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.
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
asynckeyword 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?
dataclasses(3.7), Python 4.0 will include several new thousand line decorator-hacks to implement simple struct types.
strthing 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
intwill be a 32-bit signed integer, and
longwill 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
intanywhere, and will need to convert them all to
2to3utility, we plan to release a
3to4tool that will automatically convert your code to utilize these exciting new features.
With much sadness, the following features did not make the cut:
switchstatement (and yes, yes, I know you can use a
dictto do dispatching).
concurrent.Presentwill not be merged in time for this release, but hey, we’ve got futures, haven’t we?
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.
Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.
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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:
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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.
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')
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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
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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.
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
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
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