Chapter 3. Names That Canât Be Misconstrued
In the previous chapter, we covered how to put a lot of information into your names. In this chapter, we focus on a different topic: watching out for names that can be misunderstood.
Key Idea
Actively scrutinize your names by asking yourself, âWhat other meanings could someone interpret from this name?â
Really try to be creative here, actively seeking âwrong interpretations.â This step will help you spot those ambiguous names so you can change them.
For the examples in this chapter, weâre going to âthink aloudâ as we discuss the misinterpretations of each name we see, and then pick better names.
Example: Filter()
Suppose youâre writing code to manipulate a set of database results:
results = Database.all_objects.filter("year <= 2011")
What does results
now contain?
Objects whose year is <= 2011?
Objects whose year is not <= 2011?
The problem is that filter
is an ambiguous word. Itâs unclear
whether it means âto pick outâ or âto get rid of.â Itâs best to avoid the
name filter
because itâs so easily
misconstrued.
If you want âto pick out,â a better name is
select()
. If you want âto get rid of,â
a better name is exclude()
.
Example: Clip(text, length)
Suppose you have a function that clips the contents of a paragraph:
# Cuts off the end of the text, and appends "..."
def Clip(text, length):
...
There are two ways you ...
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