Congratulations on the release! I have a question about the YAML DSL for ESC. Yaml is pretty convenient and easy to read when there isn't a lot of nesting but it can become unwieldy quickly and hard to make sense of, especially when you are referencing other fields. How good is the linting/intellisense to figure out if you are making a mistake in your references without having to compile?
I really like Apache Drill. I used it about 4 years ago as an MPP SQL on Anything Engine. Presto took a lot of that momentum away and MapR failed to adapt to the new age kind of meant EOL for the project. I hope someone else picks it up.
1. I'm usually down on dark-mode but this looks clean as hell
2. The JupyterHub integration looks nice! It was mentioned in the article it was the "tip of the iceberg" I'm wondering how hard it would be to integrate with a tool like Observable.
We have a subscription (For about 3 months) and it's been a great value for us. We order things like bread, some staples for our 2-year-old and some other packaged goods for about $40 a week. Walmart uses DoorDash for delivery in our area and we can usually place an order and have it delivered 2-3 hours later.
One negative aspect of using the service is Walmart seems to have a hard time knowing what will be in stock even a few hours from order. Every order we've done (around 12) has had a missing item due to it being out of stock.
I must say this is the first time I've been really impressed by a client-side, real-time implementation. The API is simple and I can imagine building something real-time without thinking about the translation from one protocol to another like I would with web-sockets for example. I've never written a line of Elixir, but this is interesting enough for me to try it.
I've been an Evernote premium subscriber for 4 years. I love Evernote and use it everyday. I haven't found a tool with as high quality of a web clipper, great search and optical character recognition and intergrations with everything. Will be sad to see it go if it does.
My background: B.A. In Math and Economics. Been working as a software engineer for 6 years now. I have been in the program for about 1.5 years. I've really enjoyed it and learned a ton. I've also been able to pay the full cost of tuition out of pocket. I agree with others in the thread that it depends on context.
I don't think it will have an immediate impact on my earnings or place in my company, but I think the long term value of having it far exceeds what I'm paying for it.
I've had similar experience with startup and installation while running on Packet with much more beefy machines. Overall, DCOS is really nice to have but it is not without it's headaches so far.
I've written a few blog posts where I used Rvest to get data and R's great visualization tools to visualize it. R has a ton of issues as a platform and language but this is a fantastic package and it has a great ecosystem for small data (the majority of data).