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sijantechsijantech
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function / generators / decorators lesson added
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‎.ipynb_checkpoints/11. Control Structures and list comprehensions-checkpoint.ipynb‎

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{
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"cells": [],
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"metadata": {},
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### 1. WHILE STATEMENT"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"counter is 1\n",
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"counter is 2\n",
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"counter is 3\n",
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"counter is 4\n",
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"counter is 5\n",
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"counter is 6\n",
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"counter is 7\n",
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"counter is 8\n"
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]
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}
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],
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"source": [
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"done = False\n",
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"counter = 1\n",
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"\n",
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"while counter <= 10 and not done:\n",
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" print('counter is', counter)\n",
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" if counter == 8:\n",
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" done = True\n",
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" counter += 1"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### 2. FOR STATEMENT"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"23\n",
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"45\n",
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"67\n",
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"89\n"
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]
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}
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],
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"source": [
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"for item in [23,45,67,89]:\n",
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" print(item)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### NOTE:\n",
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" - If you need to access index of given data, you can use enumerate"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"value at index 0 is 23\n",
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"value at index 1 is 45\n",
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"value at index 2 is 67\n",
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"value at index 3 is 89\n"
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]
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}
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],
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"source": [
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"for index, item in enumerate([23, 45,67,89]):\n",
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" print('value at index %s is %s'%( index, item))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### 2.1 ZIP\n",
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" - ```zip``` is a built-in function used for combining iterables"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"('ricki', 34) <class 'tuple'>\n",
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"('dikki', 56) <class 'tuple'>\n"
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]
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}
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],
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"source": [
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"names = ['ricki', 'dikki', 'tikki', 'mikki']\n",
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"ages = [34,56]\n",
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"for i in zip(names, ages):\n",
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" print(i, type(i))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### 3. COMPREHENSION\n",
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" - filtering iterable with some condition to create new iterable"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[4, 256, 46656, 16777216]\n"
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]
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}
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],
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"source": [
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"# we need a square of a list in another list\n",
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"\n",
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"# TRADITIONAL WAY\n",
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"list_1 = [2,4,6,8]\n",
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"square_list = []\n",
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"for item in list_1:\n",
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" square_list.append(item**item)\n",
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"\n",
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"print(square_list)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[4, 256, 46656, 16777216]\n"
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]
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}
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],
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"source": [
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"# USING LIST COMPREHENSION\n",
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"square_list_comp = [item**item for item in list_1]\n",
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"print(square_list_comp)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"{42, 22, 30}\n",
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"{11: 22, 21: 42, 15: 30}\n"
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]
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}
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],
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"source": [
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"# comprehension\n",
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"\n",
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"numbers = [11, 15, 21]\n",
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"\n",
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"doubles_set = {2 * number for number in numbers}\n",
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"print(doubles_set)\n",
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"\n",
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"# a dict comprehension which uses the number as the key and the doubled number as the value\n",
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"doubles_dict = {number: 2 * number for number in numbers}\n",
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"print(doubles_dict)\n",
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" \n",
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" "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{1: 1,\n",
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" 2: 4,\n",
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" 3: 27,\n",
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" 4: 256,\n",
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" 5: 3125,\n",
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" 6: 46656,\n",
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" 7: 823543,\n",
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" 8: 16777216,\n",
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" 9: 387420489,\n",
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" 10: 10000000000,\n",
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" 11: 285311670611,\n",
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" 12: 8916100448256,\n",
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" 13: 302875106592253,\n",
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" 14: 11112006825558016,\n",
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" 15: 437893890380859375}"
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]
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},
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"\n",
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"b = {key: key**key for key in range(1,16)}\n",
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"b"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Write a Python program to combine values in python list of dictionaries.\n",
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"\n",
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"Sample data: [{'item': 'item1', 'amount': 400}, {'item': 'item2', 'amount': 300}, {'item': 'item1', 'amount': 750}]\n",
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"Expected Output: Counter({'item1': 1150, 'item2': 300})\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"{'item1': 1150, 'item2': 300}\n"
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]
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}
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],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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