- Jupyter Notebook Markdown Code Block
- Matrix In Jupyter Notebook Markdown
- Jupyter Notebook Markdown List
- Launch and close a
- Navigate the
- Create and open
Jupyter Notebookfiles (
Launch Jupyter Notebook From the Terminal
In this guide, we'll be using Jupyter notebooks to demonstrate markdown, however note that markdown is not Jupyter specific. Many other services and products use it to allow easy text formatting. NOTE: In our quick guide on how to use Jupyter notebooks, we mentioned that Jupyter allows changing the type of a cell to make it a markdown cell. . an asterisk starts an unordered list. and this is another item in the list + or you can also use the + character - or the - character To start an ordered list, write this: 1. This starts a list.with. numbers + this will show as number '2'. this will show as number '3.' Any number, +, -, or. will keep the list going.
The markdown cell in Jupyter Notebook can display six levels of heading. For making a heading, start the syntax with # followed by a space and then the text. This will make the heading of level 1 – The biggest. To decrease the size of the heading start incrementing the number of #. Level 1 Heading = # sampletext Level 2 Heading = ## sampletext. The markdown cell in Jupyter Notebook can display six levels of heading. For making a heading, start the syntax with # followed by a space and then the text. This will make the heading of level 1 – The biggest. There are multiple ways we can use to mention list in our Documentation while writing on Jupyiter notebook in markdown mode. And the easiest one that I recommend myself is: simple type. and give space after that write the item of the list. one. two. three and the output will display as: one; two; three.
Throughout this chapter, you will learn how to use
Jupyter Notebook to write and document your
Python code. First, you need to know how to open
Jupyter Notebook, which is done in the
It is ideal (but not required) to launch
Jupyter Notebook from the working directory where all of the notebook files that you wish to use live, so you can easily access the files you need.
jupyter notebook command requires that you have
Jupyter Notebook installed on your computer!
Jupyter Notebook was installed when you created the
earth-analytics-python environment as a part of the setup for this textbook. Be sure to activate the environment in the terminal using the command
conda activate earth-analytics-python before launching
Use Bash to Change to Your Working Directory
Begin by opening your terminal (i.e.
Git Bash for Windows or the
terminal on Mac or Linux).
Change the current working directory to your desired directory (e.g.
earth-analytics under your home directory) using
cd directory-name.You can then check that the current working directory has been updated (
Begin a Jupyter Notebook Session From the Terminal
Now you can start a new
Jupyter Notebook session by typing the command
jupyter notebook in the
NOTE: If you get an error
jupyter: command not found, this means that you have not activated the conda environment that you installed for this textbook. Be sure to activate the environment in the terminal using the command
conda activate earth-analytics-python before running the
jupyter notebook command.
When you type this command into the terminal, it will launch a local web server on your computer. This server runs the
Jupyter Notebook interface.
You will notice that the
Terminal is running commands to start your
Jupyter Notebook session. Be sure to leave the
Terminal open while you use
Jupyter Notebook. It is running a local server for
Jupyter Notebook so that you can interact with it in your web browser.
If your commands were successful, your default web browser will open with a new tab that displays your
Jupyter Notebook dashboard.
The dashboard serves as a homepage for
Jupyter Notebook. Its main purpose is to display the notebooks and files in the current directory.
Data Tip: While
Jupyter Notebook looks like an online interface, when you launch it from the terminal, like you did in this lesson, it is actually running locally on our computer. You do not need an internet connection to run
Jupyter Notebook locally.
Navigate Files Using the Jupyter Notebook Dashboard
To find files in the Jupyter Notebook dashboard, you can click on the name of a directory (e.g.
ea-bootcamp-day-1), and the dashboard will update to show you the contents of the directory.
You can return to the parent directory of your current directory in the
Jupyter Notebook session by clicking on the folder icon on the top menu bar.
Jupyter Notebook Markdown Code Block
Create New Jupyter Notebook Files
You can create new
Jupyter Notebook files (.ipynb) from the dashboard.
Matrix In Jupyter Notebook Markdown
On the top right of the dashboard, there are two buttons for
Upload allows you to import an existing
Jupyter Notebook file (.ipynb) that is not already in that directory.
You can create a new
Jupyter Notebook file (.ipynb) by clicking on
New and selecting
Python 3. A new notebook will open a new tab in your web browser.
Open Jupyter Notebook Files
You can open existing
Jupyter Notebook files (.ipynb) in the
Jupyter Notebook dashboard by clicking on the name of the file in the dashboard (e.g.
Note: if you don’t see the
Jupyter Notebook file (.ipynb) or directory that you are looking for, you may need to navigate to another directory in the dashboard (see above). You may also need to launch the
Jupyter Notebook from a different directory.
Close Your Jupyter Notebook Session
Close and Shutdown Jupyter Notebook Files
To close your
Jupyter Notebook files (.ipynb), you can close the browser tab displaying the notebook, but you still need
Shutdown the notebook from the dashboard.
Shutdown a Jupyter Notebook file (.ipynb), click in the checkbox to left of the filename. You will see an orange button named
Shutdown appear in the top left of the dashboard menu; click on it to
Shutdown any file that is checked in the list.
Shutdown the Jupyter Notebook Local Server
After all of your notebooks are closed and shut down, you can end your
Jupyter Notebook session by clicking on the QUIT button at the top right of the dashboard. You can now close the browswer tab for
If desired, you can also close your terminal by typing the command
exit and hitting Enter.
Jupyter Notebook Markdown List
NOTE: You can also shutdown a
Jupyter Notebook session by clicking in the
Terminal window and clicking Ctrl+c. You will be asked to confirm that you want to
Shutdown this notebook server (y/[n])?. Type
y and hit
Enter to confirm. Then, you can close the
Terminal by typing the command
exit and hitting Enter.