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freeCodeCamp/curriculum/challenges/chinese/08-data-analysis-with-python/data-analysis-with-python-c.../numpy-algebra-and-size.md

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id challengeType videoId
5e9a093a74c4063ca6f7c157 11 XAT97YLOKD8

Description

More resources: - Notebook

Tests

question:
  text: |
    What is the relationship between size of objects (such as lists and datatypes) in memory in Python's standard library and the NumPy library? Knowing this, what are the implications for performance?    

  answers:
    - |
      Standard Python objects take up much more memory to store than NumPy objects; operations on comparable standard Python and NumPy objects complete in roughly the same time.      
    - |
      NumPy objects take up much more memory than standard Python objects; operations on NumPy objects complete very quickly compared to comparable objects in standard Python.      
    - |
      NumPy objects take up much less memory than Standard Python objects; operations on Standard Python objects complete very quickly compared to comparable objects on NumPy Object.      
    - |
      Standard Python objects take up more memory than NumPy objects; operations on NumPy objects complete very quickly compared to comparable objects in standard Python.      
  solution: 4