diff --git a/1_list_set_dict.ipynb b/1_list_set_dict.ipynb
index 99d1f2e..ca17aae 100644
--- a/1_list_set_dict.ipynb
+++ b/1_list_set_dict.ipynb
@@ -25,54 +25,6 @@
"## A list is a value that contains multiple values in an ordered sequence."
]
},
- {
- "cell_type": "code",
- "metadata": {
- "colab_type": "code",
- "id": "qn4isYwEqQMK",
- "colab": {}
- },
- "source": [
- "# list of strings\n",
- "['apple', 'cherry', 'banana', 'Lemon', 'Grape']\n",
- "# list of mixtures\n",
- "[1, 'apple', 'cat', 3.1416]\n",
- "# list inside list\n",
- "['apple', [1, 2, 3], 'banana']"
- ],
- "execution_count": 0,
- "outputs": []
- },
- {
- "cell_type": "code",
- "metadata": {
- "id": "99gRNRrgirez",
- "colab_type": "code",
- "colab": {}
- },
- "source": [
- "# assign a list to a variable\n",
- "fruits = ['apple', 'cherry', 'banana', 'Lemon', 'Grape']\n",
- "fruits"
- ],
- "execution_count": 0,
- "outputs": []
- },
- {
- "cell_type": "code",
- "metadata": {
- "id": "hXWF4nwN5MDq",
- "colab_type": "code",
- "colab": {}
- },
- "source": [
- "# create empty list\n",
- "empty_list = []\n",
- "empty_list_2 = list()"
- ],
- "execution_count": 0,
- "outputs": []
- },
{
"cell_type": "markdown",
"metadata": {
@@ -1144,51 +1096,6 @@
"execution_count": 0,
"outputs": []
},
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "UhTGTkuim2B1",
- "colab_type": "text"
- },
- "source": [
- "## Zip(list1, list2, ...)\n",
- "Combine multipe lists to tuples"
- ]
- },
- {
- "cell_type": "code",
- "metadata": {
- "id": "d1QsVyqamya4",
- "colab_type": "code",
- "colab": {}
- },
- "source": [
- "states = ['NJ', 'NY', 'PA']\n",
- "capitals = ['Trenton', 'Albany', 'Harrisburg']\n",
- "\n",
- "for s, c in zip(states, capitals):\n",
- " print('The capital city of %s state is %s' % (s, c))"
- ],
- "execution_count": 0,
- "outputs": []
- },
- {
- "cell_type": "code",
- "metadata": {
- "id": "7XIzCbhrogr3",
- "colab_type": "code",
- "colab": {}
- },
- "source": [
- "states = ['NJ', 'NY', 'PA', 'MD'] # 4 values\n",
- "capitals = ['Trenton', 'Albany', 'Harrisburg'] # 3 values\n",
- "\n",
- "for s, c in zip(states, capitals):\n",
- " print('The capital city of %s state is %s' % (s, c))"
- ],
- "execution_count": 0,
- "outputs": []
- },
{
"cell_type": "markdown",
"metadata": {
@@ -1221,9 +1128,8 @@
"source": [
"# SETS\n",
"\n",
- "Copied from https://www.geeksforgeeks.org/sets-in-python/\n",
- "\n",
- "A Set is an unordered collection data type that is iterable, MUTABLE and has NO DUPLICATE elements. Python's set class represents the mathematical notion of a set."
+ "A Set is collection, unordered, iterable, mutable, no duplicate elements. \n",
+ "Think of sets in math."
