As we have already announced, access to trainings is not included in our regular conference tickets this year. We have done this to keep the conference ticket prices reasonable, acknowledge the value in the trainings are and to add more flexibility.
Two full days of trainings included
Training passes allow you to access all trainings on the two training days, Monday and Tuesday. Each training will run for 3 hours and they will be scheduled in 3 parallel tracks.
Please note: Training access is on a first-come-first-served basis. We don’t provide registration for specific training sessions.
A light lunch is served on the training days, which is included in the training pass price.
- Business training pass: EUR 295.00 excl. VAT, EUR 354.00 incl. 20% UK VAT
(for people using Python to make a living)
- Personal training pass: EUR 175.00 incl. 20% UK VAT
(for people enjoying Python from home)
- Student training pass: EUR 125.00 incl. 20% UK VAT
(only available for pupils, students and postdoctoral researchers; please bring your student card or declaration from University, stating your affiliation, starting and end dates of your contract)
The trainings pass does not grant you permission to attend the main EuroPython conference days or the sprints. Please get a separate conference ticket for this.
Available training sessions
We have already selected an initial set of trainings, you can view on our session list:
We will also have a few sponsored trainings, which are free (you don’t need a training pass to attend these). These will be announced in a separate blog post.
Only a limited number of training passes available
Since we don’t want to overbook the trainings sessions, we have limited the number of training passes to 200.
Training pass sales will start on Friday, June 8, at around 12:00 CEST.
(that’s 10:00 UTC, 11:00 BST, 13:00 EEST, …)
Given the experience with the early bird tickets, which sold out in less than 45 minutes, we recommend to get your ticket as soon as you can.
Regular conference tickets are selling out much faster than last year as well, so the same recommendation applies to those as well.
EuroPython 2018 Team