Scalars and Vectors
Introduction
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.
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Anaconda can be downloaded here:
https://www.anaconda.com/distribution/
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Thanks for reading.
Happy Coding :)
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