-
Notifications
You must be signed in to change notification settings - Fork 8
/
lessons2.json
700 lines (697 loc) · 19.7 KB
/
lessons2.json
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
{
"title": "Python for Everybody (PY4E)",
"description" : "Hello and welcome to my site where you learn Python even if you have no programming background.",
"count": true,
"badges": [
{
"title" : "Enrolled in Python for Everybody (PY4E)",
"image" : "00_hello_world.png",
"threshold" : "0.0",
"assignments" : [
]
},
{
"title" : "Introductory Python - Getting Started",
"threshold" : "0.8",
"image" : "badge_01_code.png",
"assignments" : [
"install",
"python2auto_01_hello",
"python2auto_02_03",
"python2auto_03_03",
"python2auto_04_06",
"python2auto_05_02"
]
},
{
"title" : "Python Data Structures",
"threshold" : "1.0",
"image" : "badge_02_data.png",
"assignments" : [
"python2auto_06_05",
"python2auto_07_02",
"python2auto_08_04",
"python2auto_08_05",
"python2auto_09_04",
"python2auto_10_02"
]
},
{
"title" : "Accessing Web and Network Data With Python",
"threshold" : "0.8",
"image" : "badge_03_network.png",
"assignments" : [
"pythondata_01_regex",
"pythondata_02_rrc",
"pythondata_03_html",
"pythondata_04_links",
"pythondata_05_xml",
"pythondata_06_json",
"pythondata_07_geo"
]
},
{
"title" : "Using Databases With Python",
"threshold" : "1.0",
"image" : "badge_04_database.png",
"assignments" : [
"pythonsql_01_single",
"pythonsql_02_email",
"pythonsql_03_tracks",
"pythonsql_04_many"
]
}
],
"other_courses": [
{
"title" : "Python for Everybody Specialization (Coursera)",
"href" : "https://www.coursera.org/specializations/python"
}
],
"modules": [
{
"title": "Installing Python",
"anchor": "install",
"icon" : "fa-bicycle",
"description": "The first task is to work through the installation steps including installing Python and text editor.",
"assignment" : "install.php",
"references" : [
{
"title" : "Setting up the PythonLearn Environment in Microsoft Windows",
"href" : "software-win.php"
},
{
"title" : "Setting up the PythonLearn Environment on a Macintosh",
"href" : "software-mac.php"
},
{
"title" : "Setting up the PythonLearn Environment on a Respberry Pi",
"href" : "software-mac.php"
}
],
"lti" : {
"title": "Peer Graded: Installation Screen Shots",
"launch" : "mod/peer-grade/index.php",
"resource_link_id": "install",
"custom" : [
{
"key": "config",
"json":
{
"title":"Peer Review: Installing and Running Python Screen Shots",
"description":"Install Python and a programming text editor and write a program that prints one line other than 'hello world', then take two screen shots and upload them below. You should use the command line to execute the Python program you wrote in the text editor. Please do *not* use the IDLE Python Shell, the Python Interpreter (>>>), or a shortcut in your text editor to run the code. Later in the class when we start reading files, we will need to be able to run Python programs from particular directories. See the videos for details.",
"grading":"This is a relatively simple assignment. The goal is to simply show that each student has Python installed on their desktop or laptop and can take screen shots. Please make your comments to help the student that you are reviewing.",
"assignment":"http://www.py4e.com/install",
"parts":[
{
"title":"Image of the program being edited in a text editor",
"type":"image"
},
{
"title":"Image of the program being executed in the command line or terminal",
"type":"image"
}
],
"totalpoints":10,
"minassess":2,
"assesspoints":2,
"instructorpoints":0,
"maxassess":8,
"peerpoints":6,
"flag":true,
"rating":0,
"gallery":"off",
"resubmit":"off",
"notepublic":"false",
"galleryformat":"card"
}
}
]
}
},
{
"title": "Why Program?",
"anchor": "intro",
"icon" : "fa-hand-o-right",
