The first episode is more a description of "a" version control system, rather than of Git. I think that's useful as this is the first exposure of many learners to the concept. Also, the model based on diffs in not completely accurate for Git. A compromise to be both accurate and keep it simple could be to change the second objective to reflect this. So, what about?

Understand the basics

This suggestion is especially with respect to Windows machines.

We recently set up the software carpentry webpage for our upcoming SWC session. I like that there were step by step instructions for the attendees on how to install Git Bash, nano and Anaconda to get ready for the workshop. There are also video tutorials which are quite helpful.

However, I notice that on the Unix Shell lesson s

I suggest either adding a short code piece to use the rename() function to change the column "genus" to "genera" (thus alerting the learners to their relationship here, while adding a new function) or changing the column name in the original dataset. Otherwise, I've found that using the correct plural for genus confuses learners who are not biologists. Although it's the R ecology lesson and one

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

Hi there,

I've been working through the materials as part of instructor training and just have a few suggestions for edits and corrections for the Writing Good Software episode text (https://swcarpentry.github.io/r-novice-gapminder/16-wrap-up/index.html).

Structure your project folder: First paragraph

'This' in place of 'It':

ItThis can be done completely manually, or with th

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 episode 3 (https://datacarpentry.org/python-ecology-lesson/03-index-slice-subset/index.html, actually listed as 4. in https://datacarpentry.org/python-ecology-lesson/ ), the distinction between .iloc method for accessing entries by position and .loc to access them by identifier is made, but a third possibility is shown with surveys_df[0:3], which accesses the indices by position.

That

I'm a member of The Carpentries staff and I'm submitting this issue on behalf of another member of the community. In most cases I won't be able to follow up or provide more details other that what I'm providing below.

Hi,

As part of the checkout process for carpentries, it is encouraged that we provide feedback to one of the modules. Going through the Python Novice Mindgap section on li

A small thing, and not very important, but it seems redundant to end every episodes title with "in R" since the name of the lesson is "Introduction to Geospatial Raster and Vector Data with R" and all the episodes use R. Furthermore, there are three episodes that don't say "in R" that do in fact use R....

Have you taught this lesson? One way you can help us improve it is by filing issues here about typos you've discovered, but you can also help us fill out the instructor notes!

• What did you find difficult?
• Where was it too fast?
• What exercises could be improved?
• What did learners struggle with?
• What did you emphasize? W

The Survey table has a field called quant that holds what type of reading was taken. The values in this column are rad, sal, and temp. There is no legend that explains what these mean on the page where the data is introduced (the selecting data chapter). Much later in the course it's mentioned that these mean 'radiation', 'salinity' and 'temperature', but I think it would also be helpful