Conteúdo do Curso
Optimization Techniques in Python
Optimization Techniques in Python
Challenge: Choosing Optimal Data Structures
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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.
Solução
Obrigado pelo seu feedback!
Challenge: Choosing Optimal Data Structures
Swipe to show code editor
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.
Solução
Obrigado pelo seu feedback!