Jupyter is a web-based platform that is frequently used for data analytics/plotting, machine learning, and where code is stored in “Notebooks” that can be imported/exported and shared in a variety of formats including LaTex, HTML, PDF, and many more!
The Jupyter Notebook environment isn’t the easiest thing in the world to install and deploy. Normally, you must provide configuration files, Python environments, and a slew of other goodies. I’ve done the legwork and created a cloud-friendly Jupyter deployment that launches on boot.
What do “Cells” act like?
What would be the In[#] value of the first Cell when it is ran for the first time? (Where # would be the numerical value)
What keyboard shortcut can you press to execute a cell?
Shift + Enter
If you was to execute the first Cell again, what would the value of In[#] now become? (Where # would be the numerical value)
What are the two main types of data within Pandas?
series and dataframe
What is the name of the Pandas function that reads a CSV file?
Name the Pandas function you would use if you only wanted to display the first few rows
Name the Pandas function you would use if you only wanted to display the last few rows
What Pandas function will give you a numerical count of the amount of columns and rows the dataset contains?
How do you display a plot?
How would you label the “x” axis on a plot?
How would you label the “y” axis on a plot?
How would you add a “Title” to a plot?
What word would you use to change the color of the plot?
How would you label the “z” axis on a plot?