July 2018
Beginner to intermediate
146 pages
3h 39m
English
Before we start coding, we should probably set up our development environment. For data scientists and analysts using Python, the Jupyter Notebook is, by far, the most popular tool for development. Therefore, we strongly advise that you use this environment.
We will also need to download the pandas library. The easiest way to obtain both is to download Anaconda. Anaconda is a distribution that comes with the Jupyter software and the SciPy packages (which includes pandas).
The next step is to create a new folder (I'm going to name it RecoSys) in your desired location. This will be the master folder that contains all the code we write as ...
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