Skip to content

Instantly share code, notes, and snippets.

Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save gbcanuck71/3b878c642a349627e239e8ea52055531 to your computer and use it in GitHub Desktop.
Save gbcanuck71/3b878c642a349627e239e8ea52055531 to your computer and use it in GitHub Desktop.
Created on Cognitive Class Labs
Display the source blob
Display the rendered blob
Raw
{
"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": 4,
"metadata": {},
"outputs": [],
"source": [
"def f(a,b):\n",
" c=a*b\n",
" return c"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"test the function using the next cell:"
]
},
{
"cell_type": "code",
"execution_count": 5,
"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,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
"def g(c):\n",
"\n",
" return "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"test the function using the next cell:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": 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",
"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": "3.6.7"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment