Panel is based on Bokeh models, and because Bokeh models already had a full-blown standalone server, the task for Panel was to make Bokeh models (a) work seamlessly in Jupyter (previously they were awkward and limited in that context), (b) support other plotting libraries (by wrapping everything as a Bokeh model), and (c) have an API that's easier to use than native Bokeh for easy prototyping and design. The server is thus a work in progress, while the Jupyter integration was already solid.

Voila is based on ipywidgets running in Jupyter notebooks, and to make a standalone dashboard they had to create a standalone server that can securely execute Jupyter cells and display the results without allowing arbitrary code execution. This difference has some implications on their design and function. Panel and Voila attacked the same problem (moving easily between Jupyter and standalone server contexts) from completely opposite directions. (As someone who also has some frontend web experience I was planning to maybe try and code these and contribute, but I never find the time, and last time I looked I couldn't find a good entry point to start learning about jupyter lab's frontend code.) these are cool but it's the other small details that make a bigger difference in productivity!

It's this little things that matter 100x more than freely rearrangeable tab-grids and detachable outputs and terminals. Once you get used to little things like (a) auto-TOC/outline of current doc in a sidebar (with highlight for current running cells and other goodies), (b) auto scroll to end of output, (c) browser notifications for end of long running calculations (so you can be alerted of stuff being done while browsing in other tabs) etc. Describe how you test this program.a lot of us are practically addicted to Jupyter Notebook Extensions features and these aren't compatibly with Jupyter Lab and Jupyter Lab didn't add equivalent builtin features.

Describe the major steps for solving the problem. Describe the problem including input and output in your own words. Transcribed image text: Problem Description: Write a program that reads the following information and prints a payroll statement: Employee's name (e.g., Smith) Number of hours worked in a week (e.g., 10) Hourly pay rate (e.g., 6.75) Federal tax withholding rate (e.g., 20%) State tax withholding rate (e.g., 9%) 2 A sample run is shown below: Enter employee's name: Smith Enter number of hours worked in a week: 10 Enter hourly pay rate: 6.75 Enter federal tax withholding rate: 0.20 Enter state tax withholding rate: 0.09 Employee Name: Smith Hours Worked: 10.0 Pay Rate: $6.75 Gross Pay: $67.5 Deductions: Federal Withholding (20.0%): $13.5 State Withholding (9.0%): $6.07 Total Deduction: $19.57 1

Python jupyter notebook standalone