NumPy Crash Course – Complete Tutorial

Get my Free NumPy Handbook:
https://www.python-engineer.com/numpybook

Learn NumPy in this complete 60 minutes Crash Course! I show you all the essential functions of NumPy, and some tricks and useful methods. NumPy is the core library for scientific computing in Python. It is essential for any data science or machine learning algorithms.

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📚 Get my FREE NumPy Handbook:
https://www.python-engineer.com/numpybook

📓 Notebooks available on Patreon:
https://www.patreon.com/patrickloeber

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Timestamps:
00:00 – Overview
01:59 – NumPy Introduction
03:30 – Installation and Basics
08:00 – Array vs List
12:06 – Dot Product
15:52 – Speed Test array vs list
17:54 – Multidimensional (nd) arrays
22:09 – Indexing/Slicing/Boolean Indexing
29:37 – Reshaping
32:40 – Concatenation
36:16 – Broadcasting
38:26 – Functions and Axis
41:50 – Datatypes
44:03 – Copying
45:15 – Generating arrays
48:05 – Random numbers
51:29 – Linear Algebra (Eigenvalues / Solving Linear Systems)
01:00:04 – Loading CSV files

You can play around with the notebook here:
https://github.com/python-engineer/python-engineer-notebooks

Data Loading with NumPy:

My Machine Learning Tutorials with NumPy:

NumPy Official site:
https://numpy.org/

You can find me here:
Website: https://www.python-engineer.com
Twitter: https://twitter.com/python_engineer
GitHub: https://github.com/python-engineer

#Python

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