{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Use Studio notebook lifecycle configurations\n", "\n", "This notebook implements a method for configuring dependencies within SageMaker Studio by using Studio Lifecycle Configuration whereby dependencies are installed each time a kernel starts-up.\n", "\n", "For this notebook, please use the Data Science image and Python 3 kernel." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
Shutting down your kernel for this notebook to release resources.
\n", "\n", " \n", "\n" ], "text/plain": [ "Shutting down your kernel for this notebook to release resources.
\n", "\n", " \n", "" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3.10.6 64-bit", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.6" }, "vscode": { "interpreter": { "hash": "b0fa6594d8f4cbf19f97940f81e996739fb7646882a419484c72d19e05852a7e" } } }, "nbformat": 4, "nbformat_minor": 4 }