To get the most out of this book

You will need access to download and install open-source code packages implemented in the Python programming language and accessible through PyPi.org or the Anaconda Python distribution. While a background in statistics is helpful, but not necessary, this book assumes you have a decent background in basic algebra. Each unit of this book is independent of the other units, but the chapters within each unit build upon each other. Thus, we advise you to begin each unit with that unit’s first chapter to understand the content.

Software/hardware covered in the book	Operating system requirements
Python version ≥ 3.8	Windows, macOS, or Linux
Statsmodels 0.13.2
SciPy 1.8.1
lifelines 0.27.4
scikit-learn 1.1.1
pmdarima 2.02
Sktime 0.15.0
Pandas 1.4.3
Matplotlib 3.5.2
Numpy 1.23.0

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.