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Updated Python Basics Tuple tutorial for post video.
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‎Python_Basics/Intro/PythonBasicsTuples.ipynb‎

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"A tuple is a sequence of immutable Python objects. Tuples are sequences, just like lists. The differences between tuples and lists are, the tuples cannot be changed unlike lists and tuples use parentheses, whereas lists use square brackets."
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"Tuples are sequences, just like lists. The differences between tuples and lists are, the tuples cannot be changed (immutable) unlike lists (mutable). <br> Tuples use parentheses, whereas lists use square brackets."
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]
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},
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{
@@ -23,37 +23,55 @@
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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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"collapsed": true
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},
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"execution_count": 17,
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"metadata": {},
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"outputs": [],
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"source": [
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"# empty tuple written as two parentheses containing nothing\n",
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"tup1 = (); "
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"tup1 = (); \n",
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"\n",
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"# empty list\n",
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"list1 = []"
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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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"collapsed": true
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},
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"outputs": [],
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"execution_count": 84,
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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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"tuple"
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]
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},
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"execution_count": 84,
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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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"# To write a tuple containing a single value you have to include a comma, even though there is only one value\n",
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"tup1 = (50,);"
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"tup1 = 50, ;\n",
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"type(tup1)"
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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": 22,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"execution_count": 85,
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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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"<type 'tuple'>\n"
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]
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}
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],
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"source": [
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"tup1 = 'Please', 'Subscribe';\n",
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"print(type(tup1))\n",
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"tup2 = ('pretty please', );\n",
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"tup3 = \"a\", \"b\", \"c\", \"d\";"
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]
@@ -84,18 +102,16 @@
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"metadata": {
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"collapsed": false
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},
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"execution_count": 75,
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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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"('a', 'b', 'c', 'd')"
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]
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},
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"execution_count": 24,
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"execution_count": 75,
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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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"cell_type": "code",
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"execution_count": 25,
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"metadata": {
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"collapsed": false
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},
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"metadata": {},
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"outputs": [
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{
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"data": {
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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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"collapsed": false
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},
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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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"data": {
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"text/plain": [
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"('a', 'b', 'c')"
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]
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},
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"execution_count": 26,
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"execution_count": 12,
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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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{
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"cell_type": "code",
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"execution_count": 27,
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"metadata": {
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"collapsed": false
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},
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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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"data": {
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"text/plain": [
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"('b', 'c', 'd')"
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]
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},
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"execution_count": 27,
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"execution_count": 13,
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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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"cell_type": "code",
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"execution_count": 35,
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"metadata": {
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"collapsed": false
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},
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"metadata": {},
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"outputs": [
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{
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"data": {
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},
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{
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"cell_type": "code",
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"execution_count": 36,
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"metadata": {
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"collapsed": false
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},
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"execution_count": 86,
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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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"('Please', 'Subscribe')"
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]
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},
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"execution_count": 36,
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"execution_count": 86,
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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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{
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"cell_type": "code",
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"execution_count": 37,
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"metadata": {
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"collapsed": false
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},
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"execution_count": 87,
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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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"('pretty please',)"
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]
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},
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"execution_count": 37,
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"execution_count": 87,
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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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{
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"cell_type": "code",
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"execution_count": 38,
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"metadata": {
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"collapsed": false
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},
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"execution_count": 88,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
@@ -296,28 +298,24 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"tuples are useful for sequence unpacking <br>\n",
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"if you some data you know you dont want to change, use tuples <br>\n",
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"generated faster and iterated faster than a python list"
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"tuples are useful for sequence unpacking <br>"
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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": 41,
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"metadata": {
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"collapsed": false
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},
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"execution_count": 92,
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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 of x , y : 7 10\n"
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"('Value of x , y : ', 7, 10)\n"
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]
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}
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],
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"source": [
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"x, y = 7, 10;\n",
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"x, y = (7, 10);\n",
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"print(\"Value of x , y : \", x, y)"
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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": 43,
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"metadata": {
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"collapsed": false
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},
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"execution_count": 47,
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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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"0 steve\n",
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"1 rachel\n",
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"2 michael\n",
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"3 adam\n",
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"4 monica\n"
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"(0, 'steve')\n",
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"(1, 'rachel')\n",
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"(2, 'michael')\n",
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"(3, 'adam')\n",
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"(4, 'monica')\n"
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]
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}
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],
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"source": [
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"friends = ['steve', 'rachel', 'michael', 'adam', 'monica']\n",
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"friends = ('steve', 'rachel', 'michael', 'adam', 'monica')\n",
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"for index, friend in enumerate(friends):\n",
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" print(index,friend)"
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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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"Fibonacci sequence is an integer sequence characterized by the fact that every number after the first two is the sum of the two preceding one. By definition, the first two numbers in the Fibonacci sequence are either 1 and 1 (<b>which is how I like to code it</b>), or 0 and 1, depending on the chosen starting point of the sequence, and each subsequent number is the sum of the previous two."
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"Fibonacci sequence is an integer sequence characterized by the fact that every number after the first two is the sum of the two preceding ones. By definition, the first two numbers in the Fibonacci sequence are either 1 and 1 (<b>which is how I like to code it</b>), or 0 and 1, depending on the chosen starting point of the sequence, and each subsequent number is the sum of the previous two."
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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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"collapsed": false
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},
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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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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"collapsed": false
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},
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"execution_count": 24,
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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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"1\n",
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"2\n",
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"3\n",
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"5\n",
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"8\n",
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"13\n",
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"21\n",
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"34\n",
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"55\n"
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"('Fib(a): ', 1, 'b is: ', 1)\n",
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"('Fib(a): ', 1, 'b is: ', 2)\n",
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"('Fib(a): ', 2, 'b is: ', 3)\n",
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"('Fib(a): ', 3, 'b is: ', 5)\n",
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"('Fib(a): ', 5, 'b is: ', 8)\n",
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"('Fib(a): ', 8, 'b is: ', 13)\n",
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"('Fib(a): ', 13, 'b is: ', 21)\n",
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"('Fib(a): ', 21, 'b is: ', 34)\n",
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"('Fib(a): ', 34, 'b is: ', 55)\n",
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"('Fib(a): ', 55, 'b is: ', 89)\n"
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]
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}
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],
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"source": [
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"# Note, there are better ways to code this which I will go over in later videos\n",
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"a,b = 1,1\n",
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"for i in range(10):\n",
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" print(a)\n",
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" print(\"Fib(a): \", a, \"b is: \", b)\n",
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" a,b = b,a+b "
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]
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},
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"metadata": {
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"anaconda-cloud": {},
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"kernelspec": {
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"display_name": "Python [conda env:py36]",
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"display_name": "Python 2",
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"language": "python",
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"name": "conda-env-py36-py"
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"name": "python2"
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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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"version": 2
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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": "3.6.1"
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"pygments_lexer": "ipython2",
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"version": "2.7.13"
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}
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},
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"nbformat": 4,

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