Connor Mills

Connor Mills


New features planned for Python 4.0

New features planned for Python 4.0. All new libraries and standard lib modules must include the phrase “for humans” somewhere in their title.

With the release of Python 3.8 coming soon, the core development team has asked me to summarize our latest discussions on the new features planned for Python 4.0, codename “ouroboros: the snake will eat itself”. This will be an exciting release and a significant milestone, many thanks to the hard work of over 100 contributors.

  • After heated debate on the mailing list, the 79-character line limit prescribed by PEP8 will be updated. IDE users all over the world will now be able to take advantage of their 30" ultra-wide 4K monitors, as the recommended line length will be increased to 89.5 characters (this was a compromise with the 100-character lobby, the decision being to split the difference).
  • All new libraries and standard lib modules must include the phrase “for humans” somewhere in their title.
  • Finally, a new string-type for the masses, Python 4.0 will feature “z-strings”: C-style NULL terminated bytestrings. Just prefix your string like so, z'my string' and Python will automatically ensure it is NULL-terminated. Note: the new z-strings cannot be used with any of the existing APIs that take string arguments - they must first be decoded to unicode strings or cast to bytes.
  • Type-hinting has been extended to provide even fewer tangible benefits. This new and “nerfed” type hinting will be called type whispering.
  • Fuck it we’re going to just vendor libuv to provide the event loop for Twisted asyncio.
  • You can now use the async keyword before every single other keyword in the Python language, and we encourage you to async do so. There’s nothing wrong with cargo-culting some magic keywords all over the place – you want to go fast, don’t you?
  • In addition to namedtuple and dataclasses (3.7), Python 4.0 will include several new thousand line decorator-hacks to implement simple struct types.
  • The GIL has been removed.
  • Just kidding! Instead we’ve been focusing all our effort on making it easier to juggle multiple interpreter data-structures within a single thread. No, no, you can thank us later!
  • The bytes-vs-str thing kept many of us employed as we had convinced our companies they needed to upgrade to Python 3. In the same spirit, we are excited to announce that there will now be two int types – int will be a 32-bit signed integer, and long will be a 64-bit signed integer. But before you say, “hey, they did that in Python 2!”, we’d like to add that you can no longer use int anywhere, and will need to convert them all to long.
  • Based on the overwhelming success of the 2to3 utility, we plan to release a 3to4 tool that will automatically convert your code to utilize these exciting new features.

With much sadness, the following features did not make the cut:

  • After attempting to rewrite portions of the interpreter with Rust, nobody could figure out how to disable the borrow-checker, so we gave up.
  • No switch statement (and yes, yes, I know you can use a dict to do dispatching).
  • concurrent.Pasts and concurrent.Present will not be merged in time for this release, but hey, we’ve got futures, haven’t we?
  • Since nobody understands how twisted asyncio works, we are unable to offer any improvements at this time. The PSF now recommends all new projects to use gevent.
  • Unfortunately we will not be able to offer any improvements to the packaging “situation”.

We look forward to this release, and will do everything in our power to ensure it takes us several minor versions before it is even remotely usable.

Take heart! Remember the python motto:

What is dead can never die

Don’t worry, all these snakes were already on death row.

#python #django

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New features planned for Python 4.0
Ray  Patel

Ray Patel


top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Ray  Patel

Ray Patel


Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Art  Lind

Art Lind


Python Tricks Every Developer Should Know

Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?

In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.

Let’s get started

Swapping value in Python

Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead

>>> FirstName = "kalebu"
>>> LastName = "Jordan"
>>> FirstName, LastName = LastName, FirstName 
>>> print(FirstName, LastName)
('Jordan', 'kalebu')

#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development

Art  Lind

Art Lind


How to Remove all Duplicate Files on your Drive via Python

Today you’re going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates.


In many situations you may find yourself having duplicates files on your disk and but when it comes to tracking and checking them manually it can tedious.

Heres a solution

Instead of tracking throughout your disk to see if there is a duplicate, you can automate the process using coding, by writing a program to recursively track through the disk and remove all the found duplicates and that’s what this article is about.

But How do we do it?

If we were to read the whole file and then compare it to the rest of the files recursively through the given directory it will take a very long time, then how do we do it?

The answer is hashing, with hashing can generate a given string of letters and numbers which act as the identity of a given file and if we find any other file with the same identity we gonna delete it.

There’s a variety of hashing algorithms out there such as

  • md5
  • sha1
  • sha224, sha256, sha384 and sha512

#python-programming #python-tutorials #learn-python #python-project #python3 #python #python-skills #python-tips

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).

Now there are a number of such special methods, which you might have come across too, in Python. We will just be taking an example of a few of them to understand how they work and how we can use them.

1. init

class AnyClass:
    def __init__():
        print("Init called on its own")
obj = AnyClass()

The first example is _init, _and as the name suggests, it is used for initializing objects. Init method is called on its own, ie. whenever an object is created for the class, the init method is called on its own.

The output of the above code will be given below. Note how we did not call the init method and it got invoked as we created an object for class AnyClass.

Init called on its own

2. add

Let’s move to some other example, add gives us the ability to access the built in syntax feature of the character +. Let’s see how,

class AnyClass:
    def __init__(self, var):
        self.some_var = var
    def __add__(self, other_obj):
        print("Calling the add method")
        return self.some_var + other_obj.some_var
obj1 = AnyClass(5)
obj2 = AnyClass(6)
obj1 + obj2

#python3 #python #python-programming #python-web-development #python-tutorials #python-top-story #python-tips #learn-python