This post focuses on the process of moving, not the code changes. Because it's the process that is the hard part. How do you get your code in a state where it's ready to move? How do you get the whole team on the boat to Python 3?
Next year Python 2 is no longer maintained. But you have a monster code base with clever tricks and libraries that don't support Python 2, and your data may be stored in a format that is hard to move Python 3. And that's the easy bit.
All Python 3 talks I have seen, including those I have given, and all the texts on how to port, including the book I wrote, focus on the code changes. With increasing backwards compatibility in Python 3 and forward-compatibility in Python 2, this actually became a lesser problem for big code bases.
The extra issues of large, old code bases
Can you stop adding features? (1 min) Separate team vs getting everyone on it (2 min) Python 2 compatibility: You need it (1 min)
Fix your development process (2 min) Replace old libraries, or take over maintenance and port them (2 min) Make sure your tests are solid (1 min) Run 2to3 but only backwards compatible fixers (2 min) Run tests on Python 3 to stop backsliding (4 min)
Run all tests: Expansive or slow Store passed tests Detect tests that change Turning it off adds a lot of extra work
Port all your little utilities and tool scripts (1 min) Fix fix fix fix (1 min) Add tests with Python 2 data, to test migration (2 min)
You might need migration scripts
Extra careful staging tests (1 min) Production: Try, fail, repeat (1 min) Clean the code up (3 min)
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.
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 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?
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Python any() function returns True if any element of an iterable is True otherwise any() function returns False. The syntax is any().