https:/.../e87e6ac9-4313-4943-87b1-ad75015b95bb-6042448d-66e9-47b4-8b32-ad8c0111f3d4.mp4?invocationId=2e65da02-6d03-ec11-a9e9-0a1a827ad0ec

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In this video, I'm going to show you how to start up the Jupyter environment that we're going

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to be using for our Python program and write some of our first Python code.

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Also walk through the steps needed to turn a notebook into a PDF

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you can submit on blackboard for one of the assignments. So I've already installed Anaconda.

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You can find the instructions for that on the course Web site. On Windows, when we've installed in ancondo, we get

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a new kind of prompt available in the START menu. So I can go in to start the anaconda power shall prompt.

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And this starts up a power shell command line

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that has Anaconda activated. The process for doing this on Linux or on Windows is slightly different, although excuse me,

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on Linux or on Mac is slightly different, although you can also start the prompt from the Anaconda navigator.

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I will show you in another video how to activate Anaconda when we have it installed on Onyx, which will also apply to other Linux systems.

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So I'm in my anaconda prompt, it's in my home directory. I'm going to go to the directory I've created for working on C.S. 533.

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So I'm going to cd into documents\CS 533 assignments, and here I'm going to start the Jupyter environment with Jupyter notebook.

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So we're gonna be doing our work in what we call notebooks. They're a part of Jupyter. We can start this at the command line with Jupyter notebook.

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And it's going to start up the Jupyter system and open it up in our Web browser.

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The Web browser is the interface that we use to interface with Jupyter and interact with notebooks.

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So if I had some notebook files in here, they would be listed in the notebook list and we could open them.

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So in the assignment, you'll download the starter notebook. Save it in the directory you're working in.

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When you run Jupiter notebook, it will appear. But right now, I'm one to create a new notebook.

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I'm going to create a new Python 3 notebook because Python 3 is what we're using in this class.

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And it's a new notebook and it's untitled. So I'm going to given a name here.

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I'm just going to call it demo notebook because it's the notebook that I'm using to demonstrate.

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If I go back to our notebook list, we now see it and its "Demo Notebook.ipynb" the ipynb file as the source filed for the notebook.

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You're going to be submitting those as one of the things you submit in your assignment. So now a notebook is made up of cells.

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And right now we have one cell here. So I want to put some code in it.

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I'm just going to write the string "Hello, world". The string isn't close in case, and it's enclosed in double quotes.

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And I am going to hit shift enter. And that run - shift enter - runs the cell that we're currently in.

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And now it's labeled In [1] . It's the first cell that we ran. And it has an output Out [1] that says, "Hello, world"

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When you run a cell and the last line of the cell is an expression that has some value, what Jupyter will do is it will show you that value.

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So because the last and only line of the cell is the string value

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"Hello, world" It shows me the value. "Hello, world"

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If I put in a value - a number - five, it will show me the number five.

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It only prints the value of the last line, but it lets us very quickly just see an object.

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We don't even need to worry about print statements. If we do want to create output, we can

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call print, and it will print the output for the way Python would usually print it.

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It shows up as a as as text. Jupyter is going to show the output of our program here.

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It's formatted a little differently because its output. It's not just showing the results of an expression.

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These code cells are not the only cells that we can have in a notebook.

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So I'm going to insert a new cell above the above this one.

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And I am going to change its type to markdown.

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And in a markdown cell, we don't write python code, but we write text.

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So I wrote the text, this is the demonstration node to show notebook to show you how to run Python code.

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And if I run this notebook, it just renders it as text.

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Now I can edit it. I'm going to double click to edit it again.

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This supports all markdown features so we can give this notebook a heading.

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We always want to begin our notebook with a level one heading, which is done with a single hash that gives the title of the notebooks,

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that then when we convert it to another format, we're gonna have the title right there.

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Markdown cells support a variety of formatting features.

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Such as bold and italics.

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Also, bulleted lists. Lists and numbered

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lists. I'm going to stick another cell in here. I use the menu -

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I can also hit the A key and it will add a new cell above and M changes it to mark down.

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There's keys that will that will let us navigate the notebook quickly.

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Also, the notebook is what we call modal.

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If the if - the interface has two modes, if the cell is surrounded in green, I'm editing the contents of this cell.

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We can also show mathematical expressions like y = mx+b, you put them in dollar signs and they're going to be rendered.

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I'm going to shift enter again. And now the math is showing up like math.

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When it's blue, when the cell is highlighted in blue, we're not editing the contents of the cell, but rather we are moving around cells.

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So the up and down arrows, keys like a will add a cell instead of typing a in the cell.

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Once we're on a cell, we can hit enter to edit the cell and escape to change back to the mode where we navigate cells.

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So now we have this notebook control as saves the notebook. Jupiter has its own set of menus so we can do a variety of things like again, save

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save the notebook with a new name. We can make a copy of The Notebook.

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We can also we're going to go submit the notebook - in order to give you feedback -

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I want a PDF of your notebook so that I can use blackboards, PDF markup tools to give you feedback on your assignments.

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So, Jupyter has the direct ability to create a PDF, but unfortunately requires an entire LaTeX installation.

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An additional software on top of that in order to go from a notebook to a PDF.

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So what instead we're going to do is we're going to go into the notebooks print preview.

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So I clicked file on the notebook interface. I go to print preview.

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This shows a trimmed down version of The Notebook that's not interactive.

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It doesn't have any in the interface. And now we can print this version of the notebook.

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And we can print your browser is going to let you save as a PDF when you go to print.

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So we're just going to use that save as PDF. I'm going to go put it in my assignment's directory.

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Demo Notebook.pdf . I'm gonna dlose this window.

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Now, if I go to that directory, I'm going to see both my ipynm file.

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That's the actual notebook file itself and the PDF file I just exported.

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I can look at the contents of that PDF file and it looks like we expected.

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We see the notebook title at the top where he wrote that level one heading.

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We see all of our output. When you're submitting an assignment

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what I want you to submit is both the ipynb file and the notebook file.

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So now. So when we're done with a notebook, then we go what it this file menu and we close and halt.

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And this closes the notebook tab. But it also shuts down the python instance that's running in the background to let us run the code in the notebook.

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If you don't close a halt, you're going to wind up with a bunch of python instances kicking around that you may not want.

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We're gonna see more features of Jupyter as we go through the class, including things to manage the python processes that are running.

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But now you've seen the first steps to how you can open Jupyter.

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You can create a notebook. You've seen notebook cells and you've seen how we can take this notebook and create output

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you're going to submit when you submit the results of an assignment.