To get the most out of this book

I designed this book to be a hands-on journey. It will be more effective to read a chapter, run the code on the Python Notebook, re-read the chapter’s part that confused you, and jump back to hacking the code until the concept or technique is firmly understood.

Software/hardware covered in the book	Operating system requirements
Python	Chrome, Edge, Safari, or FireFox browser on Windows, macOS, or Linux.
Jupyter Notebook (Python Notebook)
Python standard libraries, Panda, Matplotlib, and Numpy
Python image, text, audio, and tabular data augmentation libraries.

The default online Jupyter Notebook is the Google Colab. You need a Google account. For other online Jupyter Notebook, like Kaggle, Microsoft, or other online Jupyter Notebook, you need sign up or have an account to their services.

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.

Downloading real-world dataset from the Kaggle website requires a Kaggle username and key.