Summary
In this chapter, we have explored an interesting tool for online data analysis with Python. Wakari provides us with scientific environments ready to use; this is a great tool for teaching and sharing code. In this chapter, we provided a short introduction to image processing and the pandas library. In pandas, we learned how to work with Time Series and with multivariate datasets. Finally, we learned how to share our IPython notebooks with other Wakari users and how IPython has evolved into the Jupyter project.
Wakari is highly recommended for all the Python community, because it provides a robust Anaconda environment out of the box and support for all the major Python libraries.