"description": "We learn why one might want to learn to program, and look at the basic issues with learning to program.",
"slides": "lectures3/Pythonlearn-01-Intro.pptx",
"chapters" : "1",
"videos" : [
{
"title" : "Why Program?",
"youtube" : "G721cooZXgs"
}
],
"lti" : {
"title" : "Autograder: Write Hello World",
"launch" : "tools/pythonauto/index.php",
"resource_link_id": "python2auto_01_hello",
"custom" : [
{
"key": "exercise",
"value": "hello"
}
]
}
},
{
"title": "Variables, expressions, and statements",
"anchor": "memory",
"icon" : "fa-database",
"description": "We learn how to make variables and store data in those variables.",
"slides": "lectures3/Pythonlearn-02-Expressions.pptx",
"chapters" : "2",
"videos" : [
{
"title" : "Variables, Expressions, and Statements",
"youtube" : "IXXHH6ztsSA"
},
{
"title" : "Worked Exercise: 2.2",
"youtube" : "e5ghuPdTdAM"
},
{
"title" : "Worked Exercise: 2.3",
"youtube" : "okYsmRNeWzI"
}
],
"lti" : {
"title" : "Autograder: Exercise 2.3",
"launch" : "tools/pythonauto/index.php",
"resource_link_id": "python2auto_02_03",
"custom" : [
{
"key": "exercise",
"value": "2.3"
}
]
}
},
{
"title": "Conditional Execution",
"anchor": "logic",
"icon" : "fa-diamond",
"description": "We look at how Python executes some statements and skips others.",
"slides": "lectures3/Pythonlearn-03-Conditional.pptx",
"chapters" : "3",
"videos" : [
{
"title" : "Conditional Execution",
"youtube" : "VXyRfgnzL2o"
},
{
"title" : "Worked Exercise 3.1",
"youtube" : "sBdvzOpFMjU"
},
{
"title" : "Worked Exercise 3.2",
"youtube" : "D6aVKVCWyfQ"
}
],
"lti" : {
"title" : "Autograder: Exercise 3.3",
"launch" : "tools/pythonauto/index.php",
"resource_link_id": "python2auto_03_03",
"custom" : [
{
"key": "exercise",
"value": "3.3"
}
]
}
},
{
"title": "Functions",
"anchor": "functions",
"icon" : "fa-files-o",
"description": "Take a brief look at how Python implements the 'store and use later' programming pattern.",
"slides": "lectures3/Pythonlearn-04-Functions.pptx",
"chapters" : "4",
"videos" : [
{
"title" : "Functions",
"youtube" : "Wdi6lhcrtBU"
},
{
"title" : "Worked Exercise 4.6",
"youtube" : "2y1zUVv1oRg"
}
],
"lti" : {
"title" : "Autograder: Exercise 4.6",
"launch" : "tools/pythonauto/index.php",
"resource_link_id": "python2auto_04_06",
"custom" : [
{
"key": "exercise",
"value": "4.6"
}
]
}
},
{
"title": "Loops and Iterations",
"anchor": "loops",
"icon" : "fa-gears",
"description": "We look at how Python repeats statements using looping structures.",
"slides": "lectures3/Pythonlearn-05-Iterations.ppt",
"chapters" : "5",
"videos" : [
{
"title" : "Loops and Iteration",
"youtube" : "6KgArgGi6Mk"
},
{
"title" : "Worked Exercise 5.1",
"youtube" : "sgKSR5GWD7s"
}
],
"lti" : {
"title" : "Autograder: Exercise 5.2",
"launch" : "tools/pythonauto/index.php",
"resource_link_id": "python2auto_05_02",
"custom" : [
{
"key": "exercise",
"value": "5.2"
}
]
}
},
{
"title": "Strings",
"anchor": "strings",
"icon" : "fa-file-text-o",
"description": "We look at how Python stores and manipulates textual data using string variables and functions.",
"slides": "lectures3/Pythonlearn-06-Strings.pptx",
"chapters" : "6",
"videos" : [
{
"title" : "Strings",
"youtube" : "L2IUSArpG98"
},
{
"title" : "Worked Exercise 6.7",
"youtube" : "eQfeb44QrR4"
}
],
"lti" : {
"title" : "Autograder: Exercise 6.5",
"resource_link_id": "python2auto_06_05",
"launch" : "tools/pythonauto/index.php",
"custom" : [
{
"key": "exercise",
"value": "6.5"
}
]
}
},
{
"title": "Files",
"anchor": "files",
"icon" : "fa-database",
"description": "We learn how to open data files on your computer and read through the files using Python.",
"slides": "lectures3/Pythonlearn-07-Files.pptx",
"chapters" : "7",
"videos" : [
{
"title" : "Reading Files",
"youtube" : "O0wE2M8-ois"
},
{