]
},
{
@@ -1493,16 +1399,35 @@
"colab": {}
},
"source": [
- "d1 = {}\n",
+ "# empty dictionary\n",
+ "d1 = {} # d1 = dict()\n",
+ "\n",
+ "# add key-value pairs to the dictionary\n",
"d1['a'] = 12\n",
"d1['b'] = 3\n",
"d1['c'] = 47\n",
"d1['d'] = 18\n",
+ "\n",
+ "# show the dictionary\n",
"d1"
],
"execution_count": 0,
"outputs": []
},
+ {
+ "cell_type": "code",
+ "metadata": {
+ "id": "dr-R17LVKgGW",
+ "colab_type": "code",
+ "colab": {}
+ },
+ "source": [
+ "# access value by key\n",
+ "print(d1['c'])"
+ ],
+ "execution_count": 0,
+ "outputs": []
+ },
{
"cell_type": "code",
"metadata": {
@@ -1559,6 +1484,117 @@
"execution_count": 0,
"outputs": []
},
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "FlT-YzvkaVrQ",
+ "colab_type": "text"
+ },
+ "source": [
+ "## Merge two dictionaries\n",
+ "update() method adds items to the dictionary if the key is not in the dictionary. If the key is in the dictionary, it updates the key with the new value."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "metadata": {
+ "id": "XB7hTMsLadrh",
+ "colab_type": "code",
+ "colab": {}
+ },
+ "source": [
+ "nfl_team_list_1 = {\n",
+ " 'Georgia': 'Atlanta Falcons',\n",
+ " 'New York': 'Buffalo Bills',\n",
+ " 'New Jersey': 'New York Giants',\n",
+ " 'Pennsylvania': 'Philadelphia Eagles'\n",
+ "}\n",
+ "nfl_team_list_2 = {\n",
+ " 'Arizona': 'Arizona Cardinals',\n",
+ " 'New York': 'Buffalo Bills',\n",
+ " 'New Jersey': 'New York Jets',\n",
+ " 'Pennsylvania': 'Pittsburgh Steelers',\n",
+ " 'Illinois': 'Chicago Bears'\n",
+ "}"
+ ],
+ "execution_count": 0,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "metadata": {
+ "id": "mXQ7SbA7I-tR",
+ "colab_type": "code",
+ "colab": {}
+ },
+ "source": [
+ "nfl_team_list_1.update(nfl_team_list_2)\n",
+ "nfl_team_list_1"
+ ],
+ "execution_count": 0,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "1kPSFdoE9bUz",
+ "colab_type": "text"
+ },
+ "source": [
+ "## Remove items from a dictionary"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "metadata": {
+ "id": "0DP-VkuX9gbb",
+ "colab_type": "code",
+ "colab": {}
+ },
+ "source": [
+ "# pop() removes an item with speficifed key and returns the value\n",
+ "val = d1.pop('c')\n",
+ "print(val)\n",
+ "print(d1)"
+ ],
+ "execution_count": 0,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "metadata": {
+ "id": "gjiqArH59gfl",
+ "colab_type": "code",
+ "colab": {}
+ },
+ "source": [
+ "# del\n",
+ "car = {\n",
+ " 'brand': 'Ford',\n",
+ " 'model': 'Explorer',\n",
+ " 'year': 2017,\n",
+ " 'price': 20000\n",
+ "}\n",
+ "car"
+ ],
+ "execution_count": 0,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "metadata": {
+ "id": "W6XHJwqPZnRy",
+ "colab_type": "code",
+ "colab": {}
+ },
+ "source": [
+ "# del keyword delete item by key\n",
+ "del car['price']\n",
+ "print(car)"
+ ],
+ "execution_count": 0,
+ "outputs": []
+ },
{
"cell_type": "markdown",
"metadata": {
@@ -1577,6 +1613,7 @@
"colab": {}
},
"source": [
+ "d1 = {'a': 12, 'b': 3, 'c': 47, 'd': 18}\n",
"d1"
],
"execution_count": 0,
