Weird things you can, but probably shouldn't do in Python

Weird things you can, but probably shouldn't do in Python

Weird things you can, but probably shouldn't do in Python

Integers between -5 and 256 can have their values swapped.

I am at a loss when I consider where this would be useful. Nevertheless, did you know that in Python you can change what numbers fundamentally mean?

# Code squashed for
# the benefit of
# mobile readers
import ctypes

# change 100 to 99
               ctypes.c_int))[6] = 99

# change 98 to 101
                ctypes.c_int))[6] = 101

if 100 == 99:
    print('wait a minute')

if 98 > 100:
    print('Human sacrifice, '
          'dogs and cats living together, '
          'mass hysteria.')
wait a minute
Human sacrifice, dogs and cats living together, mass hysteria.

The reason this works is because in the Python interpreter creates an instance of all the numbers between -5 and 256 and stores them in an array. ctypes allows us to access this underlying array and shuffle things around.

BaseException will almost always be uncaught.

If you want to catch every possible exception in Python, you generally do it like this:

    raise Exception
except Exception:
    print('the day is saved.')

However, this practice can be considered un-pythonic:

When catching exceptions, mention specific exceptions whenever possible

PEP 8 also informs us

Derive exceptions from Exception rather than BaseException. Direct inheritance from BaseException is reserved for exceptions where catching them is almost always the wrong thing to do.

So, what happens when you use BaseException as opposed to Exception?

    raise BaseException
except Exception:
    print('this never happens.')
Traceback (most recent call last):
  File "", line 2, in <module>
    raise BaseException

This can be taken to the next logical step. If you inherit from BaseException, as opposed to Exception, you can retain this behavior.

class CatchMeIfYouCan(BaseException):

    raise CatchMeIfYouCan
except Exception:
    print('neither does this.')
Traceback (most recent call last):
  File "", line 5, in <module>
    raise CatchMeIfYouCan

In order to catch these, you simply must use a bare except clause.

    raise CatchMeIfYouCan
    print('this works')
this works

That isn't ideal though, as this will also catch SystemExit, so calls to sys.exit() will do nothing.

   print("I'm still here.")
I'm still here.

It's possible to read or even modify the contents of other modules programmatically.

This probably has no practical use, but can you guess what Rumpelstiltskin does?

import imp

def rumpelstiltskin():
    magic = ['W', 358, 19, 19, 1,
             74, 358, 77, 9, 358,
             13, 43, 26]
    data = imp.find_module('this')
    data = open(data[1],

    for fairy_dust in magic:
        if isinstance(fairy_dust, str):

It's a terrible way to print my name.



What I'm doing here is looking up the 'this', a Python easter egg. Importing 'this' prints The Zen of Python. (after it decodes it from rot13 that is)

import this
The Zen of Python, by Tim Peters

Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!

imp allows me to find the module location on the disk and I can read it like any other file. Can I edit it like any other file as well?

import imp

def pwnthon(content):

    module = imp.find_module('this')
    module = open(module[1], 'w')

    "He's not the Messiah
     - he's a very naughty boy")""")

Next I import this

import this
He's not the Messiah - he's a very naughty boy

Yes, I can. Although in my Windows 10 VM, I needed to run PyCharm as admin. Otherwise, I received a permission denied error. These changes are permanent, so this kind of monkey patching is a bad idea.


Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Basic Data Types in Python | Python Web Development For Beginners

In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.

How To Compare Tesla and Ford Company By Using Magic Methods in Python

Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc.. You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like __init__, __call__, __str__ etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).

Python Programming: A Beginner’s Guide

Python is an interpreted, high-level, powerful general-purpose programming language. You may ask, Python’s a snake right? and Why is this programming language named after it?

Hire Python Developers

Are you looking for experienced, reliable, and qualified Python developers? If yes, you have reached the right place. At **[]( "")**, our full-stack Python development services...

Python any: How to Check If Element is Iterable or Not

Python any() function returns True if any element of an iterable is True otherwise any() function returns False. The syntax is any().