Chat streams

The Clojurians Zulip

Most of our communication takes place in specific streams at the Clojurians Zulip chat.

Small task groups often create ad-hoc streams for their task, but a lot of the communitcation takes place in more popular, long-living streams (examples below).

Most streams are public, some are private. Usually, streams are chosen to be private not for secrecy, but for focus, and for creating an atmosphere where people are comfortable talking, knowing who are listening.

This original announcement of the Clojurians Zulip by Gert Goet gives some context and explains why it makes sense for some parts of the Clojure community to move into Zulip. Scicloj followed that advice.

Relevant active streams

Here are the main scicloj-related active streams, dedicated to certain subgroups, child communities or sister communities of scicloj.

General discussion and Q&A

Dev chat of specific tools and libraries

Study groups / dev groups

For more information, see also the list of dev & study groups at the website.

General streams worth knowing about:

  • #announce - aggregation of announcements of other Clojure communication platforms (Clojureverse, Reddit /r/Clojure, etc.)

  • #beginners

  • #clojure - general Clojure discussions

  • #slack-archive - an archive of selected channels of the Clojurians Slack (if some channel you like is not there, you may ask the admins at the #zulip stream to add it)

  • #new-members - introductions of new Clojurians Zulip members

  • #zulip - discussing the Zulip platform, asking for technical help

Inactive streams of the past, that might be of interest

You may wish to learn a little bit about the concepts of Zulip streams and topics. Note that all streams and topics (and even single messages) have URLs, that you can open at separate tabs in your browser.

When joining Zulip, it is a good idea to present yourself at the #new-members / hello topic, and in general, at topics called ‘hello’ or ‘personal introductions’ at specific streams you are subscribing to, mainly this ‘hello’ topic at the #data-science stream.

When reading the feed to cactch up, it is sometimes comfortable to browse through the aggregate feed of all streams, or at the feed of a specific stream, such as #data-science.

When writing messages, it is recommended to be at the page of a specific topic, e.g. #data-science / tech.ml.dataset. That would prevent some very common mistake, of writing under the wrong topic.

You may wish to configure the streams-notifications behaviours to your taste.

To discover conversations relevant to you, you may browse and subscribe to streams. To see the feed of all public streams, including those you are not subscribed to, you can look at this URL (note that we are filtering out the huge #slack-archive stream).

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