Hashing is the process of running an item through a specific kind of function. Note: The keys in a dictionary have to be hashable. Python dictionaries work with the same concept, the word whose meaning you are looking for is the key and the meaning of the word is the value, you do not need to know the index of the word in a dictionary to find its meaning. when you need to look up the meaning of a word, you try to find the meaning using the word itself and not the possible index of the word. Lastly, you will see what nested dictionary comprehension is, how you can use it and how you can potentially rewrite it with for loops.Ī dictionary in Python is a collection of items accessed by a specific key rather than by index. ![]() You will learn how to add conditionals into dictionary comprehensions: you will work with if conditions, multiple if conditions and also if-else statements.Next, you'll learn about Python dictionary comprehensions: you will see what it is, why it is important and how it can serve as an alternative to for loops and lambda functions.First you'll see what a Python dictionary really is and how you can use it effectively.You will often have to deal with dictionaries when doing data science, which makes dictionary comprehension a skill that you will want to master. What you now deal with is a "key-value" pair, which is sometimes a more appropriate data structure for many problem instead of a simple list. ![]() But, rather than accessing elements using its index, you assign a fixed key to it and access the element using the key. ![]() Dictionaries (or dict in Python) are a way of storing elements just like you would in a Python list.
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