---
# System prepended metadata

title: Internal - Python for Sci Comp 2024

---

# Internal - Python for Sci Comp 2024


:::success
## Goal for June 2024
Agree on the days and a few names for instructors
:::

## Days 

Please vote which one you prefer, or write if you cannot be there. No vote -> both are equally good
- Tue 10 + Wed 11 + Thu 12 / December
    - RD on holiday
    - OK for RB but not great (I might be in inconvenient time zone)
    - works for Gregor Decristoforo (UiT) + Jørn Dietze (UiT)
    - works for ENCCS
    - works for DI (UU)
- Tue 5 + Wed 6 + Thu 7 / November
    - good for RB
    - works for Gregor Decristoforo (UiT) + Jørn Dietze (UiT)
    - Not so applicable to ENCCS as there is a bootcamp from Nov. 4 to 8 
        - If this is the final date for the workshop, YW can co-teach 1-2 episodes depending on the arrangment of the scheduled bootcamp
    - works for DI (UU)
- ...

## Format
**Old format:** https://scicomp.aalto.fi/training/scip/python-for-scicomp-2023/
Tue+Wed+Thu+Fri, 3h/day

**New format:**
Tue+Wed+Thu, 4h/day with a 1h lunch break in between.

**Advantages of new format:** 
- less mental work for instructors, streamers, etc since it's only 3 days instead of 4
- no need to split the pandas lesson over two days (this has been a critique in the past)
- less risk that people stop coming on day 4

Disadvantages:
- ?


## People involved and roles
*If your name is here below, you will get more emails from Enrico.*

- Enrico Glerean (EG): coordinator, registration, communication with participants, teaching wherever needed
- Samantha Wittke (SW)
- Radovan Bast (RB): I would like to teach a dataviz lesson but at the same time I would like to change it to vega-altair which interfaces nicer with Pandas than matplotlib does. Happy to teach more lessons than just that one or other lessons. I like the suggestion to reduce to 3 days and to have a lunch break.
- Yonglei Wang (YW): I would like to teach 1-2 episodes and will decide the detailed teaching contents later.
- Johan Hellsvik (JH): I would like to teach one or possibly two episodes.
- Dhanya Pushpadas (DP): I would like to co-teach one/two episodes and do outreach
- Gregor Decristoforo (GD): could prepare a lecture on xarray and co-teach other episodes if needed
  - gregor.decristoforo@uit.no
- Jørn Dietze (JD): could also teach one or two episodes
  - jorn.dietze@uit.no
- Diana Iusan (DI): I could possibly teach one of the lessons; advertise to SE participants
- Aurélie Vancraeyenest (AV): I could co-teach couple of episodes (not sure yet which ones as I am not yet familiar with the course) 
## Any other comment
Please add here

