Clean Names
N1: Choose Descriptive Names
Names should reveal intent. If a name requires a comment, it doesn't reveal its intent.
python# Bad - what is d? d = 86400 # Good - obvious meaning SECONDS_PER_DAY = 86400 # Bad - what does this function do? def proc(lst): return [x for x in lst if x > 0] # Good - intent is clear def filter_positive_numbers(numbers): return [n for n in numbers if n > 0]
N2: Choose Names at the Appropriate Level of Abstraction
Don't pick names that communicate implementation; choose names that reflect the level of abstraction of the class or function.
python# Bad - too implementation-specific def get_dict_of_user_ids_to_names(): ... # Good - abstracts the data structure def get_user_directory(): ...
N3: Use Standard Nomenclature Where Possible
Use terms from the domain, design patterns, or well-known conventions.
python# Good - uses pattern name class UserFactory: def create(self, data): ... # Good - uses domain term def calculate_amortization(principal, rate, term): ...
N4: Unambiguous Names
Choose names that make the workings of a function or variable unambiguous.
python# Bad - ambiguous def rename(old, new): ... # Good - clear what's being renamed def rename_file(old_path: Path, new_path: Path): ...
N5: Use Longer Names for Longer Scopes
Short names are fine for tiny scopes. Longer scopes need longer, more descriptive names.
python# Good - short name for tiny scope total = sum(x for x in numbers) # Good - longer name for module-level constant MAX_RETRY_ATTEMPTS_BEFORE_FAILURE = 5 # Bad - short name at module level MAX = 5
N6: Avoid Encodings
Don't encode type or scope information into names. Modern editors make this unnecessary.
python# Bad - Hungarian notation str_name = "Alice" lst_users = [] i_count = 0 # Good - clean names name = "Alice" users = [] count = 0 # Bad - interface prefix class IUserRepository: ... # Good - just name it class UserRepository: ...
N7: Names Should Describe Side Effects
If a function does something beyond what its name suggests, the name is misleading.
python# Bad - name doesn't mention file creation def get_config(): if not config_path.exists(): config_path.write_text("{}") # Hidden side effect! return json.loads(config_path.read_text()) # Good - name reveals behavior def get_or_create_config(): if not config_path.exists(): config_path.write_text("{}") return json.loads(config_path.read_text())
Quick Reference
| Rule | Principle | Example |
|---|---|---|
| N1 | Descriptive names | SECONDS_PER_DAY not d |
| N2 | Right abstraction level | get_user_directory() not get_dict_of_... |
| N3 | Standard nomenclature | UserFactory, calculate_amortization |
| N4 | Unambiguous | rename_file(old_path, new_path) |
| N5 | Length matches scope | Short for loops, long for globals |
| N6 | No encodings | users not lst_users |
| N7 | Describe side effects | get_or_create_config() |


