Introduction to NumPy and NumPy Arrays for Beginners, Part I Python Tutorial

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Part I in my introduction to NumPy

Working with true arrays in Python - a quick overview

See Part II here:

If you get an error after entering import numpy as np, it likely means NumPy is not installed on your machine. You can easily install it from a command prompt with the following command:

python -m pip install numpy

Numpy is the essential data library for Python. It is not part of the standard library so you will need to install it to follow along. If you have a scientific platform like Anaconda installed then you will already have Numpy. Many other libraries for example Pandas and Matplotlib borrow heavily from Numpy. Numpy adds a true array to Python and loads of convenience functionality. This tutorial introduces the Numpy array and basic operations. The follow-on video digs in a little deeper.

[levon]

thanks for the video intro, numpy newbie here .. any reason no to do np_arange = np.arange(15) in #8 instead of the 2nd example shown?

[NA-sujk]

Hi, tx for great training vids!
Is there a way to default autonumbering functions to start at 1 instead of 0?
Ty!