Contribute to arc64/dataharvest-2016-commandline development by creating an account on GitHub.
Contribute to arc64/dataharvest-2016-commandline development by creating an account on GitHub.
The process for packaging and publishing Python packages is subject to much community discussion and frequent change. That leads to a lot of outdated information about it floating around the interwebs. As part of my PyCon 2017 talk preparations I wrote a driver for a barcode reader that was part of the live demo in my presentation. Having never published a package to PyPI before1, I thought this would be a good opportunity to learn about the Python Package Index (PyPI) and how to use it.
I recently attended my first GrafanaCon, held in Barcelona, Spain, from 20-22 April.\nI hated it.\nTL;DR; There was a lot to hate about this conference. It was incredibly well organized, which made me feel bad about the past events in which I’ve been involved. On the second day I didn’t get my choice of meal, and they never had enough diet soda on hand. The venue was excellent, and the single track nature of the presentations meant I was exposed to amazing speakers with no other options. The worst part is that it made me want to give up my weekends to play with the new version of Grafana. The nerve.\n
This post is a start of a series I've planned about how packaging currently works in Python, what's wrong with it, and how to cope with the problems. But before I get into the meat of it, I want to ta