lesson

The Unix Shell, Episode 05 line 48 (https://swcarpentry.github.io/shell-novice/05-loop/index.html).

I just think that It may be useful to add a note explaning that the general for loop (see below) should give an erro as "thing" and "ist_of_things" do not exist in our working directory.

for thing in list_of_things
do
operation_using $thing # Indentation within the loop is not requir

In Episode 8: Collaborating, there are many gendered pronouns that should be changed to better fit with the model of inclusivity that the Carpentries has built.

To accept access to the Owner’s repo, the Collaborator needs to go to https://github.com/notifications. Once there she can accept access to the Owner’s repo.

• The s

My comment is specifically about the example code showing how to add points to a ggplot boxplot. It's possible this is something that was fixed in an update to R or the ggplot2 package, but I know historically there have been issues with using geom_jitter and geom_boxplot together and these combined functions causing outlier points to duplicate.

I realize the code in the episode takes care of

For context, see swcarpentry/python-novice-inflammation#887

Maintainers would like to solicit contributions to update episode 1 with examples more relevant to the inflammation story.

• I felt like nunique was arbitrarily (re)introduced when it was necessary. It wouldn't be top-of-mind for students solving problems.
• The lesson answers need to be adjacent to the exercises.
• I like the pre-introduction of masks and then circling back around to explain them.
• I feel like Part 4 needs to be broken up and integrated across other lessons: it felt thin on its own.
• Horizo

The Introduction to R and RStudio of R for Reproducible Scientific Analysis introduces arithmetic calculations as the simplest way to use R. I think the section [Using R as a Calculator](https://swcarpentry.github.io/r-novice-gapminder/01-rstudio-intro/index.html#usi

Admittedly, I'm not a pythonista, but I wonder whether there would be value in using bash versions of the three python scripts. For whatever reason, I'm running into problems with getting python installed correctly on my Mac. Once I got it pointed in the right direct, I ran into problems with installing numpy. It's quickly becoming a tutorial on installing python rather than make :)

I suspect the

Dear Community,

There is a typo in the section titled "The StringsAsFactors argument" after the second block of code that demonstrates the use of the str() function. Right after the code boxes is written "We can see that the $Color and $State columns are factors and $Speed is a numeric column", but the box shows that the $Color column is a vector of strings.

Regards,

Rodolfo

In the second episode I believe that it would be more usefull to have the sections "Python is case-sensitive" and "Use meaningful variable names" right after "Use variables to store values". It would keep all the information and instructions for using and allocating variables in one place before going into printing and slicing.

Help Wanted to Fix:

• "Utilize" could be "use" throughout. (#353)
• Sometimes we emphasize terms with italics, sometimes with boldface. "The cloud" on 11-hpc-intro is bold, and "The cloud" on 12-cluster is italics. Any significance to the difference? Any preference on just using one?
• Should images be linked as "../fig/" instead of "fig/" ?
• Consistent use of "log in to

In episode _episodes_rmd/12-time-series-raster.Rmd

There is a big chunk of code that can probably be made to look nicer via dplyr:

# Plot RGB data for Julian day 133
 RGB_133 <- stack("data/NEON-DS-Landsat-NDVI/HARV/2011/RGB/133_HARV_landRGB.tif")
 RGB_133_df <- raster::as.data.frame(RGB_133, xy = TRUE)
 quantiles = c(0.02, 0.98)
 r <- quantile(RGB_133_df$X133_HARV_landRGB.1, q

The Setup section (https://datacarpentry.org/r-socialsci/setup.html) probably needs to be updated to make references to Rtools in the Windows instructions. As noted in the CRAN repository "Starting with R 4.0.0 (released April 2020), R for Windows uses a toolchain bundle called rtools4." As I discovered through a recent install in a new machine not having gone through this process gave me problems

In Setup:
https://carpentries-incubator.github.io/geospatial-python/setup.html

Several times, in assisting with this and similar lessons using Anaconda, I have found that it's best to recommend that the learner check off the option "Add Anaconda to my PATH environment variable" in addition to leaving checked the "Register Anaconda as my default Python 3.x" option. It solves a lot of eventual G