Scalars and Vectors


Jupyter Notebook is becoming extremely popular in the world of data science and machine learning. In this video tutorial I run you through everything you will need to know in order to get started with a project in Jupyter. I explain why it's useful and why it's being widely adopted by data scientists. I run through the UI fundamentals and some handy tips and tricks that I've learned over the past year or so. There is also a detailed guide below on how to setup a fresh anaconda environment (with a kernel) and install jupyter.

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Installing Anaconda - Step 1

You will need to install Anaconda to follow along with this tutorial. I recommend you download the Python 3.7 version. If you already have Anaconda installed, go to step 2.

Anaconda can be downloaded here:

python 3.7.png

Thanks for reading.

Happy Coding :)

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