Course Content
Data Science Interview Challenge
Data Science Interview Challenge
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.
Task
Given a dictionary of items and their prices, write a Python function to return items with prices greater than a given value.
![Dictionary Manipulation](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/8f74b411-aed3-4916-8a1a-b25629653d8e/2-3/image_1.png)
Task
Given a dictionary of items and their prices, write a Python function to return items with prices greater than a given value.
![Dictionary Manipulation](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/8f74b411-aed3-4916-8a1a-b25629653d8e/2-3/image_1.png)
Everything was clear?
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.
Task
Given a dictionary of items and their prices, write a Python function to return items with prices greater than a given value.
![Dictionary Manipulation](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/8f74b411-aed3-4916-8a1a-b25629653d8e/2-3/image_1.png)
Task
Given a dictionary of items and their prices, write a Python function to return items with prices greater than a given value.
![Dictionary Manipulation](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/8f74b411-aed3-4916-8a1a-b25629653d8e/2-3/image_1.png)
Everything was clear?
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.
Task
Given a dictionary of items and their prices, write a Python function to return items with prices greater than a given value.
![Dictionary Manipulation](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/8f74b411-aed3-4916-8a1a-b25629653d8e/2-3/image_1.png)
Task
Given a dictionary of items and their prices, write a Python function to return items with prices greater than a given value.
![Dictionary Manipulation](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/8f74b411-aed3-4916-8a1a-b25629653d8e/2-3/image_1.png)
Everything was clear?
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.
Task
Given a dictionary of items and their prices, write a Python function to return items with prices greater than a given value.
![Dictionary Manipulation](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/8f74b411-aed3-4916-8a1a-b25629653d8e/2-3/image_1.png)