Interactive Data Visualization with Python using Bokeh

This repository provides the data in support of the course Interactive Data Visualization with Python using Bokeh, provided by Cloud Academy. You can contact the author directly on Linkedin.

Data

You can find the necessary data in the data folder. I suggest to follow the following steps in order you to be able to replicate the course steps on your local host.

Open your favourite terminal emulator, and then:

1. Clone the repo

This action will clone the repo, including the data that is used for this course.

git clone https://github.com/cloudacademy/interactive-data-visualization-with-bokeh.git

2. Create a python virtualenv

pip install virtualenvwrapper
mkvirtualenv - p python3 <NAME_ENV>

Please check the offical documentation for troubleshooting here. I am assuming you are using a standard python environment. If, instead, you are using anaconda, then please check the offical documentaiton to create a virtual env specific for conda here. For example, you can create a conda virtual env with python 3.7 as follows:

conda create -n <NAME_ENV> python=3.7

3. Install the necessary requirements:

pip install -r requirements.txt

or alternatively using conda

conda install --file requirements.txt

4. Open a jupyter notebook by running:

jupyter notebook

You are now ready to get your hands dirty: enjoy!