:

[1]

🔹 6. Creating Second Object

b = Test(2)

🔍 What happens:

Again constructor runs:

self.x.append(2)

Since same class list is used:

[1, 2]

🔹 7. Printing Values

print(a.x, b.x)

✅ Explanation:

Both:

a.x

b.x

point to SAME class variable.

So both print:

[1, 2]

🎯 Final Output

[1, 2] [1, 2]

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Python Coding challenge - Day 1154| What is the output of the following Python Code?

 

Code Explanation:

🔹 1. Importing reduce

from functools import reduce

✅ Explanation:

reduce is imported from Python’s functools module.

reduce() repeatedly applies a function to iterable elements.

🔹 2. Creating List

a = [1,2,3,4]

✅ Explanation:

A list a is created with elements:

[1, 2, 3, 4]

🔹 3. Using reduce()

result = reduce(lambda x,y: x*y, a)

✅ Explanation:

reduce() takes:

A function

An iterable

🔹 4. Lambda Function

lambda x,y: x*y

✅ Explanation:

Anonymous function

Takes two values:

x, y

Returns:

x * y

🔹 5. How reduce() Works Internally

reduce() processes elements step-by-step.

🔍 Step 1

First two elements:

1 * 2 = 2

Now result becomes:

2

🔍 Step 2

Previous result with next element:

2 * 3 = 6

🔍 Step 3

Again with next element:

6 * 4 = 24

🔹 6. Final Result Stored

result = 24

🔹 7. Printing Result

print(result)

✅ Output:

24

🎯 Final Output

24

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Python Coding challenge - Day 1153| What is the output of the following Python Code?

 

Code Explanation:

🔹 1. First List Creation

a = [1,2,3]

✅ Explanation:

A list a is created.

Elements are:

[1, 2, 3]

🔹 2. Second List Creation

b = [4,5,6]

✅ Explanation:

Another list b is created.

Elements are:

[4, 5, 6]

🔹 3. Using map()

result = map(lambda x,y: x+y, a, b)

✅ Explanation:

map() applies a function to elements of iterables.

🔹 4. Lambda Function

lambda x,y: x+y

✅ Explanation:

Anonymous function (lambda)

Takes:

x, y

Returns:

x + y

🔹 5. Pairwise Processing

map() takes values from both lists together.

🔍 Internally:

x y x+y

1 4 5

2 5 7

3 6 9

🔹 6. map() Returns Iterator

✅ Explanation:

map() does NOT directly return list.

It returns:

map object (iterator)

which generates values lazily.

🔹 7. Converting to List

print(list(result))

✅ Explanation:

list() consumes iterator

Collects all generated values into list

Final list:

[5, 7, 9]

🎯 Final Output

[5, 7, 9]

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Python Coding challenge - Day 1152| What is the output of the following Python Code?

 

Code Explanation:

🔹 1. Generator Function Definition

def gen():

✅ Explanation:

A generator function gen() is created.

Since it uses yield, it becomes a generator.

🔹 2. Receiving Value with yield

x = yield

✅ Explanation:

This is a special use of yield.

🔍 What it does:

Pauses generator execution

Waits to RECEIVE a value using:

send(value)

The received value gets stored in:

x

🔹 3. Second yield

yield x * 2

✅ Explanation:

Multiplies received value by 2

Returns result using yield

🔹 4. Creating Generator Object

g = gen()

✅ Explanation:

Calling gen() does NOT run function immediately.

It creates a generator object g.

🔹 5. Starting Generator

next(g)

✅ Explanation:

Before using:

send(value)

generator must first reach the first yield.

🔍 What happens internally:

Execution starts:

x = yield

Generator pauses here waiting for value.

⚠️ Important:

At this moment:

x → not assigned yet

Generator is now ready to receive data.

🔹 6. Sending Value into Generator

g.send(5)

✅ Explanation:

Sends value 5 into paused generator.

That value becomes:

x = 5

🔹 7. Execution Resumes

After receiving value:

yield x * 2

Calculation:

5 * 2 = 10

Generator yields:

10

🔹 8. Printing Result

print(g.send(5))

✅ Output:

10

🎯 Final Output

10

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Python Coding challenge - Day 1151| What is the output of the following Python Code?

 

Code Explanation:

🔹 1. Class Definition

class Test:

✅ Explanation:

A class named Test is created.

Inside this class, a method gen() is defined.

🔹 2. Generator Method Definition

def gen(self):

✅ Explanation:

gen is an instance method.

self refers to the current object.

⚠️ Important:

Because this method contains yield,

it becomes a generator method.

🔹 3. for Loop Inside Generator

for i in range(3):

✅ Explanation:

Loop runs 3 times:

0, 1, 2

🔹 4. yield Statement

yield i

✅ Explanation:

yield returns one value at a time.

After returning value, function pauses.

State is saved for next iteration.

🔹 5. Object Creation

obj = Test()

✅ Explanation:

Creates object obj of class Test.

🔹 6. Calling Generator Method

obj.gen()

✅ Explanation:

Method does NOT execute immediately.

It returns a generator object.

🔹 7. for Loop Iteration

for x in obj.gen():

✅ Explanation:

Python internally calls:

next(generator)

again and again.

