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adding robot.md to repo #39

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0fd8f95
adding robot.md to repo
beto-Sibileau Mar 25, 2020
d5826a9
Snail and well exercise completed
beto-Sibileau Mar 26, 2020
6da985e
Duel of sorcerers exercise completed
beto-Sibileau Mar 26, 2020
cfd9e06
Bus exercise completed
beto-Sibileau Mar 27, 2020
0cf2672
Robin Hood exercise completed
beto-Sibileau Mar 27, 2020
1eb7cee
Temperature Processor completed
beto-Sibileau Mar 27, 2020
46b3b97
Rock paper scissors lizard spock checked
beto-Sibileau Mar 28, 2020
2ce32a6
folder new! different long-hyphen MAC vs Windows
beto-Sibileau Mar 28, 2020
c92a3e2
added snapshots of quiz solutions on statistics (pre-work)
beto-Sibileau Apr 6, 2020
26e38e3
statistics lab updated
beto-Sibileau May 19, 2020
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134 changes: 112 additions & 22 deletions 1.-Python/1.-Snail-and-Well/snail-and-well.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -30,10 +30,15 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": []
"source": [
"well_height = 125\n",
"daily_distance = 30\n",
"nightly_distance = 20\n",
"snail_position = 0"
]
},
{
"cell_type": "markdown",
Expand All @@ -44,10 +49,12 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": []
"source": [
"days = 1"
]
},
{
"cell_type": "markdown",
Expand All @@ -58,10 +65,16 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": []
"source": [
"while snail_position < well_height:\n",
" snail_position += daily_distance\n",
" if snail_position <= well_height:\n",
" snail_position -= nightly_distance\n",
" days += 1"
]
},
{
"cell_type": "markdown",
Expand All @@ -72,10 +85,20 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": []
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The snail takes 11 days to escape the well\n"
]
}
],
"source": [
"print(\"The snail takes\", days, \"days to escape the well\")"
]
},
{
"cell_type": "markdown",
Expand All @@ -96,10 +119,28 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": []
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"BONUS: The snail takes 6 days to escape the well\n"
]
}
],
"source": [
"days = 1\n",
"snail_position = 0\n",
"advance_cm = [30, 21, 33, 77, 44, 45, 23, 45, 12, 34, 55]\n",
"while snail_position < well_height:\n",
" snail_position += advance_cm[days-1]\n",
" if snail_position <= well_height:\n",
" snail_position -= nightly_distance\n",
" days += 1\n",
"print(\"BONUS: The snail takes\", days, \"days to escape the well\")"
]
},
{
"cell_type": "markdown",
Expand All @@ -111,10 +152,29 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": []
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The maximum displacement in one day is 57\n",
"The minimum displacement in one day is 1\n"
]
}
],
"source": [
"# Accumulated displacements before the last day\n",
"accumDisp = sum(advance_cm[:days-1]) - nightly_distance*(days-1)\n",
"# Snail's displacement on the last day\n",
"lastDayDisp = well_height - accumDisp\n",
"# Compute the maximum and minimum (no slide for the last day)\n",
"maxDailyDisp = max([max(advance_cm[:days-1])-nightly_distance,lastDayDisp])\n",
"minDailyDisp = min([min(advance_cm[:days-1])-nightly_distance,lastDayDisp])\n",
"print(\"The maximum displacement in one day is\", maxDailyDisp)\n",
"print(\"The minimum displacement in one day is\", minDailyDisp)"
]
},
{
"cell_type": "markdown",
Expand All @@ -125,10 +185,22 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": []
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The average displacement is 20.83\n"
]
}
],
"source": [
"# Sum of displacements is well height\n",
"meanDisp = well_height/days\n",
"print(\"The average displacement is\", round(meanDisp,2))"
]
},
{
"cell_type": "markdown",
Expand All @@ -139,10 +211,28 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": []
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The standard deviation of displacements is 17.83\n"
]
}
],
"source": [
"# Store the accumulated square distance to mean\n",
"accumDist2Mean = 0\n",
"for day in range(days):\n",
" if day < days:\n",
" accumDist2Mean += (advance_cm[day]-nightly_distance-meanDisp)**2\n",
" else:\n",
" accumDist2Mean += (lastDayDisp-meanDisp)**2\n",
"stdDev = (accumDist2Mean/days)**(0.5)\n",
"print(\"The standard deviation of displacements is\", round(stdDev,2))"
]
}
],
"metadata": {
Expand All @@ -161,7 +251,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.2"
"version": "3.7.6"
}
},
"nbformat": 4,
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