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Added Unpacking variables notebook file
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Diff for: ‎Unpacking Variables.ipynb

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{
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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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"# Packing & Unpacking Variables"
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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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"### Assign variables\n",
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"In Python you can assign multiple variables at a time using commas."
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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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"1\n",
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"2\n",
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"3\n"
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]
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}
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],
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"source": [
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"a, b, c = 1, 2, 3\n",
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"print(a)\n",
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"print(b)\n",
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"print(c)"
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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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"### Swap a pair of Variables in Python\n",
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"x,y = y,x"
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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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"x=12, y=5\n"
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]
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}
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],
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"source": [
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"x = 5; y = 12\n",
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"x, y = y, x\n",
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"print('x=' + str(x) + ', y=' + str(y))"
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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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"### Swap a trio of Variables in Python\n",
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"Yes, this trick works for 3 variables too."
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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": 3,
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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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"88 99 77\n"
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]
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}
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],
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"source": [
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"x, y, z = 77, 88, 99\n",
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"z, x, y = x, y, z\n",
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"print(x, y, z)"
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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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"### Split String into multiple variables\n",
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"But be careful because the number of variables must match the number of substrings from the split."
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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": 4,
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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\n",
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"5\n",
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"6\n"
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]
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}
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],
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"source": [
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"a, b, c = '4 5 6'.split()\n",
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"print(a)\n",
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"print(b)\n",
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"print(c)"
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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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"### Splitting a List into variables is magically easy"
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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": 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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"8\n",
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"9\n",
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"10\n"
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]
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}
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],
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"source": [
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"my_list = [8, 9, 10]\n",
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"a, b, c = my_list\n",
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"print(a)\n",
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"print(b)\n",
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"print(c)"
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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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"### Split Tuple into variables"
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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": 6,
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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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"25 26 27\n"
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]
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}
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],
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"source": [
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"tup = (25,26,27)\n",
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"x, y, z = tup\n",
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"print(x, y, z)"
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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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"### This gives you a Tuple, not a 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": 7,
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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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"(8, 9, 10)\n",
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"<class 'tuple'>\n"
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]
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}
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],
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"source": [
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"var = a, b, c\n",
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"print(var)\n",
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"print(type(var))"
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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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"### *args for Functions\n",
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"Used for passing a non-keyworded, variable-length argument list to a function. \n",
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"Received as a Tuple."
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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": 8,
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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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"('Forest', 'Hill', 'High')\n",
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"<class 'tuple'>\n"
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]
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}
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],
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"source": [
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"def pack_it(*args):\n",
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" print(args)\n",
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" print(type(args))\n",
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" \n",
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"x = 'Forest'; y = 'Hill'; z = 'High'\n",
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"pack_it(x, y, z)"
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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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"This unpacks the List before sending it, so it can be received by the function as separate variables."
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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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"Cullen\n",
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"McDonough\n"
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]
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}
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],
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"source": [
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"def unpack_it(x, y):\n",
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" print(x)\n",
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" print(y)\n",
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" \n",
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"args = ['Cullen', 'McDonough']\n",
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"unpack_it(*args)"
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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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"### **kwargs for Functions\n",
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"Used for passing keyworded, variable-length argument dictionary to functions. \n",
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"This works, but it's kinda annoying because some normal Python dictionaries fail. \n",
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"func (1:'Edsel', 2:'Betamax') does not work."
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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": 10,
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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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"{'a': 'Edsel', 'b': 'Betamax', 'c': 'mGaetz'}\n",
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"Edsel\n",
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"<class 'dict'>\n"
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]
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}
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],
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"source": [
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"def func(**losers):\n",
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" print(losers)\n",
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" print(losers['a'])\n",
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" print(type(losers))\n",
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" \n",
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"func(a='Edsel', b='Betamax', c='mGaetz')"
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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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"This works, but it's kinda annoying because you have to use strings for the keys, so some normal Python dictionaries will give you an error. {1:'Edsel', 2:'Betamax'} fails."
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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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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Edsel\n"
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]
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}
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],
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"source": [
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"def func(a, b, c):\n",
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" print(a)\n",
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"\n",
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"losers = {'a':'Edsel', 'b':'Betamax', 'c':'mGaetz'}\n",
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"func(**losers)"
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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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"outputs": [],
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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": "3.7.0"
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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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