Home > Backend Development > Python Tutorial > Python Sucks at For Loops – And That's Exactly Why We Love It

Python Sucks at For Loops – And That's Exactly Why We Love It

DDD
Release: 2025-01-12 08:07:41
Original
628 people have browsed it

Python Sucks at For Loops – And That’s Exactly Why We Love It

Python, the elegant cat in the programming language world: independent, sophisticated, and seemingly doesn’t need you until it really does. This quality is most vividly reflected in its for loop, which can make you feel like both a genius and an idiot in an instant.

It’s not that Python’s for loop is bad, it’s just that it’s too good at pretending to know better than you.

  1. The Zen of Python: "Do less, fool"

For loops in most programming languages ​​are intuitive. Want to count to 10? No problem, give you a bunch of boilerplate code to make you feel smart.

How to write in C language:

<code class="language-c">for (int i = 0; i < 10; i++) {
    printf("%d\n", i);
}</code>
Copy after login
Copy after login

Simple, predictable, and respectful of your IQ.

And Python says:

"Why go to the trouble of defining i, specifying a range, or doing basic arithmetic? I'll lay it all out in front of you so you can experience what it's like to be a fake programmer."

Python version:

<code class="language-python">for i in range(10):
    print(i)</code>
Copy after login
Copy after login

That’s it. No declarations, no braces, just "vibe". Python’s for loop is so simple that it feels a little wrong.


  1. Python is more than that: it wants you to do less

Suppose you have a list of fruits and want to print it out.

C language version (again, very respectful):

<code class="language-c">char* fruits[] = {"apple", "banana", "cherry"};
for (int i = 0; i < 3; i++) {
    printf("%s\n", fruits[i]);
}</code>
Copy after login
Copy after login

Python version:

<code class="language-python">fruits = ["apple", "banana", "cherry"]
for fruit in fruits:
    print(fruit)</code>
Copy after login
Copy after login

Did you notice anything? Python doesn't even bother to give you index. It just throws the entire element at you like a Frisbee and says, "Here, take care of it."

Do you want to show your ingenuity by manually indexing a list? What a shame. Python already knows what you want and feeds it to you directly.


  1. List comprehension: the terminator of for loop

Python's list comprehension is the grave of for loops.

Want to create a new list where every number is doubled? In any other language this would take 3 to 4 lines of code. Python easily demonstrates its one-line coding skills:

<code class="language-python">doubled = [x * 2 for x in range(10)]</code>
Copy after login
Copy after login

Not only is this efficient, it also makes you feel like you are writing code in some secret programming language that mere mortals will never understand. But the cost is: Your for loop now looks like a cryptic crossword puzzle.

Example:

<code class="language-python">results = [f"Employee-{i}" for i in range(10) if i % 2 == 0]</code>
Copy after login

Congratulations! You just wrote a line of code and two weeks later you don’t even know what it means.


  1. “Let’s destroy stuff for fun”

Python’s for loop also likes to betray you in subtle ways. This is a classic mistake:

Unexpected variable override

<code class="language-c">for (int i = 0; i < 10; i++) {
    printf("%d\n", i);
}</code>
Copy after login
Copy after login

Wait, what? Didn’t we replace everything with “pineapple”? No! Python is snickering in the corner because fruit is just a temporary variable. The actual list is not modified.

Meanwhile, JavaScript developers are chuckling to themselves because they know they can bring down entire production systems with variable scope issues.


  1. enumerate: The MVP we don’t deserve

Sometimes you need both an index and a value. Python could have made you use boring i like other languages. But it gives you enumerate(), which sounds more like a corporate term than a programming function.

<code class="language-python">for i in range(10):
    print(i)</code>
Copy after login
Copy after login

"enumerate". Really? Python, this is not a board meeting. Just relax.


  1. Python loop suddenly... stopped working

Want to modify a list while looping through it? Python will look at you blankly and say:

"You're overthinking."

Example:

<code class="language-c">char* fruits[] = {"apple", "banana", "cherry"};
for (int i = 0; i < 3; i++) {
    printf("%s\n", fruits[i]);
}</code>
Copy after login
Copy after login

There are now missing elements in the list because Python got lost along the way. If Python were a waiter, this would be the equivalent of clearing your table before you even finish your meal.


  1. An infinite loop that is not an infinite loop

Try writing a classic infinite loop in Python. You know, for fun. The following is how to write it in C language:

<code class="language-python">fruits = ["apple", "banana", "cherry"]
for fruit in fruits:
    print(fruit)</code>
Copy after login
Copy after login

The following is the Python version:

<code class="language-python">doubled = [x * 2 for x in range(10)]</code>
Copy after login
Copy after login

It does work, but it feels weird. Python doesn't even try to emulate a classic infinite loop. It's just an...infinite truth.


Conclusion: Python’s for loop is not bad - It’s just us who can’t do it

The truth is, Python’s for loop is not that bad. It’s just that we ourselves are spoiled. Python's loops are so intuitive, concise, and powerful that we forget the pain of manually tracking indexes or dealing with segfaults.

So, the next time you complain about Python’s for loops, remember this: Python is not terrible. It's just tired of holding your hand.

The above is the detailed content of Python Sucks at For Loops – And That's Exactly Why We Love It. For more information, please follow other related articles on the PHP Chinese website!

source:php.cn
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Popular Tutorials
More>
Latest Downloads
More>
Web Effects
Website Source Code
Website Materials
Front End Template