Open astrojuanlu opened 1 year ago
I've been thinking about how data scientists interact with open source tools. Loads of tools are OSS so why would a data scientist choose to be a an active kedroid over being active in a different community? Or indeed, active in any community.
I suppose it depends on what the activity is: answering a question on Slack is different to contributing a plugin or making a complex PR. Are we expecting too much from them though, given we are one of many communities competing for time, and maybe there isn't a huge culture for open-source contribution in many data scientists' workplaces.
I agree that having a Kedroid community would be awesome but I wonder if the effort to nurture it is greater than the benefits we accrue right now. Perhaps we can show a clear path to what you get from contributing, and make it easier to do it, as a first step. So provide some template scripts for videos, encourage blog posts and linkedin posts and flag up easy issues that a contributor could tackle.
Perhaps we can show a clear path to what you get from contributing, and make it easier to do it, as a first step. So provide some template scripts for videos, encourage blog posts and linkedin posts and flag up easy issues that a contributor could tackle.
I agree these are good starting points (plus contributing plugins of their own and helping in #questions
). We'd need them anyway for anything more sophisticated. The important thing is to be systematic about it and be tracking the success of these initiatives somehow.
Yesterday we got access to https://orbit.love/blog/announcing-orbit-champions-program-manager , it's something we can leverage.
Evidence markers