"title" : "Worked Exercise 7.3",
"youtube" : "7Is24nPkMcA"
}
],
"lti" : {
"title" : "Autograder: Exercise 7.2",
"launch" : "tools/pythonauto/index.php",
"resource_link_id": "python2auto_07_02",
"custom" : [
{
"key": "exercise",
"value": "7.2"
}
]
}
},
{
"title": "Lists",
"anchor": "lists",
"icon" : "fa-list-ol",
"description": "We look at Python's simplest data structure: the list. Lists can store more than one item in a variable.",
"slides": "lectures3/Pythonlearn-08-Lists.pptx",
"chapters" : "8",
"videos" : [
{
"title" : "Lists",
"youtube" : "nO8eU3uts0o"
},
{
"title" : "Worked Exercise - Lists",
"youtube" : "styw5-JOzrc"
}
],
"lti" : [
{
"title" : "Autograder: Exercise 8.4",
"launch" : "tools/pythonauto/index.php",
"resource_link_id": "python2auto_08_04",
"custom" : [
{
"key": "exercise",
"value": "8.4"
}
]
},
{
"title" : "Autograder: Exercise 8.5",
"launch" : "tools/pythonauto/index.php",
"resource_link_id": "python2auto_08_05",
"custom" : [
{
"key": "exercise",
"value": "8.5"
}
]
}
]
},
{
"title": "Dictionaries",
"anchor": "dictionary",
"icon" : "fa-key",
"description": "The dictionary data structures allows us to store multiple values in an object and look up the values by their key.",
"slides": "lectures3/Pythonlearn-09-Dictionaries.pptx",
"chapters" : "9",
"videos" : [
{
"title" : "Dictionaries",
"youtube" : "FS-WZWUlPlM"
},
{
"title" : "Worked Exercise - Dictionaries",
"youtube" : "3cwXN5_3K6Q"
}
],
"lti" : {
"title" : "Autograder: Exercise 9.4",
"launch" : "tools/pythonauto/index.php",
"resource_link_id": "python2auto_09_04",
"custom" : [
{
"key": "exercise",
"value": "9.4"
}
]
}
},
{
"title": "Tuples",
"anchor": "tuples",
"icon" : "fa-inbox",
"description": "The tuple is a Python data structure that is like a simple and efficient list.",
"slides": "lectures3/Pythonlearn-10-Tuples.pptx",
"chapters" : "10",
"videos" : [
{
"title" : "Tuples",
"youtube" : "odIMpHInDbA"
},
{
"title" : "Worked Exercise - Tuples",
"youtube" : "UwkYl9-P4R4"
}
],
"lti" : {
"title" : "Autograder: Exercise 10.2",
"launch" : "tools/pythonauto/index.php",
"resource_link_id": "python2auto_10_02",
"custom" : [
{
"key": "exercise",
"value": "10.2"
}
]
}
},
{
"title": "Regular Expressions",
"chapters" : "11",
"anchor": "regex",
"icon" : "fa-magic",
"description": "Regular Expressions allow us to search for patterns in strings and extract data from strings using the regular expression programming language.",
"slides": "lectures3/Pythonlearn-11-Regex.pptx",
"videos" : [
{
"title" : "Regular Expressions",
"youtube" : "UR6a_wZ8ido"
}
],
"lti" : {
"title" : "Autograder: Regular Expressions",
"launch" : "tools/python-data/index.php",
"resource_link_id": "pythondata_01_regex",
"custom" : [
{
"key": "exercise",
"value": "regex_sum.php"
}
]
}
},
{
"title": "Network Programming",
"chapters" : 12,
"anchor": "network",
"icon" : "fa-cloud",
"description": "We take a quick look at how data moves across the network using the HyperText Transport Protocol (HTTP) and how we write programs to read data scross the network.",
"slides": "lectures3/Pythonlearn-12-HTTP.pptx",
"videos" : [
{
"title" : "Network Programming",
"youtube" : "Zr8BQiPNaFI"
}
],
"lti" : [
{
"title" : "Autograder: Request-Response Cycle",
"launch" : "tools/python-data/index.php",
"resource_link_id": "pythondata_02_rrc",
"custom" : [
{
"key": "exercise",
"value": "http_headers.php"
}
]
},
{
"title" : "Autograder: Scraping HTML Data with BeautifulSoup",
"launch" : "tools/python-data/index.php",
"resource_link_id": "pythondata_03_html",
"custom" : [
{
"key": "exercise",
"value": "comment_html.php"
}
]
},
{
"title" : "Autograder: Following Links with BeautifulSoup",
"launch" : "tools/python-data/index.php",
"resource_link_id": "pythondata_04_links",
"custom" : [
{
"key": "exercise",
"value": "knows.php"
