Chapter 1, Setting Up a Python Data Analysis Environment, discusses installing Anaconda and managing it. Anaconda is a software package we will use in the following chapters of this book.
Chapter 2, Diving into NumPY, discusses NumPy data types controlled by dtype objects, which are the way NumPy stores and manages data.
Chapter 3, Operations on NumPy Arrays, will cover what every NumPy user should know about array slicing, arithmetic, linear algebra with arrays, and employing array methods and functions.
Chapter 4, pandas are Fun! What is pandas?, introduces pandas and looks at what it does. We explore pandas series, DataFrames, and creating them.
Chapter 5, Arithmetic, Function Application, and Mapping with pandas, revisits some topics discussed previously, regarding applying functions in arithmetic to a multivariate object and handling missing data in pandas.
Chapter 6, Managing, Indexing, and Plotting, looks at sorting and ranking. We'll see how to achieve this in pandas, looking at hierarchical indexing and plotting with pandas.
