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Hi everyone. My name
is Daniel Schorin,

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and I'm a student assistant
in this class.

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Today, we'll be going
over how to set up

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your local programming
environment on a Mac computer.

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Starting off, while
the Jupyter console

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is included in Coursera,

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it comes with all the
included libraries and

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packages necessary to run
the lessons in this class.

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Some people may prefer to

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run the files on
your local computer.

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Today, we'll go over the steps

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and help you do
that in this video.

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The only prerequisite for

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this tutorial are
computer running

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Mac OS with administrative access

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that's connected to the Internet.

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We'll be completing
the installation

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using the command line,

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which is a way to pass

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instructions to
your computer using text.

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The command line is
also known as a shell,

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and it's a powerful tool
for modifying,

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automating, and organizing
tasks on your computer.

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On Mac computers, we use

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the terminal application to

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access the command
line interface.

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You can find terminal
by opening finder,

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and navigating to terminal and

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the utility folder within
the applications folder.

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In order to download
and manage libraries,

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we'll need to download
a package manager.

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A package manager is a set of

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software tools that automate

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complex installation processes on

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your computer which
include downloading,

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upgrading, and configuring,
and removing software.

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The most robust and
common package manager

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for Mac OS is Homebrew,

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which we'll be using
in this guide.

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Homebrew is a free and

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open source package
managing system

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that makes the
installation process

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on Mac computers pain-free.

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To install Homebrew, copy

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the following command
and paste it

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in the terminal as such.

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Will go ahead and copy this link,

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navigate to our terminal,

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Control click, paste, and enter.

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You'll see a script

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asking for permissions download
and we'll go ahead and

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press "Return," and then

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you'll see it download
and install Homebrew.

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So, Homebrew is software
programmed in the language Ruby.

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The installation
works by modifying

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your computer's Ruby path,

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meaning where Ruby is
installed on your computer.

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You'll need to
confirm the download

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and enter your
computer's password.

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Note that your keystrokes
will not display in

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the terminal window
when you're entering

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your password for
security reasons.

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So, simply press "Enter"
when finished typing

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your password and follow
the instructions and

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terminal to finish
the installation.

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Once that's finished, you can
check if Homebrew installed

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successfully by typing

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the following command
in your terminal.

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Just brew doctor.

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So we'll go ahead and copy that,

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go back and paste it,

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and we see that our system
is ready to brew.

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Once Homebrew is
finished installing,

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we can download Python.

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Homebrew comes
included with a ton of

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packages available for
easy installation.

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You can search for
libraries to install

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using the brew search command.

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Feel free to browse Homebrew's
packages on your own time.

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Now, we can go ahead
and install Python

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3 using the following
command and terminal.

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Brew install Python 3.

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So again, we'll go
over copy that,

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Control click and paste
it, and press "Enter."

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While Python 3 is already
installed on this computer

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you'll see a few
different instructions

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in your computer's terminal.

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As you can see on our computer it

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says we're already
installed and up-to-date.

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But if you just follow the
instructions in your terminal

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your Python will
install correctly.

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Upon entering that command
the terminal should

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be flooded with information
about the download.

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In addition to Python 3,

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Homebrew will install PIP,

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setup tools, and a wheel.

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These are all libraries
and packages for Python.

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Pip assists Homebrew and
Python package management.

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We'll be using Pip momentarily to

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download the Python packages

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we'll be using in this module.

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We can check the version
of Python we have

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using the following command
Python version.

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As we see we are working
with Python 2.7.1.

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While this is an older
version of Mac OS,

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we do recommend using
Python 3 to download.

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To update the version of
Python on your computer,

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we first recommend
updating Homebrew.

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You can do so with
the following commands;

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brew update, and as we

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can see Homebrew is already
up to date on our computer.

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Finally, brew upgrade Python 3.

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Great. Now we can see that
Python 3.7 is installed.

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Now that we have Homebrew
and Python installed,

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let's talk about
Virtual Environments.

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Virtual Environments
allow developers have

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separate spaces for
different programming projects,

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ensuring that
the downloaded packages of

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one project don't inadvertently
effect another projects.

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Using Virtual
Environments can prevent

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a lot of compilation issues,

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and it can also give
us more control

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over our Python projects.

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It's best practice to create

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a programming environment for
each programming project,

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as you can create as many
of them as you like.

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Let's go ahead and create
a Virtual Environment

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for this class Py3.

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First, we'll have to create

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a home directory to house
the files and for this course.

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For this tutorial we'll put it

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in a folder on our desktop,

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although for you, you can
put it wherever you like.

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In terminal type "cd ~",

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and that takes us to
our home directory.

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Then we'll type in "cd

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desktop," and then
we type the command

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"mkdir," and the name of
your folder which we'll use Py3.

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We'll navigate into
this folder using

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the change directory
or cd command.

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Now that we're in
our class directory,

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we can create
our Virtual Environment

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simply by typing this command.

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In this command, the 3.7

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corresponds to
the version of Python,

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and Py3env is the name
of our environment.

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This command creates
a new directory

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inside of our Py3 home folder,

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that houses
a few files that allow

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our Virtual Environment
to run correctly,

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isolating the project
files so that they

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don't mix with this system
files on our computer.

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The most important of these
is the live subdirectory,

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which starts out empty but
will at the end of this lesson

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hold the data for
all the libraries

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we install in this environment.

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To use the environment we
created we need to activate it.

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We do this by invoking the
activate script and terminal.

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Wonderful. You know
your Virtual Environment

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is activated when you see

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the name of your environment
in parentheses

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before the terminal commands
in the application.

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Now that we've created and

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activated our
Virtual Environment,

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let's install the packages
we'll need for the course.

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We'll describe more about
what these packages do,

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and how to use them
in different lessons.

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For now, just run
the following commands one at

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a time in your Py3 folder

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with your Virtual
Environment activated.

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Due to the power of editing,

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we're going to speed through
this installation process.

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But understand that
these packages may take

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some time to install, so
be patient with them.

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Pip install pillow, tesseract,

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pytesseract, numpy,
matplotlib, and opencv-python.

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With all the libraries

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downloaded we're
nearly ready to go.

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We just need to get
our files ready to run.

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Let's navigate to
the Py3 Coursera course,

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download the Jupyter
Notebook files with

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the ipynb extensions,

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and their accompanying data files,

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and put those into the Py3
directory on our own computer.

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To run these files,
simply navigate to

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our folder in terminal and
type "jupyter notebook"

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There you should see
a folder for your files,

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and you'll be all ready to go and

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run these files within Jupyter.

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Thank you so much, and
have fun with this course.