}
]
}
]
},
{
"title": "Using Web Services",
"chapters": "13",
"anchor": "servces",
"icon" : "fa-briefcase",
"description": "Web services allow a program to access data available on a different server.",
"slides": "lectures3/Pythonlearn-13-WebServices.pptx",
"videos" : [
{
"title" : "Web Services Part 1",
"youtube" : "6cwi1NcL0Zc"
},
{
"title" : "Discovering JSON - Douglas Crockford",
"youtube" : "kc8BAR7SHJI"
},
{
"title" : "Web Services Part 2",
"youtube" : "4Rib_ybry2Y"
},
{
"title" : "The JISC e-Framework",
"youtube" : "mj-kCFzF0ME"
},
{
"title" : "Web Services Part 3",
"youtube" : "_tpyqAlCgoM"
}
],
"lti" : [
{
"title" : "Autograder: Extracting Data from XML",
"resource_link_id": "pythondata_05_xml",
"launch" : "tools/python-data/index.php",
"custom" : [
{
"key": "exercise",
"value": "comment_xml.php"
}
]
},
{
"title" : "Autograder: Extract Data from JSON",
"launch" : "tools/python-data/index.php",
"resource_link_id": "pythondata_06_json",
"custom" : [
{
"key": "exercise",
"value": "comment_json.php"
}
]
},
{
"title" : "Autograder: Using the GeoJSON API",
"launch" : "tools/python-data/index.php",
"resource_link_id": "pythondata_07_geo",
"custom" : [
{
"key": "exercise",
"value": "geo_json.php"
}
]
}
]
},
{
"title": "Object-Oriented Programming",
"chapters" : "14",
"anchor": "Objects",
"icon" : "fa-cubes",
"description": "We have a quick look at how Python supports the Object-Oriented programming pattern.",
"slides": "lectures3/Pythonlearn-14-Objects.pptx"
},
{
"title": "Databases",
"chapter" : "15",
"anchor": "json",
"icon" : "fa-database",
"description": "Databases give us very fast random access to large amounts of data.",
"slides": "lectures3/Pythonlearn-15-Databases.pptx",
"videos" : [
{
"title" : "Databases - Part 1",
"youtube" : "3RMPveOMd0k"
},
{
"title" : "Databases - Single Table SQL - Part 2",
"youtube" : "yRJE-nk20sM"
},
{
"title" : "Worked Example: Twspider.py",
"youtube" : "wQNjza1gb_g"
},
{
"title" : "Databases - Complex Models - Part 3",
"youtube" : "rHjRpYUl5eg"
},
{
"title" : "Databases - Part 4",
"youtube" : "PgE--P-ZWvU"
},
{
"title" : "Databases - Foreign Keys - Part 5",
"youtube" : "GfuH_8uH16k"
},
{
"title" : "Databases - JOIN - Part 6",
"youtube" : "zMOSVrb82iU"
},
{
"title" : "Worked Example: Tracks.py",
"youtube" : "UGe7X_L-lHc"
},
{
"title" : "Databases - Many-to-Many - Part 7",
"youtube" : "uq_Wf4nuXqE"
},
{
"title" : "Worked Example: Twfriends.py",
"youtube" : "A_TpMJkSOcI"
}
],
"references" : [
{
"title" : "Python for Everybody Database Handout",
"href" : "lectures3/Pythonlearn-15-Database-Handout.txt"
}
],
"lti" : [
{
"title" : "Autograder: Single Table SQL",
"launch" : "tools/sql-intro/index.php",
"resource_link_id": "pythonsql_01_single",
"custom" : [
{
"key": "exercise",
"value": "single_lite.php"
}
]
},
{
"title" : "Autograder: Counting Email in a Database",
"launch" : "tools/sql-intro/index.php",
"resource_link_id": "pythonsql_02_email",
"custom" : [
{
"key": "exercise",
"value": "count_lite.php"
}
]
},
{
"title" : "Autograder: Multi-Table Database - Tracks",
"launch" : "tools/sql-intro/index.php",
"resource_link_id": "pythonsql_03_tracks",
"custom" : [
{
"key": "exercise",
"value": "many_one_lite.php"
}
]
},
{
"title" : "Autograder: Many Students in Many Courses",
"launch" : "tools/sql-intro/index.php",
"resource_link_id": "pythonsql_04_many",
"custom" : [
{
"key": "exercise",
"value": "many_many_lite.php"
}
]
}
]
},
{
"title": "Data Visualization",
"chapters" : "16",
"anchor": "dataviz",
"icon" : "fa-bar-chart-o",
"description": "In this section, we learn to scrape data from the network, store the data in a database and then read the data from the database to produce an in-browser visualization of the data.",
"slides": "lectures3/Pythonlearn-16-Data-Viz.pptx"
}
]
}