You should have a Python 3 notebook open, if not take a look at the setup page (the previous page in the schedule).
Jupyter provides a nice web-based interface to Python. In the below cells you can type a line of Python. For example, here we type in
a = 5
When we press SHIFT+Return
this Python line is interpreted interactively
a = 5
To see that this has worked, let's print the value of a
print(a)
You can type whatever Python you want, and it will be evaluated interactively. For example...
b = 10
print(a + b)
One of the cool things about a Jupyter Python notebook is that you can edit the above cells and re-execute them. For example, change the value of b
above and re-execute the lines [3] and [4] (by selecting the cell and pressing SHIFT+Return
).
Another useful feature is that you can mix documentation into your notebook. Do this by selecting a cell from the menu bar and using the dropdown menu (on the toolbar at the top) to change the cell type to markdown. You can now add documentation, using markdown formatting. For example, use the hash symbol for headers.
Typing
# This is a big header
## This is a subheading
### This is a sub-sub-heading
and pressing Shift + Return
results in:
You can add in hyperlinks using square brackets and round brackets. For example
[link to github](https://github.com)
produces: