Dictionaries store data in keyvalue pairs from "summary" of Python Programming by John M. Zelle
Dictionaries in Python are a very useful data structure that allow us to store data in a way that is efficient for easy retrieval. They work by associating keys with values, so that we can quickly look up a value based on its corresponding key. This is similar to how we might look up a word in a physical dictionary - we find the word we are looking for, and then see its definition right next to it. When we create a dictionary in Python, we specify both the keys and the values that we want to associate with each key. This allows us to store data in a way that is easy to access later on. For example, if we were creating a dictionary to store information about students, we might use the student's name as the key and their grade as the value. This way, we can quickly look up a student's grade by simply knowing their name. One key feature of dictionaries is that the keys must be unique. This means that we cannot have two keys in a dictionary that are the same. If we try to add a key that already exists in the dictionary, the new value will simply overwrite the old value associated with that key. This allows us to easily update values in our dictionary as needed. Another important feature of dictionaries is that they are mutable, which means that we can change the values associated with keys after the dictionary has been created. This allows us to easily update our data as it changes over time. For example, if a student's grade changes, we can simply update the value associated with their name in the dictionary.- Dictionaries are a powerful tool in Python that allow us to store and access data efficiently. By associating keys with values, we can quickly look up information and update it as needed. This makes dictionaries a valuable data structure for a wide variety of applications.
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