What is the difference between str and repr in Python?
str is used to represent a string in a more readable format, while
repr is used to represent a string in an unambiguous and official format. The main difference between the two is that
str is meant to be more user-friendly, while
repr is meant to be more machine-friendly.
For example, consider the following code:
s = 'Hello, world!' print(str(s)) print(repr(s))
This will output the following:
Hello, world! 'Hello, world!'
As you can see, the output of
str(s) is more readable, while the output of
repr(s) includes quotes around the string to make it clear that it is a string.
In general, you should use
str when you want to display a string to the user, and
repr when you want to represent a string in a way that can be used to recreate the original object, such as in a debugger or when logging the state of an object.
What are metaclasses in Python?
In Python, a metaclass is the class of a class. It defines how a class behaves, including how it is created and how it manages its instances. A metaclass is defined by inheriting from the built-in ...Questions
How to use the ternary conditional operator in Python?
The ternary conditional operator is a shortcut when writing simple conditional statements. If the condition is short and both true and false branches are short too, there is no need to use a multi-...Questions
What does the "yield" keyword do in Python?
To better understand what yield does, you need first to understand what generator and iterable are. What is iterable When you use a list or list-like structure, you can read the values from the lis...Questions
What Does if name == "main" do in Python?
The if __name__ == "main" is a guarding block that is used to contain the code that should only run went the file in which this block is defined is run as a script. What it means is that if you run...Questions
We are hiring.
Software is our way of making the world a tiny bit better. We build tools for the makers of tomorrow.
Help us in making the internet more reliable.
Help us with developer education and get paid.
Reliability is the
Delightful observability tools that turn your logs & monitoring into a secret weapon for shipping better software faster.Explore Better Stack