If you are using Python 3.6+ you can make use of the new so called f-strings which stands for formatted strings and it can be used by adding the character f at the beginning of a string to identify this as an f-string.
price = 123
name = "Jerry"
print(f"{name}!!, {price} is much, isn't {price} a lot? {name}!")
>Jerry!!, 123 is much, isn't 123 a lot? Jerry!
The main benefits of using f-strings is that they are more readable, can be faster, and offer better performance:
Source Pandas for Everyone: Python Data Analysis, By Daniel Y. Chen
Benchmarks
No doubt that the new f-strings are more readable, as you don't have to remap the strings, but is it faster though as stated in the aformentioned quote?
price = 123
name = "Jerry"
def new():
x = f"{name}!!, {price} is much, isn't {price} a lot? {name}!"
def old():
x = "{1}!!, {0} is much, isn't {0} a lot? {1}!".format(price, name)
import timeit
print(timeit.timeit('new()', setup='from __main__ import new', number=10**7))
print(timeit.timeit('old()', setup='from __main__ import old', number=10**7))
> 3.8741058271543776 #new
> 5.861819514350163 #old
Running 10 Million test's it seems that the new f-strings are actually faster in mapping.