EDA Python - 10-1_Dictionaries

The video tutorial introduces dictionaries in Python, highlighting their usefulness in data analysis. It covers how to create dictionaries using key-value pairs, access and modify elements, and add new pairs. The tutorial also explains dictionary methods like items, keys, and values, and demonstrates iterating over dictionaries. Additionally, it shows how to create dictionaries from lists using the zip function. Understanding dictionaries is emphasized as crucial for data analysis in Python.

What is the primary structure used to define a dictionary in Python?

• Square brackets with key-value pairs

• Curly brackets with key-value pairs

• Angle brackets with key-value pairs

• Parentheses with key-value pairs

Which of the following can be used as a key in a Python dictionary?

• A list

• A string

• A dictionary

• A set

How can you access the value associated with a key in a dictionary?

• Using parentheses around the key

• Using angle brackets around the key

• Using square brackets around the key

• Using curly brackets around the key

What method would you use to retrieve all key-value pairs in a dictionary?

• dict.keys()

• dict.pairs()

• dict.values()

• dict.items()

Which function can be used to create a dictionary from two lists?

• tuple()

• list()

• dict()

• zip()

What is the result of iterating over a dictionary using the items() method?

• A list of keys

• A list of values

• A list of key-value pairs

• A list of indices

Why are dictionaries considered important for data analysis in Python?

• They provide a flexible way to store and access data

• They allow for ordered data storage

• They are easier to use than other data structures

• They are faster than lists