workshop | Learn Serverless for Kubernetes with OpenFaaS | Learning library

Sagemaker pipelines are rather unclear to me, I'm not experienced in the field of ML but I'm working on figuring out the pipeline definitions.

I have a few questions:

• Is sagemaker pipelines a stand-alone service/feature? Because I don't see any option to create them through the console, though I do see CloudFormation and CDK resources.

• Is a sagemaker pipeline essentially codepipeline? How do these integrate, how do these differ?

• There's also a Python SDK, how does this differ from the CDK and CloudFormation?

I can't seem to find any examples besides the Python SDK usage, how come?

The docs and workshops seem only to properly describe the Python SDK usage,it would be really helpful if someone could clear this up for me!

In the wonderful FBlazorShop repo, Onur Gumus is riffing off of Steve Sanderson’s Pizza Workshop with F# flavor. On line 128 of blob/master/FBlazorShop.Web.BlazorClient/Home/Home.fs [GitHub], Onur is passing an Elmish Message for the parent, HomeView, inheriting ElmishComponent , to a child, PizzaConfigView, inheriting ElmishComponent. By convention, we can see Message being converted (?) to PizzaConfigMsg with this:

Im creating a workshop manual for my motorbike and my plan is to make the main window show drawn image of the bike (see example below, picture from google) and i would be able to click certain parts of the bike. Lets say i want to see information about the engine, i could click the engine and it would open up.

Should i create an image with transparent background for each part and put them on right spots in the software? If so, how do i make them clickable by "ignoring" the background so only the visible part would be clickable?

I'm working on a d3-force visualisation, which requires data in a specific shape. I've got an array of objects, each with an array of tags.

In my Workshop application, I would like to have a bar chart with a changeable x-axis. A dropdown widget would be used to select the desired x-axis.

For this I am writing a TypeScript function, that will return the data that will feed the chart widget.

I have wrote the following function:

I would like to know how can I filter on grouped data in Foundry Functions. I already managed to group and aggregate on my data, see below:

While looking at upskilling myself, I was watching the really quite excellent ggplot2 workshop to get myself better at using the package by understanding how it works at a fundamental level.

As part of that workshop, I was struck by one of the visualisations used in the workshop as being especially useful for explaining a layered hierarchy of dependencies, and I'm looking to figure out how I could generate such a picture (ideally using R).

These two pictures show the two parts of the visualisation I'm trying to reproduce: Stacked Planes with labels:

Stacked Planes, with transparencies for most, and labels (appropriately highlighted):

I have been able to produce something similar, using rgl, but it's not nearly as nice. Given I am trying to upskill myself in ggplot2, I would like to be able to produce it using ggplot2 (or one of it's extensions), as that would enable me to control some of the "nicities" of the graphic much easier).

Is this possible using ggplot2 or an extension package?

The code for producing it in rgl is:

Whenever I am trying to run the docker images, it is exiting in immediately.

I try to compile Bootstrap 5 with sass but I think I miss importing some scss files. If I added navbar collapsing fine, but when I added my compailed css file navbar not collapsing.

Here is my navbar codes