Summary

In this introductory chapter, we installed everything that we will be using throughout this book, from Python packages to examples. They were installed either directly or by using a scientific distribution. We also introduced Jupyter Notebooks and demonstrated how you can have access to the data run in the tutorials.

In the next chapter, Data Munging, we will have an overview of the data science pipeline and explore all the key tools to handle and prepare data before you apply any learning algorithm and set up your hypothesis experimentation schedule.

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