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  "description": "In this tutorial, you'll take a deep dive into how to iterate through a dictionary in Python. Dictionaries are a fundamental data type in Python, and you can solve various programming problems by iterating through them.",
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        "name": "What\u2019s the difference between iterating with .keys() and .values()?",
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Using .keys() returns a view of the dictionary’s keys, allowing you to iterate through them. Conversely, .values() returns a view of the dictionary’s values. If you only need to work with keys or values, you can choose the appropriate method to make your code more explicit and readable.
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You can iterate over a dictionary’s keys and values using the .items() method. This method returns a view object containing key-value pairs as tuples, which you can unpack directly in a for loop:
\n\n  
\n    Python\n    \n    
\n      \n    
\n  
\n  
\n    
for key, value in dict_object.items():\n    print(key, value)\n
\n    \n    \n    \n  
\n\n
In this example, you use key, value to unpack the tuples that you create during the iteration with .items().
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Yes, you can! If you only need to update or modify the values of an existing dictionary, then you can safely do it in a loop because dictionaries are mutable, and you can change their values in place.
\n
On the other hand, if you need to remove key-value pairs from a dictionary while you’re looping through it, then you’d need to use a copy for the iteration and remove the values from the original dictionary. To create a shallow copy of a dictionary, you can use the .copy() method.
\n
You can also use a while loop and the .popitem() method to remove consecutive items from a dictionary without needing to make a copy beforehand.
\n
Sometimes, a better option is to use a dictionary comprehension to create a new dictionary with transformed values.
"
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If you want to iterate through a dictionary in sorted order, for example, then you can use the built-in sorted() function. If you feed this function with the result of .items(), then you’ll get a list of key-value tuples that you can traverse in a loop as usual.
\n
Additionally, you can use the built-in reversed() function to iterate through a Python dictionary in reverse order.
"
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The collections and itertools standard-library modules provide the ChainMap class and the chain() function, respectively. Both tools allow you to combine multiple dictionaries and iterate through them in a chain. You’ll find a subtle behavior difference between these tools, though.
\n
When the input dictionaries have duplicate keys, ChainMap only gives you access to the first instance of a key, while chain() gives you access to all the instances of a repeated key.
\n
Finally, you can also use the dictionary unpacking operator (**) to merge multiple dictionaries together and iterate over the resulting dictionary. In this case, if the input dictionaries have duplicate keys, the last instance of every repeated key will prevail.
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