Introduction to Deepnote for BA Workshop Participants
Where am I?
Deepnote is an online data science notebook which can be used collaboratively for development and analysis. We'll be using this environment throughout the Business Analytics workshop to get a hands-on approach to the discussed curriculum.
What do I need to know?
- Well the first step is already done, you have already made sure that our links to this notebook work and are accessible on your computer!
- Learn the very basic of how to maneuver around this notebook
- To finzliate your sgn-up to the workshop you must add your name to the participents list at the very bottom
What is all this stuff?
A cell is a box where we do most of our work here. They are blocks of text which we can display or a chunk of code that executes a series of commands, including producing visualizations and graphs.
This text, for example, is written in a cell--click anywhere on this text to see the cell highlighted
Types of cells
As mentioned above, the 2 main types of cells that we use are Text blocks and Code blocks
Everything that you have seen so far has been written in text blocks.
Running a cell
For text blocks the mens display what is written, for code blocks it meands execute the commands
Your turn! Edit and Run this cell
- Double-tap on this cell to edit it, type in any small note to everyone next to the numbers
- Press shift-->ented or "render" from the right-side menu to run the cell.
You can also add a text block by pressing Command+J on your keyboard
The following cells are code blocks which include simple and intutive arithmetic operations. Run all of them to execute the operations and try adding a new code block by pressing Control+K
These are the very basics of deepnote and have prepared the application sections of our workshop!
Final Very Important Step to Sign-up (15-person limit)
Add your full name to the participant list below by editing the cell. You already know how to do this :)
See you at the workshop!
Saturday, January 30 10:00AM - 11:30AM PST
Sunday, January 31 10:00AM - 11:30AM PST