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Merged
guipsamora merged 1 commit into from
Sep 18, 2020
Merged

Added in video tutorials for the exercises #107

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66 changes: 30 additions & 36 deletions 01_Getting_&_Knowing_Your_Data/World Food Facts/Exercises_with_solutions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,8 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"# Ex1 - Getting and knowing your Data"
"# Ex1 - Getting and knowing your Data\n",
"Check out [World Food Facts Exercises Video Tutorial](https://youtu.be/_jCSK4cMcVw) to watch a data scientist go through the exercises"
]
},
{
Expand Down Expand Up @@ -43,9 +44,7 @@
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"name": "stderr",
Expand All @@ -70,9 +69,7 @@
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand Down Expand Up @@ -303,9 +300,7 @@
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand All @@ -325,9 +320,7 @@
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand All @@ -354,9 +347,7 @@
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"name": "stdout",
Expand Down Expand Up @@ -391,9 +382,7 @@
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand Down Expand Up @@ -429,9 +418,7 @@
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
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},
"metadata": {},
"outputs": [
{
"data": {
Expand All @@ -458,9 +445,7 @@
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand All @@ -487,9 +472,7 @@
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand All @@ -516,9 +499,7 @@
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
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},
"metadata": {},
"outputs": [
{
"data": {
Expand All @@ -539,21 +520,34 @@
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python [conda root]",
"display_name": "Python 3",
"language": "python",
"name": "conda-root-py"
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.12"
"pygments_lexer": "ipython3",
"version": "3.7.3"
},
"toc": {
"base_numbering": 1,
"nav_menu": {},
"number_sections": true,
"sideBar": true,
"skip_h1_title": false,
"title_cell": "Table of Contents",
"title_sidebar": "Contents",
"toc_cell": false,
"toc_position": {},
"toc_section_display": true,
"toc_window_display": false
}
},
"nbformat": 4,
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19 changes: 17 additions & 2 deletions 02_Filtering_&_Sorting/Chipotle/Exercises_with_solutions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,9 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"# Ex1 - Filtering and Sorting Data"
"# Ex1 - Filtering and Sorting Data\n",
"\n",
"Check out [Chipotle Exercises Video Tutorial](https://youtu.be/ZZPiWZpdekA) to watch a data scientist go through the exercises"
]
},
{
Expand Down Expand Up @@ -2212,7 +2214,20 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.4"
"version": "3.7.3"
},
"toc": {
"base_numbering": 1,
"nav_menu": {},
"number_sections": true,
"sideBar": true,
"skip_h1_title": false,
"title_cell": "Table of Contents",
"title_sidebar": "Contents",
"toc_cell": false,
"toc_position": {},
"toc_section_display": true,
"toc_window_display": false
}
},
"nbformat": 4,
Expand Down
77 changes: 33 additions & 44 deletions 02_Filtering_&_Sorting/Euro12/Exercises_with_Solutions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,8 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"# Ex2 - Filtering and Sorting Data"
"# Ex2 - Filtering and Sorting Data\n",
"Check out [Euro 12 Exercises Video Tutorial](https://youtu.be/iqk5d48Qisg) to watch a data scientist go through the exercises"
]
},
{
Expand All @@ -19,9 +20,7 @@
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd"
Expand All @@ -44,9 +43,7 @@
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand Down Expand Up @@ -583,9 +580,7 @@
{
"cell_type": "code",
"execution_count": 37,
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"collapsed": false
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"metadata": {},
"outputs": [
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"data": {
Expand Down Expand Up @@ -628,9 +623,7 @@
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
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"metadata": {},
"outputs": [
{
"data": {
Expand All @@ -657,9 +650,7 @@
{
"cell_type": "code",
"execution_count": 44,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"name": "stdout",
Expand Down Expand Up @@ -722,9 +713,7 @@
{
"cell_type": "code",
"execution_count": 82,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand Down Expand Up @@ -883,7 +872,6 @@
"cell_type": "code",
"execution_count": 56,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
Expand Down Expand Up @@ -1040,9 +1028,7 @@
{
"cell_type": "code",
"execution_count": 55,
"metadata": {
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},
"metadata": {},
"outputs": [
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Expand All @@ -1069,9 +1055,7 @@
{
"cell_type": "code",
"execution_count": 57,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
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Expand Down Expand Up @@ -1201,9 +1185,7 @@
{
"cell_type": "code",
"execution_count": 66,
"metadata": {
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"metadata": {},
"outputs": [
{
"data": {
Expand Down Expand Up @@ -1333,9 +1315,7 @@
{
"cell_type": "code",
"execution_count": 84,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand Down Expand Up @@ -1579,9 +1559,7 @@
{
"cell_type": "code",
"execution_count": 86,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand Down Expand Up @@ -2119,9 +2097,7 @@
{
"cell_type": "code",
"execution_count": 89,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand Down Expand Up @@ -2177,23 +2153,36 @@
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python [default]",
"display_name": "Python 3",
"language": "python",
"name": "python2"
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"name": "ipython",
"version": 2
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
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"pygments_lexer": "ipython2",
"version": "2.7.12"
"pygments_lexer": "ipython3",
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"toc": {
"base_numbering": 1,
"nav_menu": {},
"number_sections": true,
"sideBar": true,
"skip_h1_title": false,
"title_cell": "Table of Contents",
"title_sidebar": "Contents",
"toc_cell": false,
"toc_position": {},
"toc_section_display": true,
"toc_window_display": false
}
},
"nbformat": 4,
"nbformat_minor": 0
"nbformat_minor": 1
}
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