One of the features of Python 3.6 are formatted strings.
This SO question(String with 'f' prefix in python-3.6) is asking about the internals of formatted string literals, but I don't understand the exact use case of formatted string literals. In which situations should I use this feature? Isn't explicit better than implicit?
Formatted string literals (also called f-strings for short) let you include the value of Python expressions inside a string by prefixing the string with f or F and writing expressions as {expression} .
Python 3.6 introduced a new way to format strings: f-Strings. It is faster than other string formatting methods in Python, and they allow us to evaluate Python expressions inside a string.
Well, f-strings are only available since Python 3.6.
String formatting is also known as String interpolation. It is the process of inserting a custom string or variable in predefined text.
Simple is better than complex.
So here we have formatted string. It gives the simplicity to the string formatting, while keeping the code explicit (comprared to other string formatting mechanisms).
title = 'Mr.'
name = 'Tom'
count = 3
# This is explicit but complex
print('Hello {title} {name}! You have {count} messages.'.format(title=title, name=name, count=count))
# This is simple but implicit
print('Hello %s %s! You have %d messages.' % (title, name, count))
# This is both explicit and simple. PERFECT!
print(f'Hello {title} {name}! You have {count} messages.')
It is designed to replace str.format
for simple string formatting.
Pro: F-literal has better performance.(See below)
Con: F-literal is a new 3.6 feature.
In [1]: title = 'Mr.'
...: name = 'Tom'
...: count = 3
...:
...:
In [2]: %timeit 'Hello {title} {name}! You have {count} messages.'.format(title=title, name=name, count=count)
330 ns ± 1.08 ns per loop (mean ± std. dev. of 7 runs, 1000000 loops each)
In [3]: %timeit 'Hello %s %s! You have %d messages.'%(title, name, count)
417 ns ± 1.76 ns per loop (mean ± std. dev. of 7 runs, 1000000 loops each)
In [4]: %timeit f'Hello {title} {name}! You have {count} messages.'
13 ns ± 0.0163 ns per loop (mean ± std. dev. of 7 runs, 100000000 loops each)
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