Skip to content

Commit 7243941

Browse files
Paul HarnagelPaul Harnagel
Paul Harnagel
authored and
Paul Harnagel
committed
Added in video exercises
These exercises already have hundreds of views. We hope they are helpful to the other learners.
1 parent 59a33f0 commit 7243941

File tree

17 files changed

+438
-381
lines changed

17 files changed

+438
-381
lines changed

‎01_Getting_&_Knowing_Your_Data/World Food Facts/Exercises_with_solutions.ipynb

+30-36
Original file line numberDiff line numberDiff line change
@@ -4,7 +4,8 @@
44
"cell_type": "markdown",
55
"metadata": {},
66
"source": [
7-
"# Ex1 - Getting and knowing your Data"
7+
"# Ex1 - Getting and knowing your Data\n",
8+
"Check out [World Food Facts Exercises Video Tutorial](https://youtu.be/_jCSK4cMcVw) to watch a data scientist go through the exercises"
89
]
910
},
1011
{
@@ -43,9 +44,7 @@
4344
{
4445
"cell_type": "code",
4546
"execution_count": 3,
46-
"metadata": {
47-
"collapsed": false
48-
},
47+
"metadata": {},
4948
"outputs": [
5049
{
5150
"name": "stderr",
@@ -70,9 +69,7 @@
7069
{
7170
"cell_type": "code",
7271
"execution_count": 4,
73-
"metadata": {
74-
"collapsed": false
75-
},
72+
"metadata": {},
7673
"outputs": [
7774
{
7875
"data": {
@@ -303,9 +300,7 @@
303300
{
304301
"cell_type": "code",
305302
"execution_count": 5,
306-
"metadata": {
307-
"collapsed": false
308-
},
303+
"metadata": {},
309304
"outputs": [
310305
{
311306
"data": {
@@ -325,9 +320,7 @@
325320
{
326321
"cell_type": "code",
327322
"execution_count": 6,
328-
"metadata": {
329-
"collapsed": false
330-
},
323+
"metadata": {},
331324
"outputs": [
332325
{
333326
"data": {
@@ -354,9 +347,7 @@
354347
{
355348
"cell_type": "code",
356349
"execution_count": 7,
357-
"metadata": {
358-
"collapsed": false
359-
},
350+
"metadata": {},
360351
"outputs": [
361352
{
362353
"name": "stdout",
@@ -391,9 +382,7 @@
391382
{
392383
"cell_type": "code",
393384
"execution_count": 8,
394-
"metadata": {
395-
"collapsed": false
396-
},
385+
"metadata": {},
397386
"outputs": [
398387
{
399388
"data": {
@@ -429,9 +418,7 @@
429418
{
430419
"cell_type": "code",
431420
"execution_count": 9,
432-
"metadata": {
433-
"collapsed": false
434-
},
421+
"metadata": {},
435422
"outputs": [
436423
{
437424
"data": {
@@ -458,9 +445,7 @@
458445
{
459446
"cell_type": "code",
460447
"execution_count": 10,
461-
"metadata": {
462-
"collapsed": false
463-
},
448+
"metadata": {},
464449
"outputs": [
465450
{
466451
"data": {
@@ -487,9 +472,7 @@
487472
{
488473
"cell_type": "code",
489474
"execution_count": 11,
490-
"metadata": {
491-
"collapsed": false
492-
},
475+
"metadata": {},
493476
"outputs": [
494477
{
495478
"data": {
@@ -516,9 +499,7 @@
516499
{
517500
"cell_type": "code",
518501
"execution_count": 13,
519-
"metadata": {
520-
"collapsed": false
521-
},
502+
"metadata": {},
522503
"outputs": [
523504
{
524505
"data": {
@@ -539,21 +520,34 @@
539520
"metadata": {
540521
"anaconda-cloud": {},
541522
"kernelspec": {
542-
"display_name": "Python [conda root]",
523+
"display_name": "Python 3",
543524
"language": "python",
544-
"name": "conda-root-py"
525+
"name": "python3"
545526
},
546527
"language_info": {
547528
"codemirror_mode": {
548529
"name": "ipython",
549-
"version": 2
530+
"version": 3
550531
},
551532
"file_extension": ".py",
552533
"mimetype": "text/x-python",
553534
"name": "python",
554535
"nbconvert_exporter": "python",
555-
"pygments_lexer": "ipython2",
556-
"version": "2.7.12"
536+
"pygments_lexer": "ipython3",
537+
"version": "3.7.3"
538+
},
539+
"toc": {
540+
"base_numbering": 1,
541+
"nav_menu": {},
542+
"number_sections": true,
543+
"sideBar": true,
544+
"skip_h1_title": false,
545+
"title_cell": "Table of Contents",
546+
"title_sidebar": "Contents",
547+
"toc_cell": false,
548+
"toc_position": {},
549+
"toc_section_display": true,
550+
"toc_window_display": false
557551
}
558552
},
559553
"nbformat": 4,

