Getting started with Dask Transcripts
Chapter: Setup to follow along
Lecture: Running JupyterLab
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After the environment is done installing, we need to activate it. To do so, we can follow this instruction that the installer
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has provided for us up here. So just type in conda activate talkPython-dask. You can see that on the left hand side at the beginning of the line,
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the environment name now appears instead of base. Okay. We're ready to start jupyter lab. After typing jupyter lab into the console,
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we'll just wait for it to start. It will automatically open a browser window for us and show us our repository.
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JupyterLab starts in the directory from which it is launched in the console.
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We're in the course introduction-to-dask and we need to open the first notebook which
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is the 00-setup.ipynb. Once we're in, we see a typical JupyterLab window where on the left hand side we have the utility bar and in the main window
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we have notebooks. We also have access to a launcher which allows us to create new notebooks, new consoles, terminals,
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files and so forth. Let's go back to the setup notebook. A notebook consists of cells,
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which can be Markdown cells like this one here, which provide rich textual representation for can contain images, links, headings.
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It really helps with making the whole notebook feel like a story, like a like a book or like a journal. Then we see code cells which also have output.
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For example, running this cell would provide us with an output. First, actually we need to import a function that this cell uses.
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Then we can run it right here. These two functions take two minutes and to run the cell we just need to press Shift + Enter or Ctrl + Enter.
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And we've got the result. You can see JupyterLab features
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syntax highlighting and the interactive environment like, that allows us to move cells around. So if I wanted to, I could move those cells up and down.
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I can also copy and paste cells. It's a very very nice working environment, especially for data science and for interactive workloads.
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Let's explore setting up a variable and printing it. So jupyter cells by default, print out the value of the variable that is stated in the last line.
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That's an easy way to get to know what is in a particular variable. I can add a cell, just see what is inside the variable a, I can see that's 11,
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which makes sense, 10 plus one. Before we go, let's just have a look at keyboard shortcuts. So those are very very useful,
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they accelerate your work. You can run cells by pressing this play button up here in the top bar on the notebook screen.
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You can also add cells through there and by pressing the plus, use the copy, cut and paste, you can also restart the notebook kernel.
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But a lot of these activities can be accomplished by keyboard shortcuts. So for example, "A" and "B" are for inserting cells, "M" and "Y" is for
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switching cells from Markdown to code and vice versa. Of course you can run cells as well with Shitf + Enter, Ctrl + Enter or even Alt + Enter.
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All of those are variations, you can read more about those in the help. It's time well spent getting to know keyboard shortcuts for JupyterLab.
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As for the exercises in this, in this course, every notebook will have those scattered around just so the experience of
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learning is deeper. We encourage you to always spend the time to try to exercise
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and ideally make the exercise even richer on your own, that will unleash your creativity, it will make you understand the framework deeper.
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Please try that whenever you can, it will be very worth your while. At this point, just to let you know the format,
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questions will be written in this format and we'll invite you to type in your answer and then hidden with this ellipsis,
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there will be a cell with an answer that we provided for you, which you can check against. So before you open that ellipsis,
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make sure to give it an honest try or if you don't have time, just go right to the answer, be informed through that. Great.
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By the way, if you want to collapse the cell, you can do so as well by pressing on this blue bar here, you can compress and decompress cells.
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Like I said before, it's a fantastic environment to work in. You can have multiple notebooks running at the same time,
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you can have multiple tabs, arrange them as you wish.
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If this is your first foray into JupyterLab, I hope you enjoy it very much and have fun with the course.