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Data Science Interview Challenge

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Challenge 3: Dictionary Manipulation

Dictionaries in Python offer a structured and flexible way to store data. The strengths of dictionary manipulation include:

  • Key-Value Pairs: Dictionaries store data as key-value pairs, allowing rapid data retrieval by just knowing the key. This can drastically improve performance in look-up operations.

  • Dynamic and Flexible: Dictionaries in Python can grow and shrink dynamically and can even contain mixed data types, offering great flexibility.

  • Data Structuring: They provide a way to organize data hierarchically and can be nested, making them perfect for complex data representation.

In essence, dictionary manipulation ensures efficient and organized data storage and retrieval.

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Given a dictionary of items and their prices, write a Python function to return items with prices greater than a given value.

Dictionary Manipulation

Lösning

def filter_items_by_price(items, threshold):
return {item: price for item, price in items.items() if price > threshold}

items_dict = {
'apple': 0.5,
'banana': 0.25,
'cherry': 1.2,
'date': 2.5
}
print(filter_items_by_price(items_dict, 1))

Var allt tydligt?

Hur kan vi förbättra det?

Tack för dina kommentarer!

Avsnitt 1. Kapitel 4
def filter_items_by_price(items, threshold):
return {___}

items_dict = {
'apple': 0.5,
'banana': 0.25,
'cherry': 1.2,
'date': 2.5
}
print(filter_items_by_price(items_dict, 1))

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