
# Additional Resources (computational skills)

## SMU Workshops

- [Upcoming Libraries and OIT workshops](https://libcal.smu.edu/calendar/?cid=-1&t=g&d=0000-00-00&cal=-1&inc=0)

- [OIT](https://www.smu.edu/OIT/Training) 

-[SMU Libraries Request a Workshop](https://www.smu.edu/libraries/help/workshops)

-[LinkedIn Learning with Lynda.com @SMU](https://www.smu.edu/OIT/Services/LinkedIn)

-[O'Reilly Learning Platform for Higher Education](https://go.oreilly.com/southern-methodist)

## External Resources 

-[Code Academy](https://www.codecademy.com/) 
-[Code Academy explainer videos](https://www.youtube.com/@codeorg)

-[Programming Historian ](https://programminghistorian.org/)

- [Khan Academy introduction to code](https://www.khanacademy.org/computing/code-org) & [computing](https://www.khanacademy.org/computing)

-[DataBasic](https://databasic.io/en/)

-[Data Fundamentals](https://pow123.github.io/UWI-Mona/02-starting-with-data.html) 

-[Software Carpentry](https://software-carpentry.org/lessons/)

* Under the Software Carpentry umbrella are:
* [Data Carpentry](https://datacarpentry.org/lessons/)
* [Library Carpentry](https://librarycarpentry.org/lessons/)

* Here is an external [command line tutorial](https://ryanstutorials.net/linuxtutorial/) if you wish to learn more.


### Python
* [Plotting and Programming in Python](https://swcarpentry.github.io/python-novice-gapminder/): This lesson is an introduction to programming in Python 3 for people with little or no previous programming experience. Via [Software Carpentry](https://software-carpentry.org/lessons/)
* [Python lessons](https://programminghistorian.org/en/lessons/?topic=python) from [Programming Historian](https://programminghistorian.org/)

## GIS and spatial data

[GIS@SMU: Initiative for Spatial Literacy](https://www.smu.edu/Libraries/fondren/services/gis)

[Spatial Data Science with R](https://www.rspatial.org/)


  
