9. Files and Exceptions

Objectives

  • 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.

Objectives (cont.)

  • 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.

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