Challenge: Choosing Optimal Data Structures
Swipe to start coding
Your task is to choose the most appropriate data structure (list
, ndarray
, set
, or tuple
) for each of the different scenarios below. Based on the nature of the data and the specific requirements for each collection, fill in the blanks (___
) to create the correct data structures. Make sure to use the appropriate brackets for each structure, and if creating a NumPy array, initialize it based on a list.
- For
monthly_sales
, the data is numerical, and you will need to perform frequent calculations on it. user_ids
, each ID should be unique, and you will need to frequently check if a certain ID is present.product
should be a fixed (unchangeable) record.tasks
should be an ordered collection and allow for frequent additions and removals.
Soluzione
Grazie per i tuoi commenti!
single
Chieda ad AI
Chieda ad AI
Chieda pure quello che desidera o provi una delle domande suggerite per iniziare la nostra conversazione
Awesome!
Completion rate improved to 7.69
Challenge: Choosing Optimal Data Structures
Scorri per mostrare il menu
Swipe to start coding
Your task is to choose the most appropriate data structure (list
, ndarray
, set
, or tuple
) for each of the different scenarios below. Based on the nature of the data and the specific requirements for each collection, fill in the blanks (___
) to create the correct data structures. Make sure to use the appropriate brackets for each structure, and if creating a NumPy array, initialize it based on a list.
- For
monthly_sales
, the data is numerical, and you will need to perform frequent calculations on it. user_ids
, each ID should be unique, and you will need to frequently check if a certain ID is present.product
should be a fixed (unchangeable) record.tasks
should be an ordered collection and allow for frequent additions and removals.
Soluzione
Grazie per i tuoi commenti!
Awesome!
Completion rate improved to 7.69single