• Validate that strings match specific patterns using regular expressions.
• Search for strings that match specific patterns using regular expressions.

• Regular Expression: a sequence of characters used to search for a pattern inside of a string.
• Pattern: a description of sequences of characters that share certain traits with one another. Sequences do not need to be the same length or share any common characters to pattern match. Also called a filter.

This is a test-driven lab. Run pipenv install to create your virtual environment and pipenv shell to enter the virtual environment. Then run pytest -x to run your tests. Use these instructions and pytest's error messages to complete your work in regex.py in the lib folder.

This lab is meant to give you experience with writing patterns for regular expressions and using the re module to check your pattern against different strings. Use regex101 to test your pattern as you work through the different strings.

• Run pytest -x to execute the first test. This will check your RegEx against the string "It's such a lovely day today."
• Once you've compiled a regular expression that matches this first string, run pytest -x again to check against the next string in line.
• Your RegEx should match all of the strings in the test file!
• The last test uses the findall() method to search for these three strings in a list. You can check for this list in testing/regex_test.py.
  • If you hacked your way through the first three with r".*", you'll get caught here!

Once all of your tests are passing, commit and push your work using git to submit.

• re - Regular expression operations - Python
• regex101
• Python Regular Expressions - Google for Education