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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<center>\n",
" <img src=\"https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/Logos/organization_logo/organization_logo.png\" width=\"300\" alt=\"cognitiveclass.ai logo\" />\n",
"</center>\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h3 align=center>Function</h3> \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"complete the function <code> f </code> so that it returns the product of <code> a </code> and <code> b </code> , you the next cell to test the function\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"def f(a,b):\n",
" return\n",
"\n",
"\n",
"def f(a,b):\n",
" \n",
" return "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"test the function using the next cell:\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"incorrect\n",
"incorrect\n"
]
}
],
"source": [
"a=4\n",
"b=2\n",
"\n",
"if a*b==f(a,b):\n",
" print(\"correct\")\n",
"else:\n",
" print(\"incorrect\")\n",
"\n",
"\n",
"\n",
"\n",
"a=4\n",
"b=2\n",
"\n",
"if a*b==f(a,b): \n",
" print(\"correct\") \n",
"else: \n",
" print(\"incorrect\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Complete the function <code> g </code> such that the input <code> c </code> is a list of integers and the output is the sum of all the elements in the list \n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"def g(c):\n",
" return\n",
"\n",
"\n",
"\n",
"def g(c):\n",
"\n",
" return "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"test the function using the next cell:\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"c=[1,2,3,4,5]\n",
"\n",
"if sum(c)==g\n",
"\n",
"\n",
"\n",
"\n",
"c=[1,2,3,4,5]\n",
"\n",
"if sum(c)==g(c): \n",
" print(\"correct\") \n",
"else: \n",
" print(\"incorrect\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<hr>\n",
"\n",
"<h3 align=\"center\"> © IBM Corporation 2020. All rights reserved. <h3/>\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python",
"language": "python",
"name": "conda-env-python-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.11"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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