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learn-python3/notebooks/beginner/exercises/for_loops_exercise.ipynb
Jerry Pussinen 46450175dc Initial commit
2018-05-01 13:59:37 +02:00

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 1. Calculate the sum of dict values\n",
"Calculate the sum of the values in `magic_dict` by taking only into account numeric values. "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"editable": false
},
"outputs": [],
"source": [
"magic_dict = dict(val1=44, val2='secret value', val3=55.0, val4=1)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Your implementation\n",
"sum_of_values = 0 # TODO "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"editable": false
},
"outputs": [],
"source": [
"assert sum_of_values == 100"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 2. Create a list of strings based on a list of numbers\n",
"The rules:\n",
"* If the number is a multiple of five and odd, the string should be `'five odd'`\n",
"* If the number is a multiple of five and even, the string should be `'five even'`\n",
"* If the number is odd, the string is `'odd'`\n",
"* If the number is even, the string is `'even'`"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"editable": false
},
"outputs": [],
"source": [
"numbers = [1, 3, 4, 6, 81, 80, 100, 95]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Your implementation\n",
"my_list = [] # TODO"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"editable": false
},
"outputs": [],
"source": [
"assert my_list == ['odd', 'odd', 'even', 'even', 'odd', 'five even', 'five even', 'five odd']"
]
}
],
"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
}