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[ADD] new files for week 3

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Eduardo Cueto Mendoza 2020-05-23 15:07:12 -06:00
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04_Coursera_3.ipynb Normal file
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Peer-graded quiz for `Types`"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Please note that this notebook was created in Julia version 0.4.6."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Answer the following questions by creating the appropriate code."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Question 1\n",
"\n",
"List the subtypes of the `Real` type."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# Subtypes of Real\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Question 2\n",
"\n",
"Create a user-defined type called `MyFloat` with a single field called `x` that is of type `Float64`."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# Create a user-defined type called MyFloat with a single field called x of type Float64\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Question 3\n",
"\n",
"Instantiate the `MyFloat` type with a field values of $ 3 $."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"# Instantiate the MyFloat type with a field value of 3\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Question 4\n",
"\n",
"Create a user-defined parametrized type called `MyCube` with $ 3 $ fields called `h`, `w`, and `l`."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# Create a user-defined parametrized type called MyCube with $ 3 $ fields called h, w, and l.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Question 5\n",
"\n",
"Instantiate the type `MyCube` with $ 2 $ variables called `cube1` and `cube2`, i.e. `cube1 = MyCube(...`. Pass the field values $ 2 $, $ 3 $, and $ 2 $ to `cube1` and $ 4 $, $ 3 $, and $ 2 $ to `cube2`."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"# Create 2 instances of the MyCube type\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Question 6\n",
"\n",
"Change the `h` field value of `cube1` to $ 3 $."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"# Change the h filed value of cube1 to 3\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Question 7\n",
"\n",
"Import the `Base.log` function."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# Import the Base.log function\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Question 8\n",
"\n",
"Create and external constructor that will specify the `log()` function for an instance of the `MyCube` type as the natural logarithm of the product of the values held in the fields `h`, `w`, and `l`."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# Create and external constructor for the natural logarithm of the volume of an instance of MyCube\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Question 9\n",
"\n",
"Calculate the `log()` of `cube1`."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"# The natural log of cube1\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Question 10\n",
"\n",
"Overload the methods of the `+()` function to add the individual field values of $ 2 $ instances of the `MyCube` type."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"# Overload the methods of the +() functions for the MyCube type\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Question 11\n",
"\n",
"Add `cube1` and `cube2`."
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"# Add cube1 and cube2\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"anaconda-cloud": {},
"hide_input": false,
"kernelspec": {
"display_name": "Julia 1.0.0",
"language": "julia",
"name": "julia-1.0"
},
"language_info": {
"file_extension": ".jl",
"mimetype": "application/julia",
"name": "julia",
"version": "1.0.0"
},
"varInspector": {
"cols": {
"lenName": 16,
"lenType": 16,
"lenVar": 40
},
"kernels_config": {
"python": {
"delete_cmd_postfix": "",
"delete_cmd_prefix": "del ",
"library": "var_list.py",
"varRefreshCmd": "print(var_dic_list())"
},
"r": {
"delete_cmd_postfix": ") ",
"delete_cmd_prefix": "rm(",
"library": "var_list.r",
"varRefreshCmd": "cat(var_dic_list()) "
}
},
"types_to_exclude": [
"module",
"function",
"builtin_function_or_method",
"instance",
"_Feature"
],
"window_display": false
}
},
"nbformat": 4,
"nbformat_minor": 1
}