Code Golfing: The Art of Writing Shortest Code
<p>Welcome to the world of “Code Golfing,” where programmers compete to achieve the shortest possible solution to a given problem.</p>
<p>Code golfing is not just about reducing the number of characters; it’s an art that demands creativity, cunning, and a deep understanding of the language’s quirks.</p>
<p>On my <a href="https://twitter.com/theskilledcoder" rel="noopener ugc nofollow" target="_blank"><strong>Twitter</strong></a> and <a href="https://www.instagram.com/theskilledcoder" rel="noopener ugc nofollow" target="_blank"><strong>Instagram</strong></a> accounts, I frequently share my programming journey and development experiences.</p>
<p>In this article, we will explore the techniques and tricks of code golfing in Python.</p>
<h2>Ternary Operators</h2>
<p>Utilize the ternary operator (conditional expression) to shorten simple if-else constructs. For example:</p>
<pre>
# Traditional if-else
result = x if condition else y
# Code golfing version
result = condition and x or y</pre>
<h2>Chaining Comparison Operators</h2>
<p>You can chain comparison operators to perform multiple comparisons in a single line. For example:</p>
<pre>
# Traditional comparison
if x > 10 and x < 20:
# Code golfing version
if 10 < x < 20:</pre>
<h2>List Comprehensions</h2>
<p>Use list comprehensions to generate lists succinctly without the need for explicit loops. For example:</p>
<pre>
# Traditional loop
squares = []
for x in range(10):
squares.append(x**2)
# Code golfing version
squares = [x**2 for x in range(10)]</pre>
<h2>Lambdas and map()</h2>
<p>Combine lambda functions with map() to apply a simple operation to all elements in a list</p>
<p><a href="https://python.plainenglish.io/code-golfing-the-art-of-writing-shortest-code-23b463105dda">Read More</a></p>