{"id":882,"date":"2022-10-30T17:05:00","date_gmt":"2022-10-30T11:35:00","guid":{"rendered":"https:\/\/geekpython.in\/?p=882"},"modified":"2023-08-15T16:02:11","modified_gmt":"2023-08-15T10:32:11","slug":"one-liners-in-python","status":"publish","type":"post","link":"https:\/\/geekpython.in\/one-liners-in-python","title":{"rendered":"Python One-Liners To Enhance Code Quality"},"content":{"rendered":"\n

Python is known for its simplicity and readability. Python provides flexibility to write complex code straightforwardly, and writing code in Python is like writing the English language.<\/p>\n\n\n\n

Python is popular because of its self-explanatory syntax and power to restrict long programs to a few lines. One-liners are one of the powers Python has, allowing users to write a single-line code that runs multiple tasks simultaneously.<\/p>\n\n\n\n

This article will show some one-line Python programs that help us in everyday programming, enhance productivity, and speed up our coding process.<\/p>\n\n\n\n

<\/a>List Comprehension<\/h1>\n\n\n\n

We can use list comprehension for writing a multiline set of Python statements in a single line. We can write the for<\/code> loop with an if-else<\/code> condition in a single line instead of writing in multiple lines.<\/p>\n\n\n\n

seq = [\"Volkswagen\", \"Audi\", \"Porsche\", \"Jaguar\"]\n\nfor cars in seq:\n    if \"a\" in cars:\n        print(cars)\n    else:\n        print(f\"No match found in {cars}\")<\/pre><\/div>\n\n\n\n
We can wrap the above code in a single line using list comprehension.<\/p>\n\n\n\n
output = [cars if \"a\" in cars else f\"No match found in {cars}\" for cars in seq]<\/pre><\/div>\n\n\n\n
<\/a>Lambda Function<\/h1>\n\n\n\n
The Lambda function is also known as the anonymous function. We can define an anonymous function using a lambda<\/code> keyword and then provide an expression.<\/p>\n\n\n\n
num_cube = lambda num: num * num * num\nprint(num_cube(3))<\/pre><\/div>\n\n\n\n
<\/a>Creating an array from random numbers<\/h1>\n\n\n\n
An array is a collection of elements of the same data types stored in contiguous memory locations with assigned index values that help locate them.<\/p>\n\n\n\n
import numpy as np\n\nnp.random.randint(16, size=(2, 3, 2))<\/pre><\/div>\n\n\n\n
The above code generates a 3D array of shapes (2, 3, 2)<\/code> from random numbers between 0<\/strong> and 16<\/strong>.<\/p>\n\n\n\n
<\/a>Using walrus operator<\/h1>\n\n\n\n
This operator is used to assign values to the variables within an expression. It is an assignment operator represented by the sign :=<\/code>. This feature was added in Python version 3.8.<\/p>\n\n\n\n
We have a Python program that takes the input from the user, if that input is 7, it will print something, if not, it will return nothing.<\/p>\n\n\n\n
inp = input(\"Enter the number: \")\n\nwhile inp == \"7\":\n    print(\"You found it\")\n    break<\/pre><\/div>\n\n\n\n
The above code can be written in a single line.<\/p>\n\n\n\n
while (number := input(\"Enter the number: \")) == \"7\": print(f\"The hidden number {number} found.\")<\/pre><\/div>\n\n\n\n
<\/a>Generating random numbers<\/h1>\n\n\n\n
The most common way of generating random numbers is by using a library called random<\/code>.<\/p>\n\n\n\n
import random\nrandom.sample(range(1, 99), 10)<\/pre><\/div>\n\n\n\n
This code will generate a list of 10<\/strong> random numbers between 1<\/strong> and 99<\/strong>.<\/p>\n\n\n\n
<\/a>Substitute any pattern<\/h1>\n\n\n\n
We can use the RegEx<\/strong> (Regular Expression) to substitute any pattern. Let’s say we have text data in which we have to substitute letters starting and ending from *<\/code> (asterisk).<\/p>\n\n\n\n
text = \"The *big* data got bigger and bigger. It is called *big* data because of having *big* data\"<\/code><\/p>\n\n\n\n
The code to substitute the above pattern.<\/p>\n\n\n\n
import re\nre.sub('\\*(.*?)\\*', \"small\", text)<\/pre><\/div>\n\n\n\n
The pattern \\*(.*?)\\*<\/code> matches the characters starting and ending with *<\/code>, and it has a group capture that captures the text between *<\/code>.<\/p>\n\n\n\n
<\/a>Remove duplicates<\/h1>\n\n\n\n
To remove the duplicate values from the Python list<\/em><\/strong>, convert that list to the set<\/code>. Consider the following example to understand it better.<\/p>\n\n\n\n
lst = [2, 3, 2, 3, 44, 3, 2, 45, 44]\n\nnew_lst = set(lst)\n\n....\n{2, 3, 44, 45}<\/pre><\/div>\n\n\n\n
All the duplicate values were removed because the set<\/em><\/strong> doesn’t allow identical values.<\/p>\n\n\n\n
<\/a>Replacing a word<\/h1>\n\n\n\n
When working on textual data in Python, the replace()<\/code> method can come in handy to replace a particular text with a text of your choice.<\/p>\n\n\n\n
text = \u201cThe big data got bigger and bigger. It is called big data because of having big data\u201d<\/code><\/p>\n\n\n\n
new_text = text.replace(\"data\", \"dataset\")\nprint(new_text)<\/pre><\/div>\n\n\n\n
The above code will replace the word data<\/code> with dataset<\/code>.<\/p>\n\n\n\n
<\/a>Multiple inputs simultaneously<\/h1>\n\n\n\n
If you are working on a project that wants to take multiple user inputs simultaneously, the following one-liner will come in handy.<\/p>\n\n\n\n
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Take Multiple Inputs From The User In A Single Line Of Python Code<\/a><\/blockquote>