Improve speed of stdlib functions by replacing `re` uses

We can often find the module re in the standard library modules but it can be replaced (if it is possible). I don't suggest removing it everywhere, there are places where its use is appropriate, but there are also places where it is an unnecessary solution and leads to unpleasant consequences (they can be found below)

Cons of regular expressions and reasons to replace regular expressions with functions and methods:

1. We spend time to compile re pattern (one time, but anyway we spend it)
2. In most cases simple string methods are faster (according to my benchmarks about 2x)
3. We can remove import re which will affect import time
4. Additionally: I think for those who don't know regular expressions, the code is more difficult to read and therefore difficult to maintain.

[!IMPORTANT]
For those who want to work on the issue, please:

• Read https://devguide.python.org/getting-started/pull-request-lifecycle/ before anything else.
• Select one function to improve. It's easier to review and possibly backport.
• Always report benchmarks using pyperf, hyperfine, and tuna together with -X importtime to compare import times and execution time.
• Open a pull request with the following title: gh-130167: Improve speed of `module.function` by replacing `re`

Linked PRs

• gh-130170
• gh-130242
• gh-130243
• gh-131919
• gh-131925
• gh-131924
• gh-132065
• gh-132666
• gh-143292

Read the pull-request lifecycle guide first, then inspect standard-library modules that import re and select one function to improve. Compare the existing implementation with string methods using pyperf, hyperfine, and tuna with -X importtime. Done means one function has benchmark evidence and a pull request using the requested title format.