As-per the Discourse discussion here: https://discourse.bokeh.org/t/flatpickr-date-display-format/6630

Currently, we are constrained to the ISO yyyy-mm-dd format for the flatpickr implementation of DatePicker (post-2.0);

It would be great to expose the existing flatpickr dateForm

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

Hi,

Firstly, thank you for your work on Chart-Fx.

We are currently building an application using the library to display multiple huge datasets.
The library works well for 5 to 10 million points, however our clients would like to display even larger datas, going up to 50 to 100 million points. While it is possible to display such datasets, navigating them become difficult as the application

This challenge asks student to print an informative message if there are any records in gapminder for the year 2002. Two solutions are provided, one using any(gapminder$year == 2002) (note any() isn't introduced until later in that episode) and one much more complicated one involving counting the number of rows for the year 2002. It seems to me the only reasonable way to do this is with %in%

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

Hello,
Just to make sure you're keeping busy, a new issue ;-)

I'm trying to retrieve raw messages for particular receivers. As an example:

from datetime import datetime, timedelta
from traffic.data import opensky

data = opensky.extended(start=start_time,
                        stop=start_time + timedelta(seconds=1),
                        serials=[80391799, 1806596070] )

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

Currently all of the metrics computed are independent of a target variable or column, but if lens.summarise took the name of a column as the target variable, the output of some metrics could be more interpretable even if the target variable is not used in any kind of predictive modelling.

A good example of this could be PCA (see #14), which could plot the different categories of the target va

• Episode 11: This issue I had with Episode 11 created issue with making the first plot in Ep11. perhaps this is an error or mistake I made earlier, but this code did not work because HARV_chmCrop was not defined:
  ggplot() +
  geom_raster(data = CHM_HARV_df, aes(x = x, y = y, fill = HARV_chmCrop)) +
  scale_fill_gradientn(name = "Canopy Height", colors = terrain.colors(10)) +
  geom_sf(data

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