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complete warmup in lecture 46
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3 files changed

+153
-63
lines changed

‎00-Python Object and Data Structure Basics/02-Strings.ipynb

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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": "3.6.2"
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"version": "3.6.3"
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}
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},
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"nbformat": 4,

‎03-Methods and Functions/.ipynb_checkpoints/03-Function Practice Exercises-checkpoint.ipynb

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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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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"def lesser_of_two_evens(a,b):\n",
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" pass"
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" if (a%2 == 0 and b%2 == 0):\n",
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" if (a>b):\n",
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" return b\n",
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" else:\n",
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" return a\n",
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" else:\n",
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" if (a>b):\n",
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" return a\n",
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" else:\n",
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" return b"
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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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"execution_count": 2,
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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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"2"
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]
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},
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"execution_count": 2,
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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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"# Check\n",
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"lesser_of_two_evens(2,4)"
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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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"execution_count": 3,
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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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"5"
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]
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},
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"execution_count": 3,
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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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"# Check\n",
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"lesser_of_two_evens(2,5)"
@@ -76,35 +101,55 @@
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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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"execution_count": 7,
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"metadata": {},
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"outputs": [],
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"source": [
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"def animal_crackers(text):\n",
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" pass"
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" li = text.split()\n",
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" if (li[0][0] == li[1][0]):\n",
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" return True\n",
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" else:\n",
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" return False"
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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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"execution_count": 8,
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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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"True"
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]
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},
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"execution_count": 8,
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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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"# Check\n",
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"animal_crackers('Levelheaded Llama')"
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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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"execution_count": 9,
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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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"False"
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]
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},
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"execution_count": 9,
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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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"# Check\n",
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"animal_crackers('Crazy Kangaroo')"
@@ -707,7 +752,7 @@
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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": "3.6.2"
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"version": "3.6.3"
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}
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},
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"nbformat": 4,

‎03-Methods and Functions/03-Function Practice Exercises.ipynb

Lines changed: 76 additions & 31 deletions
Original file line numberDiff line numberDiff line change
@@ -31,35 +31,60 @@
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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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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
4038
"def lesser_of_two_evens(a,b):\n",
41-
" pass"
39+
" if (a%2 == 0 and b%2 == 0):\n",
40+
" if (a>b):\n",
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" return b\n",
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" else:\n",
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" return a\n",
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" else:\n",
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" if (a>b):\n",
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" return a\n",
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" else:\n",
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" return b"
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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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"execution_count": 2,
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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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"2"
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]
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},
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"execution_count": 2,
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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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"# Check\n",
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"lesser_of_two_evens(2,4)"
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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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"execution_count": 3,
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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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"5"
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]
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},
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"execution_count": 3,
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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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"# Check\n",
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"lesser_of_two_evens(2,5)"
@@ -76,35 +101,55 @@
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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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"execution_count": 7,
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"metadata": {},
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"outputs": [],
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"source": [
85108
"def animal_crackers(text):\n",
86-
" pass"
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" li = text.split()\n",
110+
" if (li[0][0] == li[1][0]):\n",
111+
" return True\n",
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" else:\n",
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" return False"
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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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"execution_count": 8,
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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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"True"
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]
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},
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"execution_count": 8,
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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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"# Check\n",
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"animal_crackers('Levelheaded Llama')"
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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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"execution_count": 9,
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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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"False"
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]
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},
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"execution_count": 9,
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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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"# Check\n",
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"animal_crackers('Crazy Kangaroo')"
@@ -707,7 +752,7 @@
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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": "3.6.2"
755+
"version": "3.6.3"
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}
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},
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"nbformat": 4,

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