fill in tutorial 1-3

tutorials/t1.qmd

@@ -3,3 +3,29 @@ title: "Tutorial 1"
 ---
 
 Computer Setup Help, Bash, and Git
+
+## Create a repository
+
+- Create a new repository on GitHub (e.g., `YYYY-MM-DD-git`).
+  You can create it with an existing `README.md` file (or create a new one later)
+
+:::{.callout-tip}
+Creating a repository with a date is a quick way to make a unique name
+where you can practice and redo a tutorial again in the future.
+:::
+
+- Clone down the repository to your local computer
+
+## Make Changes to a file
+
+- Create a `README.md` file if you don't have one already
+- Edit the `README.md` file by adding a line about your favorite food
+- Add / commit / push your changes up to github
+
+## Update changes from remote
+
+- Now edit the `README.md` file on the remote github repository
+- Add a new line by naming your favorite color
+- Commit the changes on github.com
+- Confirm your changes in github.com are made in the web interface
+- pull down your changes to your local computer

tutorials/t3.qmd

@@ -2,4 +2,39 @@
 title: "Tutorial 3"
 ---
 
-Python and R Environments
+Here we'll practice with programming language environments.
+
+If `conda` and python does not apply to you, you may skip the `conda` and python portion of the tutorial.
+If you are taking, have taken,
+or planning to take a class that uses python it will still be worth practicing and familiarizing yourself with conda environments.
+
+
+
+## R Environments: renv
+
+1. Open up RStudio
+2. run `getwd()` in the r console, and note the default starting working directory in R when not in a project.
+3. Create an RStudio Project (either from an existing folder, or create a new folder)
+3. run `getwd()` again and see how the working directory changes
+4. Install the `renv` package (if you do not have it installed)
+5. Note all the current installed R packages you have in the packages panel
+6. Run the `renv::init()` in the current project (you can also choose to `library(renv)` and then `init()` as 2 separate steps
+7. Now note the packages in the package panel
+8. Install the `palmerpenguins` package in R
+9. Library the `palmerpenguins` package
+10. you should now have access to the `penguins` dataframe
+11. update the lock file with `renv::snapshot()`
+12. Open a new RStudio or close the current project
+13. You should not be in your project now, and notice the packages listed listed. And notice how the packages change again when you open up the project you just made
+
+
+
+## Python Environments: conda
+
+1. Open up a terminal, you should be in a conda base environment
+2. Run `python --version` and `which python` to check the python version you have and which one is actually being used
+3.  create a new conda environment with a different python version from the one you currently have in base
+4. activate this environment
+5. install jupyterlab and pandas in the new environment
+6. create an environment.yml file for your new environment. it should only list the packages you explicitly installed (not list dependencies)
+7. deactivate your python environment

tutorials/t4.qmd

@@ -2,7 +2,9 @@
 title: "Tutorial 4"
 ---
 
-Virtual environments and docker containers
+Virtual environments and docker containers.
+We'll practice creating virtual environments again (just like last tutorial),
+so we can compare it with creating docker containers.
 
 ## R Environments