Home » 20 Best Python One-Liners to Boost Your Coding Skills

20 Best Python One-Liners to Boost Your Coding Skills

20 Best Python One-Liners to Boost Your Coding Skills

Hello everyone, Welcome to Programming In Python. Here you will know about few best Python One-Liners. Let’s get started.

Python is one of the most powerful and beginner-friendly programming languages, known for its simplicity and readability. But did you know that Python also allows you to perform complex tasks in just a single line of code? In this blog post, we will explore 20 powerful Python one-liners that can help you write more efficient and concise code. Whether you are a beginner or an experienced developer, these tricks will definitely save you time and effort.

1. Swap Two Variables

Swapping two variables usually requires a temporary variable, but in Python, you can do it in one line.

a, b = b, a

This swaps the values of a and b without requiring an extra variable.

Example

a, b = 5, 10
a, b = b, a
print(a, b)  # Output: 10 5

2. Reverse a List

Want to reverse a list without using a loop? Try this

reversed_list = my_list[::-1]

This slicing trick reverses the list instantly.

Example

my_list = [1, 2, 3, 4, 5]
reversed_list = my_list[::-1]
print(reversed_list)  # Output: [5, 4, 3, 2, 1]

3. Merge Two Dictionaries

Combining two dictionaries can be done effortlessly.

merged_dict = {**dict1, **dict2}

This merges dict1 and dict2 into a single dictionary.

Example

dict1 = {'a': 1, 'b': 2}
dict2 = {'c': 3, 'd': 4}
merged_dict = {**dict1, **dict2}
print(merged_dict)  # Output: {'a': 1, 'b': 2, 'c': 3, 'd': 4}

4. Check if a String is a Palindrome

A simple way to check if a string reads the same forward and backward.

s == s[::-1]

Example

is_palindrome = lambda s: s == s[::-1]
print(is_palindrome("madam"))  # Output: True

Returns True if the string is a palindrome.

5. Find Factorial of a Number

Instead of using loops, get factorial using the math module.

math.factorial(5)

This returns 120, which is 5!

Example

import math
fact = math.factorial(5)
print(fact)  # Output: 120

6. Get Unique Elements from a List

Remove duplicates from a list quickly.

unique_items = list(set(my_list))

Using set() ensures that only unique elements remain.

Example

my_list = [1, 2, 2, 3, 4, 4, 5]
unique_items = list(set(my_list))
print(unique_items)  # Output: [1, 2, 3, 4, 5]

7. Find the Most Frequent Element in a List

Determine the most common element in a list.

max(set(my_list), key=my_list.count)

This finds the item that appears the most times in my_list.

Example

my_list = [1, 3, 2, 3, 4, 3, 5]
most_frequent = max(set(my_list), key=my_list.count)
print(most_frequent)  # Output: 3

8. Read a File in One Line

Read all lines from a file using a list comprehension.

[line.strip() for line in open("file.txt")]

Example

lines = [line.strip() for line in open("file.txt")]
print(lines)

This creates a list of stripped lines from the file.

9. Check if a Number is Even

Use a lambda function to check if a number is even.

lambda x: x % 2 == 0

Example

is_even = lambda x: x % 2 == 0
print(is_even(4))  # Output: True

Returns True if x is even, False otherwise.

10. Flatten a Nested List

Convert a nested list into a single list.

[item for sublist in nested_list for item in sublist]

Example

nested_list = [[1, 2, 3], [4, 5], [6]]
flat_list = [item for sublist in nested_list for item in sublist]
print(flat_list)  # Output: [1, 2, 3, 4, 5, 6]

This eliminates the need for nested loops.

11. Transpose a Matrix

Switch rows and columns in a matrix.

list(zip(*matrix))

Example

matrix = [[1, 2, 3], [4, 5, 6]]
transposed = list(zip(*matrix))
print(transposed)  # Output: [(1, 4), (2, 5), (3, 6)]

A quick way to transpose a 2D list.

12. Get the Index of the Maximum Element in a List

Find the index of the largest element.

my_list.index(max(my_list))

Example

my_list = [1, 3, 7, 2]
max_index = my_list.index(max(my_list))
print(max_index)  # Output: 2

Returns the position of the highest value in the list.

13. Convert a List of Tuples to a Dictionary

dict(tuple_list)

Example

tuple_list = [("a", 1), ("b", 2), ("c", 3)]
my_dict = dict(tuple_list)
print(my_dict)  # Output: {'a': 1, 'b': 2, 'c': 3}

Converts a list of key-value pairs into a dictionary.

14. Find the Intersection of Two Lists

list(set(list1) & set(list2))

Example

list1 = [1, 2, 3, 4]
list2 = [3, 4, 5, 6]
intersection = list(set(list1) & set(list2))
print(intersection)  # Output: [3, 4]

Finds common elements between two lists.

15. Remove Falsy Values from a List

list(filter(bool, values))

Example

values = [0, 1, False, 2, '', 3, None]
filtered_values = list(filter(bool, values))
print(filtered_values)  # Output: [1, 2, 3]

Removes False, 0, None, and empty strings from a list.

16. Generate a List of Squares

[x**2 for x in range(1, 6)]

Example

squares = [x**2 for x in range(1, 6)]
print(squares)  # Output: [1, 4, 9, 16, 25]

Creates a list of squares of numbers from 1 to 5.

17. Find the Length of the Longest Word in a Sentence

max(len(word) for word in sentence.split())

Example

sentence = "Python is an amazing programming language"
longest_word_length = max(len(word) for word in sentence.split())
print(longest_word_length)  # Output: 11

Finds the longest word length.

18. Shuffle a List Randomly

random.shuffle(my_list)

Example

import random
my_list = [1, 2, 3, 4, 5]
random.shuffle(my_list)
print(my_list)

Shuffles the list randomly.

19. Generate a Random Password

''.join(random.choices(string.ascii_letters + string.digits, k=8))

Example

import string, random
password = ''.join(random.choices(string.ascii_letters + string.digits, k=8))
print(password)

Creates a random 8-character password.

20. Convert a String to Title Case

text.title()

Example

text = "hello world"
print(text.title())  # Output: Hello World

Converts a string to title case.

Conclusion

Mastering Python one-liners can help you write more efficient and elegant code. These 20 examples showcase Python’s powerful and concise syntax. Try incorporating them into your projects and see how they improve your coding efficiency!

Wanna know about best Python Libraries for AI, check these articles on Numpy, Pandas, TensorFlow, MatplotLib.

  

Online Python Compiler

Leave a Reply

Your email address will not be published. Required fields are marked *