coursier VS pgcli

This is an upstream page size issue, equivalent issue here: https://github.com/coursier/coursier/issues/2636

I feel like this is already is the case, one can use coursier https://get-coursier.io/ or scala-cli to get started with Scala extremely fast.

I had a nice workflow installing different Java versions using SDKMAN but switched to Coursier because that't what's recommended in the Almond installation guide. In order to run `jupter lab` and start up the notebook environment, I need to separately install Jupyter Lab via conda (and activate that conda environment).

Could a Java project use a similar scheme? Probably, but the practicality of that is dependent on programatic resolution tools like coursier which don't exist in a convenient form for Java programmers quite yet.

Shell for issuing SQL to relational databases via JDBCIf you have Coursier installed, you can quickly connect to a demo Hypersonic database with:

This seems the same thing: - https://github.com/oracle/graal/issues/4479 - https://github.com/coursier/coursier/issues/2395

I use coursier to install scala. https://get-coursier.io/

If you truly must avoid it, then take a look at coursier and ammonite: https://get-coursier.io/ and cs launch com.lihaoyi:ammonite_2.13.1:2.0.4 -M ammonite.Main

I'm digging a bit deeper on this Google Artifact Repository task and it looks like it won't. See https://github.com/coursier/coursier/issues/1987 for more details.

Home: http://pgcli.com

pip install git+https://github.com/dbcli/pgcli@main

pgcli is like DataGrip on your terminal.

If you want to know more about pgcli tool/package in Python, you can it's documentation webpage or the GitHub repository.

In what way did it blow up? You must have hit a bug, using .pg_service should work. Would you care to open an issue on https://github.com/dbcli/pgcli/issues or just dump the error message here so we can investigate?