@@ -1628,7 +1665,7 @@
"colab_type": "text"
},
"source": [
- "# Data Structure Examples"
+ "# More Examples"
]
},
{
@@ -1759,7 +1796,13 @@
"colab": {}
},
"source": [
- ""
+ "list1 = [3, 4, 5, 6, 2, 1, 4, 9, 0, -2, 7]\n",
+ "list2 = [-3, 8, 5, 6, 2, 1, -5, 9, 12, -2, 11]\n",
+ "\n",
+ "def common_list(l1, l2):\n",
+ " pass # your code here\n",
+ "\n",
+ "print(common_list(list1, list2))\n"
],
"execution_count": 0,
"outputs": []
@@ -1771,7 +1814,7 @@
"colab_type": "text"
},
"source": [
- "2. Write a function that takes a list of numbers and makes a new list of only the first and last elements of the given list. "
+ "2. Write a function that takes a list of numbers and returns the minimum and maximum numbers as a tuple. "
]
},
{
@@ -1782,7 +1825,12 @@
"colab": {}
},
"source": [
- ""
+ "num_list = [3, 4, 5, 6, 2, 1, 4, 9, 0, -2, 7]\n",
+ "\n",
+ "def min_max(n_list):\n",
+ " pass # your code here\n",
+ "\n",
+ "print(min_max(num_list))\n"
],
"execution_count": 0,
"outputs": []
@@ -1811,7 +1859,13 @@
"colab": {}
},
"source": [
- ""
+ "def fibonacci_numbers(up_to=10):\n",
+ " # first two fibonacci numbers\n",
+ " fibs = [0, 1]\n",
+ " \n",
+ " pass # your code here\n",
+ "\n",
+ "print(fibonacci_numbers())"
],
"execution_count": 0,
"outputs": []
@@ -1834,7 +1888,11 @@
"colab": {}
},
"source": [
- ""
+ "def reverse_string(str):\n",
+ "\n",
+ " pass # your code here\n",
+ "\n",
+ "print(reverse_string('Friday'))"
],
"execution_count": 0,
"outputs": []
@@ -1857,11 +1915,37 @@
"colab": {}
},
"source": [
- ""
+ "def reverse_words(str):\n",
+ "\n",
+ " pass # your code here\n",
+ "\n",
+ "str1 = 'Tom chases Jerry'\n",
+ "print(reverse_words(str1))"
],
"execution_count": 0,
"outputs": []
},
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "62OQOTQs0k5K",
+ "colab_type": "text"
+ },
+ "source": [
+ "6. Given a list of stock records, find out the total number of shares for each stock.\n",
+ "\n",
+ "Symbol, Price, Shares
\n",
+ "IBM, 142.3, 50
\n",
+ "MSFT, 170.21, 100
\n",
+ "GOOG, 1469.32, 15
\n",
+ "IBM, 142.3, 20
\n",
+ "C, 74.78, 100
\n",
+ "CAT, 133.73, 80
\n",
+ "C, 74.78, 200
\n",
+ "GOOG, 1469.32, 7
\n",
+ "C, 74.78, 80
"
+ ]
+ },
{
"cell_type": "code",
"metadata": {
@@ -1874,6 +1958,40 @@
],
"execution_count": 0,
"outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "hi5vnh-p8J1Y",
+ "colab_type": "text"
+ },
+ "source": [
+ "7. Given a list of stock buy/sell records, find out net values for each stock, and the total net value\n",
+ "\n",
+ "Symbol, Price, Shares, Buy/Sell
\n",
+ "IBM, 142.3, 50, Buy
\n",
+ "MSFT, 170.21, 100, Buy
\n",
+ "GOOG, 1469.32, 15, Buy
\n",
+ "IBM, 142.3, 20, Sell
\n",
+ "C, 74.78, 100, Buy
\n",
+ "CAT, 133.73, 80, Buy
\n",
+ "C, 74.78, 200, Buy
\n",
+ "GOOG, 1469.32, 7, Sell
\n",
+ "C, 74.78, 80, Sell
"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "metadata": {
+ "id": "IHOG8kbF8ucE",
+ "colab_type": "code",
+ "colab": {}
+ },
+ "source": [
+ ""
+ ],
+ "execution_count": 0,
+ "outputs": []
}
]
}
\ No newline at end of file