1
00:00:08,659 --> 00:00:13,852
Hi everyone, my name is Daniel Schorin and
I'm a student assistant in this class.

2
00:00:13,852 --> 00:00:18,214
Today we'll be going over how to set
up your local programming environment

3
00:00:18,214 --> 00:00:19,608
on a Windows computer.

4
00:00:19,608 --> 00:00:24,189
We'll go through and
install all the libraries, packages, and

5
00:00:24,189 --> 00:00:28,034
software you'll need to run
the files in this course.

6
00:00:28,034 --> 00:00:31,651
Well, the Jupyter console and
the Coursera module, comes included with

7
00:00:31,651 --> 00:00:35,572
all of the libraries and packages you'll
need to run the lessons in this class.

8
00:00:35,572 --> 00:00:39,482
Some people may prefer to do
that on your own computer.

9
00:00:39,482 --> 00:00:43,529
The only prerequisites for
this tutorial are computer running Windows

10
00:00:43,529 --> 00:00:47,312
with administrative access,
that is connected to the internet.

11
00:00:47,312 --> 00:00:50,158
We'll be completing the installation
using the command line.

12
00:00:50,158 --> 00:00:53,952
It's just a way to pass instructions
to your computer using text.

13
00:00:53,952 --> 00:00:56,378
The command line is also known as a shell.

14
00:00:56,378 --> 00:01:00,845
It is a powerful tool for
modifying, automating, and

15
00:01:00,845 --> 00:01:03,865
organizing tasks on your computer.

16
00:01:03,865 --> 00:01:08,209
Before we get too into the command line,
let's first install Python.

17
00:01:08,209 --> 00:01:17,431
Navigate to this URL,
https://www.python.org/downloads/windows,

18
00:01:17,431 --> 00:01:21,368
and download the latest version.

19
00:01:21,368 --> 00:01:26,046
At the time of this video recording,
that's python 3.7.3.

20
00:01:26,046 --> 00:01:30,378
This downloads an installer which will
automatically configure the paths and

21
00:01:30,378 --> 00:01:34,710
dependencies, along with the programming
language to be interpreted by your

22
00:01:34,710 --> 00:01:35,382
computer.

23
00:01:35,382 --> 00:01:38,472
Follow the instructions and
you'll be good to go.

24
00:01:40,015 --> 00:01:43,390
Python automatically comes
with a package called PIP,

25
00:01:43,390 --> 00:01:46,633
which allows you to install
libraries super easily.

26
00:01:46,633 --> 00:01:49,716
We'll touch more on PIP
in just a little bit.

27
00:01:49,716 --> 00:01:54,337
In order to download and manage libraries,
we'll need to download a package manager.

28
00:01:54,337 --> 00:01:57,650
Package manager is a set of
software tools that automate

29
00:01:57,650 --> 00:02:01,529
complex installation processes,
which include downloading,

30
00:02:01,529 --> 00:02:04,711
upgrading, configuring,
and removing software.

31
00:02:04,711 --> 00:02:08,381
Their most robust and
common package manager for

32
00:02:08,381 --> 00:02:12,865
Windows is Anaconda,
which we'll be using in this guide.

33
00:02:12,865 --> 00:02:17,305
Anaconda is a free and open source
package, an environment management system

34
00:02:17,305 --> 00:02:20,545
that makes installing software
on Windows pain-free.

35
00:02:20,545 --> 00:02:24,536
Additionally, Anaconda is a Python
data science distribution.

36
00:02:24,536 --> 00:02:28,232
And it comes loaded with lots of
useful libraries for data mining,

37
00:02:28,232 --> 00:02:31,341
machine learning, and
statistics programming work.

38
00:02:31,341 --> 00:02:33,847
If you are interested in
using these libraries,

39
00:02:33,847 --> 00:02:37,697
be sure to check out the University of
Michigan's applied data science and

40
00:02:37,697 --> 00:02:40,705
Python programming course on
Coursera after this class.

41
00:02:40,705 --> 00:02:43,943
To download Anaconda,
go into your web browser and

42
00:02:43,943 --> 00:02:47,486
navigate to www.anaconda.com/distribution,
and

43
00:02:47,486 --> 00:02:52,854
download the package manager corresponding
to the Python version you downloaded.

