There are a ton of recommendation lists out there right now, each with a ton of titles. While it's nice to see that the topic is being addressed by so many different voices and from so many different angles, it can also make it so that it's difficult to know where to start or where to go next.

I'm curious as to which books about racism people here would recommend. Please share not only what the books you've chosen are about specifically, but why you are choosing to recommend them.

Take the term "evil" lightly if you wish -- it doesn't have to be the worst of the worst but instead can just be something that you don't like or support. Despite this, you also think yields value or is something you/we can't do without, which is what makes it "necessary".

The question is open to any field or topic, and any example, big or small. It can also be situational as well, rather than absolute.

A simple example for me would be flossing, which I hate doing but which is great for dental health. (This is also somewhat contrived since I actually love using my water flosser, but that's beside the point).

Explain what you chose and why you think it fits the description of "necessary evil".

Not leaving the house much these days (due to social distancing and also insane heat in NYC right now) means I've got some time to kill that I'd like to spend productively.

I took MIT 6.00.2x: Introduction to Computational Thinking and Data Science a few years back when I was refreshing my Python skills. I think it's been updated a bit since then. It was a high quality course and I enjoyed it, though there are so many Python-related courses these days, I can't guarantee it's the best.

I'm currently taking:

1. Model Thinking on Coursera from the University of Michigan. I don't know where I saw this recommended (maybe on Tildes or Hacker News?) but it's quite good so far. Scott Page teaches about how to use various models (mental models, computational ones, etc.) for breaking down and analyzing various problems and systems. I've only just started but I quite like it.

2. Testing and Monitoring Machine Learning Model Deployments on Udemy. Taking this along with a few coworkers since it's relevant to what I do. Only just starting but appears to be quite good and works through a well-documented example project on Github.

I've also come across a few that seem like they might be good courses for the future:

• Bayesian Methods for Hackers
• Probalistic graphical models on Coursera (3-part sequence, not free)
• Computational probability and inference

Now your turn: what have you taken? What did you like or not like, and why? What do you want to take?

This idea is inspired (at least for me, there are probably actual forums like Tildes to draw better comparisons to and take better inspiration from) by Danbooru (P.S: This image is just SFW scenery but the site as a whole is not) , where they have meta tags for stuff like image resolution, if it has commentary, it it's translated, animated, GIF, etc.

Should we consider that but for tags like long and short read or watch, videos, reposts/duplicate posts, spoiler threads, recurring.[ ], maybe news article authors too (also appropriated from Danbooru), since these can supercede any topic or group and will rarely be suggested in any single one of them?

If it's not clear what that looks like, imagine all the normal tags being suggested/typeable at the top and all the meta tags being suggested in a separate search box just below the current one, which are displayed regardless of which group you're in, since they can apply to all the site.

General Programming Q&A thread! Ask any questions about programming, answer the questions of other users, or post suggestions for future threads.

Don't forget to format your code using the triple backticks or tildes:

Here is my schema:

```sql
CREATE TABLE article_to_warehouse (
  article_id   INTEGER
, warehouse_id INTEGER
)
;
```

How do I add a `UNIQUE` constraint?

Have you watched any TV shows recently you want to discuss? Any shows you want to recommend or are hyped about? Feel free to discuss anything here.

Please just try to provide fair warning of spoilers if you can.