### Python Contains Function Wildcard Usage In Python, there isn't a built-in `contains` function specifically designed for using wildcards directly within its parameters. However, similar functionality can be achieved through various methods depending on what kind of data structure or context one works with. For strings and lists, membership tests (`in`) serve as an equivalent operation without direct support for wildcards but combined with regular expressions provide powerful pattern matching capabilities[^4]. To use wildcards effectively in searching patterns inside strings, the `re` module offers extensive tools including functions like `search()`, which allows specifying complex search criteria via regex syntax: ```python import re text = "hello world" pattern = r"he.*o" match = re.search(pattern, text) if match: print("Pattern found:", match.group()) else: print("No matches") ``` This code snippet demonstrates how to apply wildcard-like behavior by utilizing regular expression patterns where `"."` stands for any single character while `"*"` means zero or more occurrences of the preceding element. When working with file paths or filenames, globbing provides another approach closer to traditional shell-style wildcards: ```python from pathlib import Path files = list(Path('.').glob('*.txt')) for f in files: print(f.name) ``` Here, `'*.txt'` acts similarly to Unix shells’ filename expansion rules allowing selection based on simple patterns ending with `.txt`.