‎02_Filtering_&_Sorting/Chipotle/Exercises_with_solutions.ipynb

+17-2
Original file line numberDiff line numberDiff line change
@@ -4,7 +4,9 @@
44
"cell_type": "markdown",
55
"metadata": {},
66
"source": [
7-
"# Ex1 - Filtering and Sorting Data"
7+
"# Ex1 - Filtering and Sorting Data\n",
8+
"\n",
9+
"Check out [Chipotle Exercises Video Tutorial](https://youtu.be/ZZPiWZpdekA) to watch a data scientist go through the exercises"
810
]
911
},
1012
{
@@ -2212,7 +2214,20 @@
22122214
"name": "python",
22132215
"nbconvert_exporter": "python",
22142216
"pygments_lexer": "ipython3",
2215-
"version": "3.7.4"
2217+
"version": "3.7.3"
2218+
},
2219+
"toc": {
2220+
"base_numbering": 1,
2221+
"nav_menu": {},
2222+
"number_sections": true,
2223+
"sideBar": true,
2224+
"skip_h1_title": false,
2225+
"title_cell": "Table of Contents",
2226+
"title_sidebar": "Contents",
2227+
"toc_cell": false,
2228+
"toc_position": {},
2229+
"toc_section_display": true,
2230+
"toc_window_display": false
22162231
}
22172232
},
22182233
"nbformat": 4,

