More recipes in the cookbook: hooks, serialization, debugging, logging, and parametrization.
General improvements to the documentation organization.
Ploomber analyzes your scripts and notebooks before execution to detect potential issues.
Log to a file with the ālog-file/-F option.
Mobile-friendly documentation.
For a detailed list of changes, check out the changelog.
š Upcoming Events
Eduardo is speaking at PyData Global 2021 on October 28th. Heāll be presenting a practical framework for testing ML projects. Check out theĀ talk information here. And, of course, heāll be using Ploomber for theĀ code examples.
Filip from Evidation Health is also speaking at PyData Global 2021. Heāll be presenting a case study of anĀ influenza monitoring systemĀ he developed using Ploomber.
Weāre are presenting at ODSC West 2021 on November 18th, one of the largest industry Data Science conferences.
Eduardo is presenting at PyCon Chile on November 7th, heāll be developing and deploying a pipeline with Ploomber in 20 minutes!
Weāll be participating in HackTX 2021 (the annual hackathon at the University of Texas) and VolHacks V (the annual hackathon at the University of Tennesse)!
š„ Recordings
The recording from ourĀ workshop at Vancouver DatajamĀ is out! A 2-hour session where we taught the basics of Ploomber and some advanced features.Ā
We presented at theĀ PyData Chicago Meetup. The talk introduces the projectās motivations and gives a high-level overview of some of the features.
The recording from theĀ EuroPython 2021Ā talk is out! In this talk, Eduardo develops and deploys a Machine Learning pipeline in 30 minutes! To demonstrate how Ploomber accelerates pipeline development.
āļø Blog posts
ICYMI, we publishedĀ a guest blog postĀ in the official Jupyter blog!
If you havenāt done so, consider joining our Slack community, where we can answer your questions and get your feedback. Please show your support with a āļø on GitHub.
