{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# 1. Fill the missing pieces\n", "Fill the `____` parts of the code below." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Let's create an empty list\n", "my_list = ____\n", "\n", "# Let's add some values\n", "my_list.____(\"Python\")\n", "my_list.____(\"is ok\")\n", "my_list.____(\"sometimes\")\n", "\n", "# Let's remove 'sometimes'\n", "my_list.____(\"sometimes\")\n", "\n", "# Let's change the second item\n", "my_list[____] = \"is neat\"" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "editable": false }, "outputs": [], "source": [ "# Let's verify that it's correct\n", "assert my_list == [\"Python\", \"is neat\"]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 2. Create a new list without modifiying the original one\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "editable": false }, "outputs": [], "source": [ "original = [\"I\", \"am\", \"learning\", \"hacking\", \"in\"]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Your implementation here\n", "modified = " ] }, { "cell_type": "code", "execution_count": null, "metadata": { "editable": false }, "outputs": [], "source": [ "assert original == [\"I\", \"am\", \"learning\", \"hacking\", \"in\"]\n", "assert modified == [\"I\", \"am\", \"learning\", \"lists\", \"in\", \"Python\"]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 3. Create a merged sorted list" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "editable": false }, "outputs": [], "source": [ "list1 = [6, 12, 5]\n", "list2 = [6.2, 0, 14, 1]\n", "list3 = [0.9]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Your implementation here\n", "my_list = " ] }, { "cell_type": "code", "execution_count": null, "metadata": { "editable": false }, "outputs": [], "source": [ "print(my_list)\n", "assert my_list == [14, 12, 6.2, 6, 5, 1, 0.9, 0]" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.5.4" } }, "nbformat": 4, "nbformat_minor": 2 }