‎02_Filtering_&_Sorting/Euro12/Exercises_with_Solutions.ipynb

+33-44
Original file line numberDiff line numberDiff line change
@@ -4,7 +4,8 @@
44
"cell_type": "markdown",
55
"metadata": {},
66
"source": [
7-
"# Ex2 - Filtering and Sorting Data"
7+
"# Ex2 - Filtering and Sorting Data\n",
8+
"Check out [Euro 12 Exercises Video Tutorial](https://youtu.be/iqk5d48Qisg) to watch a data scientist go through the exercises"
89
]
910
},
1011
{
@@ -19,9 +20,7 @@
1920
{
2021
"cell_type": "code",
2122
"execution_count": 2,
22-
"metadata": {
23-
"collapsed": false
24-
},
23+
"metadata": {},
2524
"outputs": [],
2625
"source": [
2726
"import pandas as pd"
@@ -44,9 +43,7 @@
4443
{
4544
"cell_type": "code",
4645
"execution_count": 3,
47-
"metadata": {
48-
"collapsed": false
49-
},
46+
"metadata": {},
5047
"outputs": [
5148
{
5249
"data": {
@@ -583,9 +580,7 @@
583580
{
584581
"cell_type": "code",
585582
"execution_count": 37,
586-
"metadata": {
587-
"collapsed": false
588-
},
583+
"metadata": {},
589584
"outputs": [
590585
{
591586
"data": {
@@ -628,9 +623,7 @@
628623
{
629624
"cell_type": "code",
630625
"execution_count": 43,
631-
"metadata": {
632-
"collapsed": false
633-
},
626+
"metadata": {},
634627
"outputs": [
635628
{
636629
"data": {
@@ -657,9 +650,7 @@
657650
{
658651
"cell_type": "code",
659652
"execution_count": 44,
660-
"metadata": {
661-
"collapsed": false
662-
},
653+
"metadata": {},
663654
"outputs": [
664655
{
665656
"name": "stdout",
@@ -722,9 +713,7 @@
722713
{
723714
"cell_type": "code",
724715
"execution_count": 82,
725-
"metadata": {
726-
"collapsed": false
727-
},
716+
"metadata": {},
728717
"outputs": [
729718
{
730719
"data": {
@@ -883,7 +872,6 @@
883872
"cell_type": "code",
884873
"execution_count": 56,
885874
"metadata": {
886-
"collapsed": false,
887875
"scrolled": true
888876
},
889877
"outputs": [
@@ -1040,9 +1028,7 @@
10401028
{
10411029
"cell_type": "code",
10421030
"execution_count": 55,
1043-
"metadata": {
1044-
"collapsed": false
1045-
},
1031+
"metadata": {},
10461032
"outputs": [
10471033
{
10481034
"data": {
@@ -1069,9 +1055,7 @@
10691055
{
10701056
"cell_type": "code",
10711057
"execution_count": 57,
1072-
"metadata": {
1073-
"collapsed": false
1074-
},
1058+
"metadata": {},
10751059
"outputs": [
10761060
{
10771061
"data": {
@@ -1201,9 +1185,7 @@
12011185
{
12021186
"cell_type": "code",
12031187
"execution_count": 66,
1204-
"metadata": {
1205-
"collapsed": false
1206-
},
1188+
"metadata": {},
12071189
"outputs": [
12081190
{
12091191
"data": {
@@ -1333,9 +1315,7 @@
13331315
{
13341316
"cell_type": "code",
13351317
"execution_count": 84,
1336-
"metadata": {
1337-
"collapsed": false
1338-
},
1318+
"metadata": {},
13391319
"outputs": [
13401320
{
13411321
"data": {
@@ -1579,9 +1559,7 @@
15791559
{
15801560
"cell_type": "code",
15811561
"execution_count": 86,
1582-
"metadata": {
1583-
"collapsed": false
1584-
},
1562+
"metadata": {},
15851563
"outputs": [
15861564
{
15871565
"data": {
@@ -2119,9 +2097,7 @@
21192097
{
21202098
"cell_type": "code",
21212099
"execution_count": 89,
2122-
"metadata": {
2123-
"collapsed": false
2124-
},
2100+
"metadata": {},
21252101
"outputs": [
21262102
{
21272103
"data": {
@@ -2177,23 +2153,36 @@
21772153
"metadata": {
21782154
"anaconda-cloud": {},
21792155
"kernelspec": {
2180-
"display_name": "Python [default]",
2156+
"display_name": "Python 3",
21812157
"language": "python",
2182-
"name": "python2"
2158+
"name": "python3"
21832159
},
21842160
"language_info": {
21852161
"codemirror_mode": {
21862162
"name": "ipython",
2187-
"version": 2
2163+
"version": 3
21882164
},
21892165
"file_extension": ".py",
21902166
"mimetype": "text/x-python",
21912167
"name": "python",
21922168
"nbconvert_exporter": "python",
2193-
"pygments_lexer": "ipython2",
2194-
"version": "2.7.12"
2169+
"pygments_lexer": "ipython3",
2170+
"version": "3.7.3"
2171+
},
2172+
"toc": {
2173+
"base_numbering": 1,
2174+
"nav_menu": {},
2175+
"number_sections": true,
2176+
"sideBar": true,
2177+
"skip_h1_title": false,
2178+
"title_cell": "Table of Contents",
2179+
"title_sidebar": "Contents",
2180+
"toc_cell": false,
2181+
"toc_position": {},
2182+
"toc_section_display": true,
2183+
"toc_window_display": false
21952184
}
21962185
},
21972186
"nbformat": 4,
2198-
"nbformat_minor": 0
2187+
"nbformat_minor": 1
21992188
}

0 commit comments

Comments
 (0)