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Use a glob when you need to select files or paths with simple wildcard rules; use a regular expression (regex) when you need to describe a more complex pattern in text. They overlap on basic matches, but they are different syntaxes with different rules. In both cases, the program interpreting the pattern determines what it means.
Glob vs. regex at a glance
| Question | Glob | Regex |
|---|---|---|
| What is it usually for? | Selecting filenames or paths with wildcard rules. | Matching or searching for patterns in text. |
What does * commonly mean? |
Match a variable sequence of characters in a filename or path segment; exact separator behavior depends on the tool. | Match a variable number of repetitions of the preceding expression, subject to the regex engine’s rules. |
What does ? commonly mean? |
Match one character in common glob syntax. | In many regex engines, match one character, though details such as newline matching depend on the engine and settings. |
| Does it inherently understand paths? | Often, yes: pathname-aware tools define how separators and path segments behave. | Usually it matches a string. A path separator is just a character unless the host API adds path-specific behavior. |
| How portable is it? | Rules vary among shells, programming-language libraries, and configuration formats. | Rules vary among regex engines and host languages, including how patterns are escaped in source code. |
These are practical distinctions, not universal laws for every implementation. Python’s glob module, Git ignore files, and Python Packaging Authority (PyPA) patterns each define their own behavior. Choose based on the operation and its documented syntax, not on the symbol alone.
What a glob pattern does
A glob is a compact wildcard notation, most often used to select file or path names. Python’s documentation describes the glob module as finding pathnames using pattern-matching rules similar to the Unix shell. Its common syntax includes * for a sequence of characters, ? for one character, and square brackets for a character set or range.
Simple patterns
*.gifselects names ending in.gifin the directory being searched. In Python’sglobmodule, a plain*pattern does not search nested directories by itself.report-?.csvcan match names such asreport-1.csv, where?stands for one character.image[0-9].pnguses a bracket expression to match a digit in the indicated position. Consult the target tool’s documentation for its exact bracket-expression rules.
Paths, recursion, and hidden names
Path separators are a major difference between pathname globbing and general text matching. In Python’s glob module, ordinary wildcard segments do not cross directory separators. The special ** pattern can represent zero or more path segments when recursive matching is enabled, for example with recursive=True. That behavior should not be assumed in every shell or configuration file.
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Hidden-file handling is another implementation detail. Python’s glob omits names beginning with a dot by default unless the pattern itself starts with a dot; its API also offers an include_hidden option. If hidden files matter, check both the pattern and the API settings rather than assuming * includes everything.
What a regular expression does
A regex describes a pattern to find in text. It can express simple alternatives and character classes, but also combinations of requirements that would be awkward as filename wildcards. Regex syntax is not one single universal standard: operators, flags, and escaping rules depend on the engine and the language or application that uses it.
Why regex is more expressive
For instance, an expression can describe text that begins with a prefix, contains one of several alternatives, and ends with a required suffix. It can also constrain repetition and grouping. That flexibility is useful when validating or extracting structured text, but makes a regex harder to read and easier to get wrong than a short glob when the task is simply selecting files by extension.
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Do not read a familiar symbol as having universal meaning. In a glob, * commonly means a variable sequence of filename characters; in regex, it is commonly a repetition operator applied to the preceding expression. An isolated regex * is generally not a substitute for a glob *. The pattern’s consumer supplies the context.
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How to choose for file matching
- Identify the target operation. If a shell, library, editor, or configuration format asks for a file pattern, start with its documented glob-like syntax. If the task is searching or validating arbitrary text, use the regex engine the application exposes.
- Check path semantics. Determine whether wildcards cross directory separators, whether recursive matching is supported, and whether a special option is required to enable it.
- Check edge cases. Confirm how the tool treats hidden files, character ranges, case sensitivity, and unmatched patterns. Those details can change the result even if the pattern looks familiar.
- Test against representative names. Include a direct match, a near miss, a nested path, and a hidden name if those cases matter. Testing helps catch assumptions about the destination dialect before using the pattern in a script or build rule.
- Use regex only for added expressive power. If a glob cleanly states the file-selection rule, it is usually easier for another person to scan. Reach for regex when the requirement genuinely needs more complex text matching.
