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adding robot.md to the repository #13

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adding robot.md to the repository #13

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7539d8f
adding robot.md to the repository
LindaRit Aug 4, 2019
8cf02ba
Adding snail-and-well prework
LindaRit Aug 7, 2019
e3bb5f3
Adding snail-and-well without Bonus
LindaRit Aug 7, 2019
b667eff
Adding the duel exercise
LindaRit Aug 8, 2019
90f3243
Adding the bus exercise
LindaRit Aug 8, 2019
4b313b5
Adding robin-hood + update of the bus exercise
LindaRit Aug 9, 2019
6043942
Adding first part of exercise temperatures
LindaRit Aug 9, 2019
91601ef
Adding the second part of the exercise temperature
LindaRit Aug 10, 2019
80fb7e8
Adding bonus duel and the first solutions of paper-stone-scissors
LindaRit Aug 11, 2019
d29ae7b
Update of temperatures
LindaRit Aug 11, 2019
c2ffc39
Add Exercise stone-scissors-paper, not yet finished
LindaRit Aug 12, 2019
145f70e
Add final version of rock-paper-scissors
LindaRit Aug 18, 2019
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115 changes: 100 additions & 15 deletions bus/bus.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -32,53 +32,138 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"# variables\n",
"\n"
"stops = [(5,0),(8,2),(5,3),(7,4)]\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 4,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"4"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 1. Calculate the number of stops.\n",
"\n"
"\n",
"len(stops)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 1,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[10, 4, 3, 3, 5, 1, 5, 4, 2]\n",
"[0, 1, 5, 4, 1, 5, 8, 6, 3]\n",
"[10, 13, 11, 10, 14, 10, 7, 5, 4]\n"
]
}
],
"source": [
"# 2. Assign a variable a list whose elements are the number of passengers in each stop: \n",
"# Each item depends on the previous item in the list + in - out.\n",
"\n"
"stops = [(10, 0), (4, 1), (3, 5), (3, 4), (5, 1), (1, 5), (5, 8 ), (4, 6), (2, 3)]\n",
"bus_in = []\n",
"for i in stops:\n",
" bus_in.append(i [0])\n",
"print(bus_in)\n",
"\n",
"bus_out = []\n",
"\n",
"for j in stops:\n",
" bus_out.append(j [1])\n",
"print(bus_out)\n",
"\n",
"bus_occupied=[]\n",
"total = 0\n",
"for x,y in zip(bus_in, bus_out):\n",
" total += x-y\n",
" bus_occupied.append(total)\n",
"print(bus_occupied)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 2,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"14"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 3. Find the maximum occupation of the bus.\n",
"\n"
"\n",
"max(bus_occupied)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 3,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"9.333333333333334"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 4. Calculate the average occupation. And the standard deviation.\n",
"\n"
"\n",
"sum(bus_occupied)/len(bus_occupied)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3.391164991562634"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# standard deviation\n",
"import statistics\n",
"statistics.stdev(bus_occupied)"
]
},
{
Expand All @@ -105,7 +190,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.2"
"version": "3.7.3"
}
},
"nbformat": 4,
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