To execute the code in this book, you must have at least a basic knowledge of Python. We will use Python as the core language to execute the code. The code examples have been tested using Python 3.8. However, it is expected to still work with future language versions.

Along with Python, this book uses Docker to emulate data systems and applications in our local machine, such as PostgreSQL, MongoDB, and Airflow. Therefore, a basic knowledge of Docker is recommended to edit container image files and run and stop containers.

Please, remember that some command-line commands may need adjustments depending on your local settings or operating system. The commands in the code examples are based on the Linux command-line syntax and might need some adaptations to run on Windows PowerShell.

For almost all recipes in this book, you can use a Jupyter Notebook to execute the code. Even though it is not mandatory to install it, this tool can help you to test the code and try new things on the code due to the friendly interface.

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

Download the example code files

You can download the example code files for this book from GitHub at https://github.com/PacktPublishing/Data-Ingestion-with-Python-Cookbook. In case there’s an update to the code, it will be updated on the existing GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!