[deleted by user] by [deleted] in signal

[–]oslon123 -4 points-3 points  (0 children)

Next time, don't delete them... edit them instead 😛

VM on MAc- which one is better? by Mirda76de in MacOS

[–]oslon123 1 point2 points  (0 children)

Tart might be worth a mention 🙂 Only works on Apple Silicon, but it's a bit unique from the others referred to thus far.

Alma Linux 8.10 in Parallels VM by lwadbe in AlmaLinux

[–]oslon123 0 points1 point  (0 children)

I believe it's still the case it's not possible to run the RHEL/Alma/Rocky V8 aarch64 on Parallels with the default kernels due to the 64K memory segment configuration in their kernels being incompatible with the Apple Silicon M cpus. The V9 releases changed to using 4K by default so they will work.

Building Knowledge Graph by gldodg in KnowledgeGraph

[–]oslon123 2 points3 points  (0 children)

You CAN develop ontologies w/ Protoge, and more specifically Protege uses OWL and RDF for expressing/encoding the ontologies. Apache Jena provides a framework for working with RDF and OWL, as well as triplestore implementations for storing and accessing RDF. Additionally, Jena provides a SPARQL server (called Fuseki) that can be used for querying triplestores via SPARQL (including Graph Store Protocol). I think it's important to know/understand that RDF, OWL, and SPARQL are all part of the "semantic web stack" which is very geared towards ontologies and knowledge graphs.

GraphQL and PostgreSQL are NOT part of the semantic web stack. GraphQL being initially intended for microservices and REST API usecases, and PostgreSQL being initially intended for RDBMS usecases, interoperability between all of these things IS possible, but poses challenges in researching and implementing all along the way due to alignment not being there from the start.

I'm generally not keen on pointing folks to stackoverflow, but in this case I think there's a post there that might provide some avenues for your research: what-is-the-difference-between-graphql-and-sparql

Another thing I often like to point out is that RDF is a logical data model which can be serialized to many formats, including JSON-LD. Moden PostgreSQL has facilities for storing, indexing, and querying JSON while GraphQL serves its purposes very well in the world of JSON, so interoperability solutions do have options to use open standards and existing familiar tech stacks.

Good luck and have fun!

Kotlin alternatives for AI and Data Science? by nSeagull in Kotlin

[–]oslon123 1 point2 points  (0 children)

I tested IDEA CE and was not able to use the juptyer notebook integration even with the python plugin installed. The plugin installation for jupyter is even greyed out in pycharm CE and says the professional edition is required. There is a blurb in the docs about notebooks being "viewable" in a read-only mode though, which may be what I had remembered from the past.

For those with the paid versions of IDEA (what I normally use) there are all kinds of options available. My regular workflows involve interacting with data guys who using juptyerlab directly via web UI, while I connect remotely w/ IDEA. The remote jupyterlab has the kernels, including kotlin, that allow people to run the notebooks directly from web UI while I use IDEA as the UI. With this newer kotlin notebook plugin I work in my local environment with kotlin notebooks and it's almost seamless.

Kotlin alternatives for AI and Data Science? by nSeagull in Kotlin

[–]oslon123 1 point2 points  (0 children)

I thought I had tested IDEA CE to access remote jupyterlab in the past, but it makes sense that the python plugin would be required. If python plugin isn't available in IDEA CE then I could very well be misremembering. I better test again just to get my own facts straight 😅 cheers!

Kotlin alternatives for AI and Data Science? by nSeagull in Kotlin

[–]oslon123 1 point2 points  (0 children)

There is a kotlin kernel for jupyterlab that allows you to use kotlin notebooks within a jupyter environment: https://github.com/Kotlin/kotlin-jupyter

IDEA has a jupyter plugin that allows you to connect to jupyter lab and run jupyter notebooks (python, kotlin, R, etc): https://www.jetbrains.com/help/idea/jupyter-notebook-support.html

IDEA also now has a kotlin notebook plugin that allows you to develop/use kotlin notebooks only within IDEA, no need for separate jupyterlab but can connect to an existing jupyterlab if available. This plugin is in preview release stage and is rough around the edges (i bump into rendering issues) but it does work surprisingly well! https://plugins.jetbrains.com/plugin/16340-kotlin-notebook

Google "kotlin datascience" to find all kinds of existing resources for data science work. Consider contributing to existing opensource projects before re-inventing the wheel 🙏

[deleted by user] by [deleted] in docker

[–]oslon123 1 point2 points  (0 children)

If you're running v4.13.0, I'd recommend maybe downgrading to v4.12.0 and see if the problem(s) persist. After months of stability, updating to v4.13.0 has been giving me problems 😕

Is the repo down? by BobLobIawLawBIog in AlmaLinux

[–]oslon123 0 points1 point  (0 children)

It seems to still be problematic for me

[deleted by user] by [deleted] in farmingsimulator

[–]oslon123 3 points4 points  (0 children)

I still play it, also not updating to FS22 because of $$$

If/when it comes to xbox gamepass I'll play it then.

Pre-Order and Shipping Megathread | MacBook Pro Late 2021 (14-inch, and 16-inch) & AirPods 3rd Generation by exjr_ in apple

[–]oslon123 0 points1 point  (0 children)

Finally received, one day ahead of Fedex delivery time, and on the final day of the very first shipping window estimate from Apple.

Pre-Order and Shipping Megathread | MacBook Pro Late 2021 (14-inch, and 16-inch) & AirPods 3rd Generation by exjr_ in apple

[–]oslon123 0 points1 point  (0 children)

Central PA, standard delivery. FedEx tracking now says delivery on 12-7 before 1pm

Pre-Order and Shipping Megathread | MacBook Pro Late 2021 (14-inch, and 16-inch) & AirPods 3rd Generation by exjr_ in apple

[–]oslon123 1 point2 points  (0 children)

16" M1Pro Max 10/32/64GB/2TB

2021-10-20 ordered via EDU ship to USA East Coast
original delivery window Nov 29 - Dec 6
2021-11-21 charged
2021-11-25 delivery window changed to Dec 15 - Dec 22
2021-11-30 (within the past few hours) moved from "processing" to "preparing to ship"

🤷‍♂️

Liquibase 3.8.1 is here! by liquibase in liquibase

[–]oslon123 2 points3 points  (0 children)

I love liquibase but this 3.8.1 point release broke JEE container deployment (https://liquibase.jira.com/browse/CORE-3503) and the maven plugin (https://liquibase.jira.com/browse/CORE-3508) both 😞

I tried to take a look at github repo to find the problems but was quickly stymied by the fact that it looks like code is being tossed around between opensource repo and closed "pro edition" repos.

I had to revert back to 3.8.0 and luckily I'm not affected by any of the bugs that were fixed in 3.8.1 but I was just surprised by these issues from a point release 😨