What this book covers

Chapter 1, Getting Started with IPython, is a thorough and beginner-friendly introduction to Anaconda (a popular Python distribution), the Python language, the Jupyter Notebook, and IPython.

Chapter 2, Interactive Data Analysis with pandas, is a hands-on introduction to interactive data analysis and visualization in the Notebook with pandas, matplotlib, and seaborn.

Chapter 3, Numerical Computing with NumPy, details how to use NumPy for efficient computing on multidimensional numerical arrays.

Chapter 4, Interactive Plotting and Graphical Interfaces, explores many capabilities of Python for interactive plotting, graphics, image processing, and interactive graphical interfaces in the Jupyter Notebook.

Chapter 5, High-Performance and Parallel Computing, introduces the various techniques you can employ to accelerate your numerical computing code, namely parallel computing and compilation of Python code.

Chapter 6, Customizing IPython, shows how IPython and the Jupyter Notebook can be extended for customized use-cases.