There are no strict prerequisites for this book; however, it's important to have basic-intermediate Python knowledge with a specific focus on NumPy. Whenever necessary, I will provide instructions/references to install specific packages and exploit more advanced functionalities. As Python is based on a semantic indentation, the published version can contain incorrect newlines that raise exceptions when executing the code. For this reason, I invite all readers without deep knowledge of this language to refer to the original source code provided with the book.
All the examples are based on Python 3.5+. I suggest using the Anaconda distribution (https://www.anaconda.com/download/), which is probably the most ...
