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Created on Cognitive Class Labs
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<h3 align=center>Function</h3> "
]
},
{
"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"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"20"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def f(a,b):\n",
" \n",
" \"\"\" product of a and b \"\"\"\n",
" x = a * b\n",
" return x\n",
"f (4, 5)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"test the function using the next cell:"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"correct\n"
]
}
],
"source": [
"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 "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"def g(c):\n",
" \"\"\" sum of a list of integers \"\"\"\n",
" return (sum(c))\n",
"c = [1, 2, 3, 4, 5, ]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"test the function using the next cell:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"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",
"<small>Copyright &copy; 2018 IBM Cognitive Class. This notebook and its source code are released under the terms of the [MIT License](https://cognitiveclass.ai/mit-license/).</small>"
]
}
],
"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": "3.6.8"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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