🔹 8. First Iteration

🔍 Execution:

i = 0

yield 0

✔️ Printed:

0

Function pauses here.

🔹 9. Second Iteration

🔍 Execution resumes:

i = 1

yield 1

✔️ Printed:

1

Function pauses again.

🔹 10. Third Iteration

🔍 Execution resumes:

i = 2

yield 2

✔️ Printed:

2

🔹 11. Generator Ends

✅ Explanation:

Loop finishes after i = 2

Generator has no more values

Python raises internal:

StopIteration

The for loop automatically handles it and stops.

🎯 Final Output

0

1

2

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Python Coding challenge - Day 1150| What is the output of the following Python Code?

 

Code Explanation:

🔹 1. Class Definition

class Test:

✅ Explanation:

A class named Test is created.

Inside this class:

A decorator function deco is defined

A method show is defined

🔹 2. Decorator Function Definition

def deco(func):

✅ Explanation:

deco is a decorator function.

It takes another function (func) as argument.

🔍 In this code:

func will be:

show()

🔹 3. Wrapper Function Inside Decorator

def wrapper(self):

✅ Explanation:

wrapper is a new function created inside decorator.

This function will replace original show() method.

self refers to current object (obj).

🔹 4. Modified Return Statement

return "Hello " + func(self)

✅ Explanation:

Calls original function:

func(self)

🔍 Original show() returns:

"World"

So final result becomes:

"Hello World"

🔹 5. Returning Wrapper

return wrapper

✅ Explanation:

Decorator returns wrapper.

So original function is replaced by wrapper function.

🔹 6. Applying Decorator

@deco

✅ Explanation:

This line means:

show = deco(show)

🔍 What happens:

Original show() is passed into deco

deco returns wrapper

show now points to wrapper

🔹 7. Original Method

def show(self):

    return "World"

✅ Explanation:

Original method simply returns:

"World"

But because of decorator,

this method is wrapped inside wrapper.

🔹 8. Object Creation

obj = Test()

✅ Explanation:

Creates object obj of class Test.

🔹 9. Calling Method

print(obj.show())

🔍 What happens internally:

Because of decorator:

obj.show()

actually becomes:

wrapper(obj)

🔹 10. Execution Inside Wrapper

Step 1:

func(self)

calls original:

show(obj)

returns:

"World"

Step 2:

Wrapper adds:

"Hello " + "World"

Result:

"Hello World"

🎯 Final Output

Hello World

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Python Coding challenge - Day 1149| What is the output of the following Python Code?

 

Code Explanation:

1. Generator Function Definition

def gen():

✅ Explanation:

A function gen() is created.

Since it contains yield, it becomes a generator function.

⚠️ Important:

Generator functions do NOT run immediately.

They return a generator object.

🔹 2. First Print Statement

print("A")

✅ Explanation:

When execution starts, "A" will be printed first.

🔹 3. First yield

yield 1

✅ Explanation:

yield returns a value (1)

Then pauses the function

Function state is remembered

🔹 4. Second Print Statement

print("B")

✅ Explanation:

This line runs only when generator resumes after first pause.

🔹 5. Second yield

yield 2

✅ Explanation:

Returns 2

Again pauses the generator

🔹 6. Creating Generator Object

g = gen()

✅ Explanation:

gen() is called

But function body does NOT execute yet

A generator object g is created

🔹 7. First next() Call

print(next(g))

🔍 What happens internally:

Generator starts execution from beginning.

Step-by-step:

Executes:

print("A")

Output:

A

Reaches:

yield 1

Returns:

1

Generator pauses here

✔️ Output so far:

A

1

🔹 8. Second next() Call

print(next(g))

🔍 What happens internally:

Generator resumes from where it paused.

Step-by-step:

Executes:

print("B")

Output:

B

Reaches:

yield 2

Returns:

2

Generator pauses again

🎯 Final Output

A

1

B

2

Book: 900 Days Python Coding Challenges with Explanation

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Python Coding challenge - Day 1148| What is the output of the following Python Code?

 

Code Explanation:

🔹 1. Function Definition

def func():

✅ Explanation:

A function named func is created.

It contains:

try block

except block

finally block

🔹 2. try Block

try:

    print(10 / 0)

✅ Explanation:

Python tries to execute:

10 / 0

⚠️ Problem:

Division by zero is not allowed.

So Python raises:

ZeroDivisionError

🔹 3. Exception Occurs

ZeroDivisionError

✅ Explanation:

Since an error occurs inside try,

Python immediately stops the remaining try code

It searches for a matching except

🔹 4. except Block

except ZeroDivisionError:

    print("ERROR")

✅ Explanation:

This block catches only:

ZeroDivisionError

✔️ So it runs:

print("ERROR")

Output:

ERROR

🔹 5. finally Block

finally:

    print("DONE")

✅ Explanation:

finally always executes:

Error occurred ✅

No error ✅

Return statement ✅

✔️ So it prints:

DONE

🔹 6. Function Call

func()

✅ Execution Flow:

try → error occurs

       ↓

except runs

       ↓

finally runs

🎯 Final Output

ERROR

DONE

Book:  500 Days Python Coding Challenges with Explanation

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