Answer: %pip

The question requires installing packages specifically into the currently running kernel only, not system-wide. %pip is the correct magic function for this purpose as it installs packages directly into the current notebook's kernel environment, making them available only for that session. !pip installs packages system-wide, making them available to all Python processes, which violates the requirement. !conda uses Conda package manager and doesn't integrate well with Azure ML notebook environments. %load is for loading file contents, not package installation. The community discussion strongly supports %pip with 100% consensus and detailed explanations about kernel isolation.

Author: LeetQuiz Editorial Team