In which scenario would you import a package in Python?

Importing a package in Python is commonly done to leverage the functions and classes defined within that package. Packages are collections of modules that encapsulate related functionality, allowing a programmer to write cleaner and more modular code. By importing a package, you gain access to its predefined methods and objects, enhancing your ability to build a program without having to reinvent the wheel. This is essential in programming since many tasks, such as data manipulation, web development, or numerical analysis, can be drastically simplified by utilizing established libraries rather than coding everything from scratch.

In scenarios where you want to enhance your program's capabilities with features provided by external code, importing a package is the standard approach. For example, if you wanted to perform complex mathematical operations, importing the 'math' package allows you to use functions like math.sqrt() or math.factorial() directly.

Other options do reflect actions related to packages but do not properly account for the primary reason for importing. Exporting features applies to modules being made available to other files, installation check is managed using package managers rather than import statements, and creating a new package involves structuring code into a package format rather than importing existing ones.