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Data Visualization with Python

In this series, we'll be introduced to three popular Python data visualization tools:

  • matplotlib
  • bokeh
  • holoviews

If you're just using a standard Python distribution, you will be able to follow along with the first two libraries (matplotlib and bokeh) after running the following commands (preferrably inside a virtualenv).

$ pip install jupyter pandas numpy matplotlib bokeh
$ jupyter notebook # <- will launch a notebook server and jupyter application

If you're using conda, you can create a new environment with all the dependencies installed by running the following.

$ conda env create -f environment.yml
$ source activate pyviz
(pyviz) $ jupyter notebook --NotebookApp.iopub_data_rate_limit=100000000