In this chapter, we covered several customization options of IPython and the Jupyter Notebook. The IPython Cookbook contains more details, notably on how to create entirely custom widgets in the Notebook.

With this book, you've learned the fundamentals of the platform: Python, IPython, and the Jupyter Notebook. You've seen how to analyze real-world datasets with pandas and NumPy, and how to create plots with matplotlib and seaborn. Finally, you've sampled a wide-range of the scientific Python ecosystem, including high-performance computing, interactive visualization, and interactive data analysis.

The IPython Cookbook, Packt Publishing, is the sequel of this book. In more than 500 pages and 100 recipes, it explores the topics addressed in this book in much greater detail. Also, it contains a wide range of examples illustrating advanced analyses in applied mathematics, statistics, machine learning, signal processing, networks, and many other domains.