Incorporate NPS surveys into your project to have maximum insight
tl;dr Our latest project (django-nps) allows you to run continuous, rolling NPS surveys, and to segment NPS by any user attribute.
NPS (Net Promoter Score) is a well-known methodology for capturing user 'satisfaction' with your product. I won't go into the details here - there's a wealth of info elsewhere on . . .
tl;dr We’ve released django-package-monitor, a django app to make it easier to see which packages are out of date.
UPDATE: I messed up the setup.py dependencies in the original package, and the latest package depends on a source install of
semantic_version, so you will need to use the
--process-dependency-links option when installing . . .
That moment when you realise your Universally Unique Identifier... isn't.
@stevejalim – YJ Tech Lead
We like UUIDs at YJ. One use of them we're particularly fond of is sticking specific yet meaning-free labels on objects, so we don't have to worry about exposing 'walkable' integer PKs or human-readable usernames or any of that awkward stuff.
As such, we've used our own . . .
Solving the case of the missing objects
tl;dr Beware of race conditions when using async queues and accessing data which may not have been committed on the main process.
Whenever we have to update an external system (pushing out data to out CRM system, notifications to HipChat, sending emails, that sort of thing) we send the data asynchronously by queueing up a . . .
tl;dr Heroku’s filesystem is ephemeral, so be careful when running the collectstatic command - it doesn’t necessarily do what you think it does..
Our current production asset delivery setup looks like this:
- Run grunt locally to generate static files
- Commit changes to repo
- Push to Heroku
collectstaticto . . .
Does anyone round here know SQL any more?
We recently hired someone to help us with some data analysis and reporting requirements. We're not really big enough to claim that what we needed was a Data Scientist, but that is effectively what we were looking for. And as is our wont, we created a simple test for applicants, designed to show some ability to extract meaning from data . . .
BitBucket to Codeship to Heroku
Disclaimer: I'm a Continuous Deployment sceptic. I've always been suspicious of people who automatically deploy code to their live environment, and still am. Seems risky to me. See this article for more details on the difference between continuous delivery and deployment.
I've blogged before about our deployment tools, . . .