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

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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[mosthed]

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?

[Bis_panda]

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

[hassaankhalid]

Sir can i study C++ and python together ?

[sajjadbrk]

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