1
00:00:01,430 --> 00:00:02,470
- [Instructor] Throughout these videos,

2
00:00:02,470 --> 00:00:06,580
you'll be working with the
Anaconda Python distribution,

3
00:00:06,580 --> 00:00:08,270
which is one of the most popular

4
00:00:08,270 --> 00:00:10,520
Python distributions out there.

5
00:00:10,520 --> 00:00:12,830
We chose this particular distribution

6
00:00:12,830 --> 00:00:15,240
because of all the different software

7
00:00:15,240 --> 00:00:17,400
that comes with it by default.

8
00:00:17,400 --> 00:00:21,180
In particular, it has
the IPython interpreter

9
00:00:21,180 --> 00:00:23,820
which we will use to execute code

10
00:00:23,820 --> 00:00:27,390
both interactively one
code snippet at a time,

11
00:00:27,390 --> 00:00:29,390
or one line of code at a time,

12
00:00:29,390 --> 00:00:33,380
as well as to execute
full Python applications,

13
00:00:33,380 --> 00:00:35,700
which again, we refer to as scripts.

14
00:00:35,700 --> 00:00:40,410
It also has a local
Jupyter Notebooks server

15
00:00:40,410 --> 00:00:43,380
that will enable you to run this thing

16
00:00:43,380 --> 00:00:45,920
called Jupyter Notebooks
in your Web browser

17
00:00:45,920 --> 00:00:48,650
locally on your computer.

18
00:00:48,650 --> 00:00:51,330
As you'll see in the test
drives in lesson one,

19
00:00:51,330 --> 00:00:54,290
Jupyter Notebooks are
a really convenient way

20
00:00:54,290 --> 00:00:59,290
to not only type and execute Python code,

21
00:00:59,700 --> 00:01:04,070
but you can also embed
in them text and images

22
00:01:04,070 --> 00:01:06,900
and videos and other Web-based content

23
00:01:06,900 --> 00:01:10,920
to create a combination of both code

24
00:01:10,920 --> 00:01:12,980
and other materials.

25
00:01:12,980 --> 00:01:16,960
That's particularly important
for reproducibility.

26
00:01:16,960 --> 00:01:19,590
If you're doing data science studies

27
00:01:19,590 --> 00:01:21,440
or other types of studies

28
00:01:21,440 --> 00:01:23,210
and you want other people to be able

29
00:01:23,210 --> 00:01:25,110
to reproduce your results,

30
00:01:25,110 --> 00:01:29,140
Jupyter Notebooks are a really
popular way of doing that.

31
00:01:29,140 --> 00:01:32,020
In addition to IPython
and Jupyter Notebooks,

32
00:01:32,020 --> 00:01:35,500
most of the Python and
data science libraries

33
00:01:35,500 --> 00:01:38,180
that we use throughout these videos

34
00:01:38,180 --> 00:01:42,490
are included with the
Anaconda Python distribution.

35
00:01:42,490 --> 00:01:44,750
There will be some additional libraries

36
00:01:44,750 --> 00:01:47,380
that you have to install as well.

37
00:01:47,380 --> 00:01:49,040
The distribution also includes

38
00:01:49,040 --> 00:01:50,680
a bunch of other software,

39
00:01:50,680 --> 00:01:53,700
including things like the Spyder IDE,

40
00:01:53,700 --> 00:01:56,180
which is one of the more
popular data science

41
00:01:56,180 --> 00:01:59,090
Python-integrated
development environments,

42
00:01:59,090 --> 00:02:01,730
and Microsoft's Visual Studio Code

43
00:02:01,730 --> 00:02:04,790
is an installation option as well.

44
00:02:04,790 --> 00:02:09,640
You can get the latest
installer for Anaconda

45
00:02:09,640 --> 00:02:11,520
from the URL that you see here,

46
00:02:11,520 --> 00:02:15,640
anaconda.com/distribution.

47
00:02:15,640 --> 00:02:18,250
When you go to that webpage,

48
00:02:18,250 --> 00:02:20,720
you'll see a download button

49
00:02:20,720 --> 00:02:22,160
which I'll show you in just a moment,

50
00:02:22,160 --> 00:02:25,370
and from there you can
download for Windows,

51
00:02:25,370 --> 00:02:27,210
macOS, or Linux.

52
00:02:27,210 --> 00:02:29,240
Once you've completed the download,

53
00:02:29,240 --> 00:02:31,900
you'll want to execute the installer

54
00:02:31,900 --> 00:02:35,420
and simply follow the
on-screen instructions

55
00:02:35,420 --> 00:02:37,493
to get the software installed.

56
00:02:39,430 --> 00:02:43,680
Here is the Anaconda
distribution download webpage.

57
00:02:43,680 --> 00:02:45,900
As you can see, here's the download.

58
00:02:45,900 --> 00:02:47,040
When you click that button,

59
00:02:47,040 --> 00:02:49,230
it brings you lower down on the page.

60
00:02:49,230 --> 00:02:52,623
You have tabs here for the
three different platforms.

61
00:02:53,598 --> 00:02:54,750
For the purpose of these videos,

62
00:02:54,750 --> 00:02:59,750
you will want to get the
Python 3.7 or higher version.

63
00:03:00,030 --> 00:03:02,030
By the time you're watching these videos,

64
00:03:02,030 --> 00:03:05,440
there could be a more
recent version available.

65
00:03:05,440 --> 00:03:08,720
Once you go ahead and
click the download link,

66
00:03:08,720 --> 00:03:10,780
you'll see the download begin.

67
00:03:10,780 --> 00:03:13,110
Again, once that download is complete,

68
00:03:13,110 --> 00:03:15,250
simply go to your downloads folder

69
00:03:15,250 --> 00:03:18,473
and double-click the
installer to execute it.