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freeCodeCamp/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-algebra-and-size.english.md
Oliver Eyton-Williams bd68b70f3d
Feat: hide blocks not challenges (#39504) 
* fix: remove isHidden flag from frontmatter

* fix: add isUpcomingChange

Co-authored-by: Ahmad Abdolsaheb <ahmad.abdolsaheb@gmail.com>

* feat: hide blocks not challenges

Co-authored-by: Ahmad Abdolsaheb <ahmad.abdolsaheb@gmail.com>

Co-authored-by: Ahmad Abdolsaheb <ahmad.abdolsaheb@gmail.com>
2020-09-03 15:07:40 -07:00

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id, title, challengeType, videoId
id title challengeType videoId
5e9a093a74c4063ca6f7c157 Numpy Algebra and Size 11 XAT97YLOKD8

Description

Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.

More resources:

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