It's great for beginners. Then it turns into a mess.
- A huge ecosystem of good third-party libraries.
- Named arguments.
- Multiple inheritance.
- It's easy to learn and read. However, it's only easy to learn and read at the start. Once you get past "Hello world" Python can get really ugly and counterintuitive.
- The Pythonic philosophy that "There should be one -- and preferably only one -- obvious way to do it." As someone who loves working within rules and rigid frameworks, I love this philosophy! As someone who writes Python, I really wish Python actually stuck to this philosophy. See below.
- Forced indentation. Some love it because it enforces consistency and a degree of readability. Some hate it because they think it enforces the wrong consistency. To each their own.
- Dynamic typing. There are lots of dynamically-typed languages and lots of statically-typed languages. Which kind of typing is better isn't a Python debate, it's a general programming debate.
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400 ways (more or less) to interpolate strings. This prints "Hello Robin!" 3 times:
user = {'name': "Robin"} print(f"Hello {user['name']}!") print("Hello {name}!".format(**user)) print("Hello %(name)s!" % user)If there was a unique and obvious use-case for each of these then that would be one thing, but there's not.
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69 top-level functions that you have to just memorize. GvR's explanation sounds nice, but in reality it makes things confusing.
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mapdoesn't return a list, even though the whole point of a mapping function is to create one list from another. Instead it returns amapobject, which is pretty much useless since it's missingappend,reverse, etc. So, you always have to wrap it inlist(), or use a list comprehension, which, speaking of... -
List comprehensions are held up as an excellent recent-ish addition to Python. People say they're readable. That's true for simple examples (e.g.
[x**2 for x in range(10)]) but horribly untrue for slightly more complex examples (e.g.[[row[i] for row in matrix] for i in range(4)]). I chalk this up to... -
Weird ordering in ternary/one-line expressions. Most languages follow a consistent order where first you declare conditions, then you do stuff based the on those conditions:
if user.isSignedIn then user.greet else errorfor user in signedInUsers do user.greetPython does this in the opposite order:
user.greet if user.isSignedIn else error[user.greet for user in signedInUsers]This is fine for simple examples. It's bad for more complex logic because you have to first find the middle of the expression before you can really understand what you're reading.
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Syntax for tuples. If you write a single-item tuple
(tuple,)but forget the trailing comma, it's no longer a tuple but an expression. This is a really easy mistake to make. Considering the only difference between tuples and lists is mutability, it would make much more sense to use the same syntax[syntax]as lists, which does not require a trailing comma, and add afreezeorimmutablemethod. Speaking of... -
There's no way to make
dicts or complex objects immutable. -
Regular expressions require a lot of boilerplate:
re.compile(r"regex", re.I | re.M)Compared to JavaScript or Ruby:
/regex/ig -
The goofy string literal syntaxes:
f'',u'',b'',r''. -
The many "magic" __double-underscore__ attributes that you just have to memorize.
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You can't reliably catch all errors and their messages in one statement. Instead you have to use something like
sys.exc_info()[0]. You shouldn't have a catch-all in production of course, but in development it's very useful, so this unintuitive extra step is annoying. -
Dev environments. Setting up an environment is a problem in any langauge, but other languages have solved the problem better than Python. For example, while
npmhas its warts, it is widely accepted that a fresh environment should be set up withnpm i && npm run [script]. Meanwhile each Python project seems to require a unique mish-mash ofpipandpipenvandvenvand other shell commands.
Most programmers will acknowledge criticisms of their favorite language. Instead, Pythonists will say, "You just don't understand Python."
Most programmers will say a piece of code is bad if it's inefficient or hard to read. Pythonists will say a piece of code is bad if "it isn't Pythonic enough." This is about as helpful as someone saying your taste in music is bad because "it isn't cultured enough."
Pythonists have a bit of a superiority complex.
This thread is whole LOL. LMAO
My sis (3rd year in graduation) having a code test for an interview and asked for help...
Her classmates selected python to do the code and so is she.
As there is lot of hype being in, So... I too thought of giving a try and learn.
Also, have been planning to learn never got a reason.
As soon as I begin, I baffled with indentation as syntax and then for scope.
Just imagining consequences of overlooking the indentation while copying code or something
that gonna create a hell of mess and security constrains.
Just by going through the concepts. I didn't understand reason the hype is like it's best for everypurpose.
Thought that am I only the one? luckily this thread save me.
Then with intro of new forms of unnecessary things, methods and dependencies.
I amazed, how it survived with out buzz of it's ridiculousness.
I like to create things of my own, rather than falling much on dependencies.
For me programming is that being independent.
For prototyping, yes. It is quick and easy for small blocks of code to Test.
Till there it's fine, if goes further more will be a pain in the ass.
My view is like, it will only be ok for DataScience and where in need of minimal code like testing algorithms.
Where the people don't need to have much need to understand primitives and their reasons.
Except only to just get work done.
Apart from that don't see much of a use. Except to create more confusion and a push towards wilderness for learning python.
A little LOL : https://www.youtube.com/shorts/lqjeojLHQyk
Have Fun Programming... :-)