44
00:02:52,854 --> 00:02:55,978
This one's another installer
program similar to the one used for

45
00:02:55,978 --> 00:02:57,296
the Python installation.

46
00:02:57,296 --> 00:02:58,932
Follow the instructions,

47
00:02:58,932 --> 00:03:02,852
download it to the default location,
and you'll be ready to go.

48
00:03:02,852 --> 00:03:08,507
If you already have Anaconda installed
on your computer, you can update it to

49
00:03:08,507 --> 00:03:14,435
the latest version by typing conda update
conda in your command line interface.

50
00:03:14,435 --> 00:03:16,801
Now that we have our
package manager installed,

51
00:03:16,801 --> 00:03:18,888
let's talk about virtual environments.

52
00:03:18,888 --> 00:03:22,536
Virtual environments allow developers
to have separate space for

53
00:03:22,536 --> 00:03:26,834
programming projects, ensuring that
the dependencies of one project don't

54
00:03:26,834 --> 00:03:29,190
inadvertently affect another projects.

55
00:03:29,190 --> 00:03:32,876
Using virtual environments can
prevent a lot of compilation issues.

56
00:03:32,876 --> 00:03:36,344
As well as giving more control
over our Python projects.

57
00:03:36,344 --> 00:03:39,800
It's a best practice to create
a program environment for

58
00:03:39,800 --> 00:03:44,200
each programming project, as you can
create as many as them as you like.

59
00:03:44,200 --> 00:03:48,530
Let's go a head and create a virtual
environment for this class pie three.

60
00:03:48,530 --> 00:03:52,098
To do this we'll use Anaconda's
built in virtual environment

61
00:03:52,098 --> 00:03:54,329
capabilities using the command line.

62
00:03:54,329 --> 00:03:58,315
On Windows computers, we can use
the command line application to access

63
00:03:58,315 --> 00:04:03,039
the command line interface, which can run
scripts, download software, and more.

64
00:04:03,039 --> 00:04:05,949
You can find the command line
by opening the Start menu and

65
00:04:05,949 --> 00:04:09,414
scrolling through your applications,
or by using the search bar.

66
00:04:09,414 --> 00:04:12,727
Once you have your command line opened,
let's create a home directory for

67
00:04:12,727 --> 00:04:13,839
the files in this class.

68
00:04:13,839 --> 00:04:17,357
For this tutorial, we'll place it in
a folder on your desktop although you can

69
00:04:17,357 --> 00:04:18,703
put it wherever you'd like.

70
00:04:18,703 --> 00:04:23,559
Type cd ~.

71
00:04:23,559 --> 00:04:28,248
That'll just take you back to your home
directory, and then type cd desktop.

72
00:04:28,248 --> 00:04:33,230
Cd stands for change directory,
that'll help us change the directories and

73
00:04:33,230 --> 00:04:36,305
folders as we navigate
using the command line.

74
00:04:36,305 --> 00:04:40,061
So cd desktop helps us
navigate to our desktop.

75
00:04:40,061 --> 00:04:45,977
And then we're going to make a folder
using the command make directory or

76
00:04:45,977 --> 00:04:48,390
make dir, M-K-D-I-R.

77
00:04:48,390 --> 00:04:51,744
And then the name of our home folder for
this class, and for

78
00:04:51,744 --> 00:04:57,266
this we use pie 3 Now that
we've had that folder created,

79
00:04:57,266 --> 00:05:00,465
we'll go into that folder using
the change directory command.

80
00:05:00,465 --> 00:05:02,633
Now that we're in our class directory,

81
00:05:02,633 --> 00:05:06,478
we'll create our virtual environment
simply by typing this command.

82
00:05:06,478 --> 00:05:14,706
Conda create -n py3env
python=3.7.2 anaconda.

83
00:05:14,706 --> 00:05:18,266
Where py3env is the name of
our virtual environment, and

84
00:05:18,266 --> 00:05:22,781
the Python version corresponds with
the Python version you downloaded.

85
00:05:22,781 --> 00:05:26,775
You can check the Python version
by typing python --version.

86
00:05:31,015 --> 00:05:35,505
Here on this computer
we're using Python 3.5.

87
00:05:35,505 --> 00:05:38,733
So that we've created our virtual
environment we can activate it using

88
00:05:38,733 --> 00:05:39,878
the following command.

