In this Python tutorial, you will start learning about one of the most important open-source packages in Python (NumPy). Numpy offers:
- Powerful N-Dimensional Arrays for numerical computing
- Plenty of functions to deal with linear algebra, and math in general
- It’s fast and easy to use and most importantly, it is free.
In this introductory video you will be presented to NumPy library, learn how to install it and learn how to create arrays and matrices. Finally, you will understand why NumPy arrays are more efficient than Python Lists when dealing with mathematical operations. We will perform a benchmark comparing NumPy arrays and Python Lists. Let’s get started!
Learn how to use Jupyter Notebooks: https://www.youtube.com/watch?v=gGYaFfAvYtg&t=343s
Playlist: NumPy Course | Video #1
Access the code here: https://github.com/rscorrea1/youtube.git
Timestamp:
0:00 - What is Numpy
0:48 - Course will be presented using Jupyter Notebook
1:07 - Content of the video
1:32 - How to install
2:01 - What is a NumPy Array
2:50 - How to create NumPy Array
3:59 - Why use NumPy Array
5:39 - Speed test Benchmark
9:39 - Next NumPy video announcement
#numpy #python #python numpy tutorial #array #list benchmark
