Python: NUMPY | Numerical Python Arrays Tutorial

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An introduction tutorial to Python Numpy, a multi-dimensional numerical array library for mathematical operations. Learn basic data analysis for beginners and intermediate Python programmers.

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Hello Joe, I personally think it would be nice if you make videos on all the data-science libraries and make a separate playlist of it.(Pandas, scikit, matplotliib, scipy and also maybe tensorflow, theano, nltk).
Your channel is like a Python pit-stop on Youtube and it would really help if you included all(or most of) these things mentioned above so that we don't have to look anywhere else for anything.

desitechnology

np.random.randint is NOT inclusive of the last element of the range given. np.random.randint(0, 10, 5) returns random integers between 0 and 9.

kenhaley

Numpy also allows you to compare 2D arrays to 1 D arrays. Which is is super useful.

b = 2D array (3x2) < 1D array (2)
print (b)
[ [ True, False ], [ etc, etc ] [ etc, etc ] ]

TheCsePower

Truly a great explanatory tutorial. Even a newbie like me understood this :) Thanks a lot!

Plastrobot

Great Work! Way way better than the paid sites. Please show more

sadisonmez

Thanks Joe. It was very helpful to get me started with Numpy.

shahzadqadir

Great video, very instructive!
Concerning the example you gave at the beginning of your video, I also believe that using list comprehension would have done the trick, in a still very "pythonic" way:
Your code was :

for i in range(len(my_list)):
my_list[i] *= 3

And I would suggest:

my_list = [i*3 for i in range(len(my_list))]

Thanks and keep up the good work :D

paulbeaupere