Python Numpy Tutorial for Beginners 2 – Python List Vs Numpy Array




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In this Python Numpy Tutorial for beginners Video we will see the comparison between Python List Vs Numpy Array. Python lists are efficient general-purpose containers.However, they have certain limitations: they don’t support “vectorized” operations like element wise addition and multiplication.NumPy will be orders of magnitude faster and more convenient than lists.NumPy is not just more efficient; it is also more convenient. Use Numpy for scalability and indeed for efficiency.
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Comment List

  • ProgrammingKnowledge
    December 31, 2020

    I didn't get why you said,
    'Vector Addition' & "Scalar Multiplication".

  • ProgrammingKnowledge
    December 31, 2020

    Numpy arrays are much faster than lists when it comes to iteration, but does this only apply to numbers? I was wanting to try to use it for strings because I have a QT Tree widget that I populate from a DB using a lot of iteration to match up the top level and lower level data and the iteration itself is by far the slowest part. So far though, I have only ever seen it used with only numbers. Would using it's iteration speed even be possible in my case?

  • ProgrammingKnowledge
    December 31, 2020

    Hey. I Am New To C# And Need A Project For Tomorrow For School. Urgent. Can Anyone Give Me A Code That Take Student names And Thier Grades And Prints Them And Show Min,Max,Average. If You Help I Will Be Very Very Thankfull I Couldn,t Do It Correctly

  • ProgrammingKnowledge
    December 31, 2020
  • ProgrammingKnowledge
    December 31, 2020

    Nice sir

  • ProgrammingKnowledge
    December 31, 2020

    Sir can i study C++ and python together ?

  • ProgrammingKnowledge
    December 31, 2020

    Superb….
    Keep it up..

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