89
00:05:39,878 --> 00:05:45,925
Just simply source activate py3env, where
py3env is the name of our environment.

90
00:05:45,925 --> 00:05:46,877
As you can see,

91
00:05:46,877 --> 00:05:52,170
the Windows is built-in command prompt is
having a hard time working with Anaconda.

92
00:05:52,170 --> 00:05:53,451
To work around this,

93
00:05:53,451 --> 00:05:57,517
we're going to use a command line
interface program called Git bash.

94
00:05:57,517 --> 00:06:01,656
Git bash is a shell, which works on top of
the command prompt to make it easier to

95
00:06:01,656 --> 00:06:05,509
download libraries and easier to work
with your command line as a whole.

96
00:06:05,509 --> 00:06:08,525
To download Git bash,
just Google search Git bash.

97
00:06:12,586 --> 00:06:15,730
Click on the downloads page.

98
00:06:15,730 --> 00:06:20,813
Click on your Windows operating system,
and your download will start immediately.

99
00:06:20,813 --> 00:06:26,541
Follow the instructions on that download,
and you'll be all set to use Git bash.

100
00:06:26,541 --> 00:06:34,065
We'll go to our main directory,
go to our desktop, go to our py3 folder.

101
00:06:35,692 --> 00:06:40,473
And now, since we already created
the environment using the command line

102
00:06:40,473 --> 00:06:43,017
interface from the windows computer,

103
00:06:43,017 --> 00:06:46,733
we'll go ahead and
see if that's working with Git bash.

104
00:06:46,733 --> 00:06:54,348
So, we'll try source activate py3env,
and wonderful.

105
00:06:54,348 --> 00:06:57,346
We're in our Python 3 virtual environment.

106
00:07:01,131 --> 00:07:05,390
You can tell that you are in your
Python 3 environment if the name of

107
00:07:05,390 --> 00:07:08,981
your environment is in
parentheses after any command.

108
00:07:08,981 --> 00:07:12,821
Now that we've created and
activated our virtual environment,

109
00:07:12,821 --> 00:07:16,257
let's install the packages we'll need for
this course.

110
00:07:16,257 --> 00:07:19,216
We'll describe more about
what these packages do and

111
00:07:19,216 --> 00:07:21,328
how to use them in different lessons.

112
00:07:21,328 --> 00:07:24,541
For now,
run the following commands one at a time,

113
00:07:24,541 --> 00:07:28,524
in your py3 folder with your
virtual environment activated.

114
00:07:28,524 --> 00:07:32,345
Due to the power of editing, we're
going to speed through the process of

115
00:07:32,345 --> 00:07:36,773
copying and pasting these downloads into
your Git bash shell or command prompt.

116
00:07:36,773 --> 00:07:41,113
And additionally, on this computer,
these packages were already installed, so

117
00:07:41,113 --> 00:07:45,146
don't be alarmed if you see different
instructions in your command prompt.

118
00:07:45,146 --> 00:07:51,713
We'll install pip install pillow,
Pip install pytesseract,

119
00:07:52,879 --> 00:07:58,457
Pip install numpy, pip install matplotlib,

120
00:07:58,457 --> 00:08:02,612
and pip install opencv-python.

121
00:08:02,612 --> 00:08:06,240
With all of your libraries downloaded,
we're nearly ready to go.

122
00:08:06,240 --> 00:08:08,662
We just need to get our
files ready to run.

123
00:08:08,662 --> 00:08:11,350
Let's navigate to the Py3 Coursera class.

124
00:08:11,350 --> 00:08:16,181
Download the Jupyter notebook files with
their I, P, Y, and B extensions, and

125
00:08:16,181 --> 00:08:20,953
their accompanying data files into
the Py3 directory on your local computer.

126
00:08:20,953 --> 00:08:25,687
To run these files, we'll simply navigate
to our folder in the command line and

127
00:08:25,687 --> 00:08:27,180
type Jupyter notebook.

128
00:08:27,180 --> 00:08:30,604
As you can see,
our notebook is up here all ready to go.

129
00:08:30,604 --> 00:08:33,400
If you can solve the files,
they'll be ready for you to run.

130
00:08:33,400 --> 00:08:36,250
Thank you all so
much have a ton of fun in this class.