lesson

Hello,
In "Working with Files and Directories" under "Good names for files and directories" I think it would be good advice to suggest that file names contain only lower case letters. If nothing else, it would be worthwhile to emphasize the importance of being consistent with letter case when choosing file names.
My understanding is that Unix is always case sensitive, while Windows is not, an

There are a few mentions of pressing Return in the lesson in https://swcarpentry.github.io/git-novice/02-setup/index.html:

• As with other keys, when you hit Return on your keyboard...
• If you haven’t used Vim before and wish to exit a session without saving your changes, press Esc then type :q! and hit Return

In many keyboard layouts, Return is labelled as Enter or even a symbol. I'd sugg

In the Data visualization with ggplot2 episode, both ggplot and ggplot2 are referred to. Are these both the same thing? The lesson should clarify this.

NB: Good first issue label (cannot be added because not in contributor list)

Exercise Reading error Messages - Lesson "Error and Exceptions"
(http://swcarpentry.github.io/python-novice-inflammation/09-errors/index.html)

• As dictionaries are not introduced previously in lesson (maybe a consequence of reducing the lesson) I suggest the following:

1. Moving this exercise at the end of th

In this episode, participants are shown various examples of subsetting a factor in the "Factor subsetting" section.
One of the last comments is "Skipping elements will not remove the level even if no more of that category exists in the factor:"
f[-3]
I felt that this comment begs the question: How do we drop the levels of a factor?
Perhaps a line of code stating that levels can be dropped us

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

• 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

Currently the episode 15 reflections text expects to happen after we go over functions but due to lesson episode reordering this is no longer the case. We either need to come up with other reflections or move the break after functions (which might be too long)

https://swcarpentry.github.io/python-novice-gapminder/15-coffee/index.html

https://swcarpentry.github.io/python-novice-gapminder/16-w

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

Currently SAFI.json is stored here
and here

The first also contains SAFI_clean.csv.

Need to make sure (1) references to data directory in lesson are consistent and (2) there is only one data directory