Showing posts with label Python. Show all posts
Showing posts with label Python. Show all posts

Thursday, 21 May 2026

🚀 Day 49/150 – Remove Duplicates from a List in Python

 

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🚀 Day 49/150 – Remove Duplicates from a List in Python

Removing duplicates means keeping only unique elements in a list.

Example:
[1, 2, 2, 3, 4, 4, 5] → [1, 2, 3, 4, 5]

Let’s explore different ways to remove duplicates 👇

🔹 Method 1 – Using set()

numbers = [1, 2, 2, 3, 4, 4, 5] unique = list(set(numbers)) print("Unique List:", unique)
This is the simplest and fastest method.
However, it does not preserve the original order of elements.


🔹 Method 2 – Using Loop

numbers = [1, 2, 2, 3, 4, 4, 5] unique = [] for num in numbers: if num not in unique: unique.append(num) print("Unique List:", unique)






This method is easy to understand and preserves order, making it great for beginners.

🔹 Method 3 – Using dict.fromkeys()

numbers = [1, 2, 2, 3, 4, 4, 5] unique = list(dict.fromkeys(numbers)) print("Unique List:", unique)







This is a clean and efficient method that also maintains order (Python 3.7+).

🔹 Method 4 – Using List Comprehension

numbers = [1, 2, 2, 3, 4, 4, 5] unique = [] [unique.append(x) for x in numbers if x not in unique] print("Unique List:", unique)





This works correctly, but it’s not recommended because list comprehensions are meant for creating lists, not for side effects.



🔹 Output

Unique List: [1, 2, 3, 4, 5]


🔥 Key Takeaways

✔️ Use set() for speed when order doesn’t matter
✔️ Use loops or dict.fromkeys() to preserve order
✔️ Avoid using list comprehension for side effects
✔️ Choose the method based on your requirement



Tuesday, 19 May 2026

🚀 Day 48/150 – Count Even and Odd Numbers in a List in Python


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Counting even and odd numbers in a list helps you practice loops, conditions, and list handling.

 Even numbers are divisible by 2
 Odd numbers are not divisible by 2

Example:
[1, 2, 3, 4, 5] → Even = 2, Odd = 3

Let’s explore different ways 👇

🔹 Method 1 – Using for Loop

numbers = [1, 2, 3, 4, 5] even = 0 odd = 0 for num in numbers: if num % 2 == 0: even += 1 else: odd += 1 print("Even:", even) print("Odd:", odd)






✅ Most common method.

🔹 Method 2 – Taking User Input

numbers = list(map(int, input("Enter numbers: ").split())) even = odd = 0 for num in numbers: if num % 2 == 0: even += 1 else: odd += 1 print("Even:", even) print("Odd:", odd)






✅ Dynamic input.

🔹 Method 3 – Using List Comprehension

numbers = [1, 2, 3, 4, 5] even = len([num for num in numbers if num % 2 == 0]) odd = len([num for num in numbers if num % 2 != 0]) print("Even:", even) print("Odd:", odd)




✅ Clean and Pythonic.

🔹 Method 4 – Using while Loop

numbers = [1, 2, 3, 4, 5] i = 0 even = odd = 0 while i < len(numbers): if numbers[i] % 2 == 0: even += 1 else: odd += 1 i += 1 print("Even:", even) print("Odd:", odd)

✅ Loop practice.





Sunday, 17 May 2026

🚀 Day 47/150 – Average of List Elements in Python

 

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Finding the average (mean) of a list means adding all elements and dividing by the total number of elements.

Formula:
Average = Sum of elements / Number of elements

Example:
[2, 4, 6, 8] → Average = (2+4+6+8)/4 = 5.0

Let’s explore different ways to calculate average 👇

🔹 Method 1 – Using sum() and len()

✅ Easiest and most recommended method.

numbers = [2, 4, 6, 8] avg = sum(numbers) / len(numbers) print("Average:", avg)

✅ Easiest and most recommended method.

🔹 Method 2 – Using for Loop

numbers = [2, 4, 6, 8] total = 0 for num in numbers: total += num avg = total / len(numbers) print("Average:", avg)











✅ Good for understanding logic.

🔹 Method 3 – Taking User Input

numbers = list(map(int, input("Enter numbers: ").split())) avg = sum(numbers) / len(numbers) print("Average:", avg)



✅ Dynamic input from user.


🔹 Method 4 – Using while Loop

numbers = [2, 4, 6, 8] i = 0 total = 0 while i < len(numbers): total += numbers[i] i += 1 avg = total / len(numbers) print("Average:", avg)








✅ Alternative looping method.


🔹 Method 5 – Using Function

def average(lst): return sum(lst) / len(lst) print(average([2, 4, 6, 8]))




✅ Clean and reusable.


🔹 Output

Average: 5.0

🔥 Key Takeaways

✔️ Use sum() and len() for simplicity
✔️ Average = total / count
✔️ Loops help build logic
✔️ Handle empty list to avoid division error















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