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Home/ Questions/Q 6170581
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Editorial Team
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Editorial Team
Asked: May 23, 20262026-05-23T23:03:45+00:00 2026-05-23T23:03:45+00:00

In my Ruby application I have a hash table: c = {:sample => 1,:another

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In my Ruby application I have a hash table:

c = {:sample => 1,:another => 2}

I can handle the table like this:

[c[:sample].nil? , c[:another].nil? ,c[:not_in_list].nil?]

I’m trying to do the same thing in Python. I created a new dictionary:

c = {"sample":1, "another":2}

I couldn’t handle the nil value exception for:

c["not-in-dictionary"]

I tried this:

c[:not_in_dictionery] is not None

and it is returning an exception instead of False. How do I handle this?

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  1. Editorial Team
    Editorial Team
    2026-05-23T23:03:46+00:00Added an answer on May 23, 2026 at 11:03 pm

    In your particular case, you should probably do this instead of comparing with None:

    "not_in_dictionary" in c
    

    If you were literally using this code, it will not work:

    c[:not_in_dictionary] is not None
    

    Python doesn’t have special :keywords for dictionary keys; ordinary strings are used instead.


    The ordinary behaviour in Python is to raise an exception when you request a missing key, and let you handle the exception.

    d = {"a": 2, "c": 3}
    
    try:
        print d["b"]
    except KeyError:
        print "There is no b in our dict!"
    

    If you want to get None if a value is missing you can use the dict‘s .get method to return a value (None by default) if the key is missing.

    print d.get("a") # prints 2
    print d.get("b") # prints None
    print d.get("b", 0) # prints 0
    

    To just check if a key has a value in a dict, use the in or not in keywords.

    print "a" in d # True
    print "b" in d # False
    print "c" not in d # False
    print "d" not in d # True
    

    Python includes a module that allows you to define dictionaries that return a default value instead of an error when used normally: collections.defaultdict. You could use it like this:

    import collections
    
    d = collections.defaultdict(lambda: None)
    print "b" in d # False
    print d["b"] # None
    print d["b"] == None # True
    print "b" in d # True
    

    Notice the confusing behaviour with in. When you look up a key for the first time, it adds it pointing to the default value, so it’s now considered to be in the dict.

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