1
00:00:00,671 --> 00:00:03,450
- [Instructor] So before we
get into our first examples

2
00:00:03,450 --> 00:00:05,430
of this lesson, just one last thing,

3
00:00:05,430 --> 00:00:08,431
which is that there
are a tremendous number

4
00:00:08,431 --> 00:00:12,870
of free and open data sets out there,

5
00:00:12,870 --> 00:00:14,640
big data data sets out there,

6
00:00:14,640 --> 00:00:17,090
that you can play around
with, experiment with,

7
00:00:17,090 --> 00:00:18,530
and do research with.

8
00:00:18,530 --> 00:00:20,980
So, over this and the next few slides,

9
00:00:20,980 --> 00:00:23,606
we have a bunch that we came across.

10
00:00:23,606 --> 00:00:26,671
Some of them are repository sites.

11
00:00:26,671 --> 00:00:29,920
Some of them are articles that refer

12
00:00:29,920 --> 00:00:31,743
to lots of public data sets.

13
00:00:31,743 --> 00:00:35,500
But I would encourage you on
each of these three slides

14
00:00:35,500 --> 00:00:36,576
to pause the video,

15
00:00:36,576 --> 00:00:39,340
enter these URLs into your web browser,

16
00:00:39,340 --> 00:00:40,793
and explore a little bit

17
00:00:40,793 --> 00:00:43,620
about the big data sources
that are out there.

18
00:00:43,620 --> 00:00:47,010
And of course, a quick
search online will likely

19
00:00:47,010 --> 00:00:48,740
turn up many others.

20
00:00:48,740 --> 00:00:52,150
So here's the second page of sources

21
00:00:52,150 --> 00:00:57,150
that we included in section
16.1 of Python for Programmers

22
00:00:57,590 --> 00:01:01,370
and section 17.1 of our Intro to Python

23
00:01:01,370 --> 00:01:04,150
for Computer Science
and Data Science book.

24
00:01:04,150 --> 00:01:08,273
And here is a third page
of such resources as well.