In this chapter you’ll:

• Understand the notions of files and persistent data.

• Read, write and update files.

• Read and write CSV files, a common format for machine-learning datasets.

• Serialize objects into the JSON data-interchange format—commonly used to transmit over the Internet—and deserialize JSON into objects.

• Use the with statement to ensure that resources are properly released, avoiding “resource leaks.”

• Use the try statement to delimit code in which exceptions may occur and handle those exceptions with associated except clauses.

• Use the try statement’s else clause to execute code when no exceptions occur in the try suite.

• Use the try statement’s finally clause to execute code regardless of whether an exception occurs in the try.

• raise exceptions to indicate runtime problems.

• Understand the traceback of functions and methods that led to an exception.

• Use pandas to load into a DataFrame and process the Titanic Disaster CSV dataset.