Python examples: glob and regex side by side
This runnable Python example uses globbing to enumerate matching paths and a regular expression to filter filenames by a text rule. It illustrates the distinct jobs: glob performs pathname expansion, while re matches a string. Save it as match_files.py and run python match_files.py from a directory containing a reports folder.
from glob import glob
import re
# Glob: enumerate .csv paths in reports and its subdirectories.
paths = glob("reports/**/*.csv", recursive=True)
# Regex: retain files whose basename is a year followed by -summary.csv.
name_rule = re.compile(r"d{4}-summary.csv$")
matches = [path for path in paths if name_rule.search(path.rsplit("/", 1)[-1])]
for path in sorted(matches):
print(path)
The glob step determines which paths are candidates; the regex step checks each basename. The example uses forward slashes in its basename split, so for cross-platform production code, use Python’s path utilities to obtain the basename rather than treating a path as slash-separated text. The patterns shown are Python patterns; do not assume the same glob behavior in a different tool.
Why the two patterns are not interchangeable
reports/**/*.csv is a pathname pattern interpreted by Python’s glob API, and the explicit recursive=True enables its recursive ** behavior. The regex d{4}-summary.csv$ is interpreted by Python’s re engine. It requires four digits, a literal hyphen, the word summary, a literal period, and csv at the end of the string. In a Python raw string, the backslashes reach the regex engine without needing to be doubled for Python’s string-literal parser.
Test small patterns before expanding them
If the output is empty, first inspect the paths returned by glob without the regex filter. If paths appear but none survive, check whether the basename rule matches your actual filenames. Also check the starting directory: relative glob patterns are evaluated relative to the process’s current working directory, not automatically relative to the script’s location.
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“Glob” names a family of related wildcard syntaxes, not a promise of identical behavior. A shell, Python library, build tool, and ignore file can all accept patterns that look similar while differing on separators, recursion, hidden names, and special characters.
Git ignore patterns
.gitignore is a specialized glob-like format. Git gives meaning to !, /, and certain placements of **; in this context, * and ? do not match slash characters. For example, foo/* matches immediate entries under foo, but does not reach a deeper path such as foo/bar/file. Git documents specific recursive meanings for ** in particular positions. A pattern copied from Python or a shell may therefore ignore more—or less—than intended.
PyPA packaging patterns
The PyPA packaging specification defines patterns for its own use case. It treats those patterns as relative paths and requires forward slashes. This is a useful reminder that a tool may accept glob-like syntax but impose additional rules about path form and scope. The specification for the consuming tool is authoritative.
Portability checklist
- Confirm which program parses the pattern; a shell may expand it before the program ever sees it.
- Check whether
**is supported and whether recursion must be enabled. - Check whether separators are special and whether the pattern is relative to a particular directory.
- Check dotfile behavior, case sensitivity, and whether the implementation supports the bracket syntax you plan to use.
- For regex, identify the engine and host-language string rules, then verify flags and escaping in that environment.
Common mistakes and fixes
- Using glob
*as if it meant regex repetition. The same glyph has different syntax-level roles. Use the glob accepted by the file-selection API, or write a valid regex for the engine that is doing text matching. - Expecting a wildcard to cross directories. Path-aware glob implementations often keep ordinary wildcards within a segment. Use documented recursive syntax and settings, or select paths segment by segment.
- Missing dot-prefixed files. Check the implementation’s hidden-file defaults. In Python glob, the default excludes them unless the pattern starts with a dot; the API also has an
include_hiddensetting. - Copying a pattern into
.gitignoreunchanged. Git has its own separator, negation, and**rules. Rewrite the pattern using Git’s documentation rather than assuming another tool’s dialect applies. - Getting no regex matches after glob produced paths. Inspect the candidate strings, basename extraction, anchors, escaping, and case assumptions separately. The path-selection stage and text-matching stage can fail independently.
- Getting different results on another machine. Verify the exact application or library and its version, current directory, platform path conventions, and pattern dialect. A familiar pattern is not enough to guarantee portability.
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Sources and scope
The examples and distinctions above reflect the documented behavior described in the Python Software Foundation’s Python 3.16.0a0 glob documentation (page updated 2026-09-18), the living PyPA packaging specification’s “glob patterns” page (updated 2026-09-22), and the Git 2.55.0 gitignore manual. The specific patterns and options are tied to those documented contexts; other tools may define different rules.
Frequently Asked Questions
Can a glob be converted to a regex?
Some libraries provide a translation function. Python’s glob module documents translation from pathname glob syntax to a regular expression, while retaining glob as the input syntax and pathname rules. A converted expression is not necessarily suitable for an unrelated regex engine or a different glob dialect.
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Learn the syntax required by the tool you are using. For routine file selection, that is often its glob-like syntax; for text search or structured text constraints, it is the regex engine the application exposes.
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