{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# 2.7 Decision Making: The if Statement and Comparison Operators" ] }, { "attachments": { "034cf1fd-52d2-4a5e-8b02-a6c433f6a8a6.png": { "image/png": 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" } }, "cell_type": "markdown", "metadata": {}, "source": [ "![Screenshot 2023-01-31 at 11.22.27 PM.png](attachment:034cf1fd-52d2-4a5e-8b02-a6c433f6a8a6.png)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "7 > 4" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "7 < 4" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "7 > = 4" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Chaining Comparisons" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "x = 3" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "1 <= x <= 5" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "x = 10" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "1 <= x <= 5" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### **EXERCISE:** Use all six comparison operators to compare the values `5` and `9`. Display the values on one line using `print()`." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "##########################################################################\n", "# (C) Copyright 2019 by Deitel & Associates, Inc. and #\n", "# Pearson Education, Inc. All Rights Reserved. #\n", "# #\n", "# DISCLAIMER: The authors and publisher of this book have used their #\n", "# best efforts in preparing the book. These efforts include the #\n", "# development, research, and testing of the theories and programs #\n", "# to determine their effectiveness. The authors and publisher make #\n", "# no warranty of any kind, expressed or implied, with regard to these #\n", "# programs or to the documentation contained in these books. The authors #\n", "# and publisher shall not be liable in any event for incidental or #\n", "# consequential damages in connection with, or arising out of, the #\n", "# furnishing, performance, or use of these programs. #\n", "##########################################################################\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Additional material (C) copyright 2023 by Ronald Mak" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.9.13" } }, "nbformat": 4, "nbformat_minor": 4 }