Relevant lessons out there

[DamienIrving]

I'm going to use this issue to keep a list of other relevant lessons out there. At the moment I've got:

• https://annefou.github.io/metos_python/

[DamienIrving]

Here's one for people who have never used Python before:
https://swcarpentry.github.io/python-novice-gapminder/

[DamienIrving]

Here's a list from the pangeo people: https://github.com/pangeo-data/education-material

[DamienIrving]

The most mature lessons I've seen are the Siphon / Metpy lessons from unidata:
https://unidata.github.io/python-workshop/

They have links to other relevant lessons on their general training page:
https://unidata.github.io/python-training/

[DamienIrving]

Here is a lesson on conda: https://kaust-vislab.github.io/introduction-to-conda-for-data-scientists/index.html

[DamienIrving]

In terms of geospatial lessons:

• Data Carpentry are developing a geospatial Python lesson to go with their well developed R geospatial lessons: https://github.com/carpentries-incubator/geospatial-python
• There's a new textbook: https://pythongis.org/

[DamienIrving]

The ARC Centre of Excellence for Climate Extremes have lessons on parallel processing:
https://coecms-training.github.io/parallel

All their training materials are at:
https://github.com/coecms-training