notebooks directory should be located in /vagrant (mapped to current directory on host system) instead of /home/vagrant

The link provided in Chapter 3, part 3.5, does no longer lead to an xlsx file. The text in the book gives a nice output, but on the webpage (https://datascienceatthecommandline.com/2e/chapter-3-obtaining-data.html#converting-microsoft-excel-spreadsheets-to-csv) it shows an error:

Let’s demonstrate in2csv using a spreadsheet that contains the 2000 most popular songs according to an annual Dutch marathon radio program Top 2000. To extract its data, you invoke in2csv as follows:

$ curl "https://www.nporadio2.nl/data/download/TOP-2000-2020.xlsx" > top2000.xls
x
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100 41744  100 41744    0     0  46024      0 --:--:-- --:--:-- --:--:-- 46228

$ in2csv top2000.xlsx | tee top2000.csv | trim
BadZipFile: File is not a zip file

Who is Danny Vera? The most popular song is supposed to be Bohemian Rhapsody, of course. Well, at least Queen appears plenty of times in the Top 2000 so I can’t really complain:

$ csvgrep top2000.csv --columns ARTIEST --regex '^Queen$' | csvlook -I ➊
StopIteration:
StopIteration:

All the AMI images on AWS are deleted. Is this project still on-going? Thanks.

-k

Hi,
I am following the instructions on Windows 10 to set the iPython notebook, but can't due this error:
vagrant@data-science-toolbox:~$ dst setup base No command 'dst' found, did you mean: Command 'tst' from package 'pvm-examples' (universe) Command 'dpt' from package 'pkg-perl-tools' (universe) Command 'dsh' from package 'dsh' (universe) Command 'gst' from package 'gnu-smalltalk' (universe) Command 'ds9' from package 'saods9' (universe) Command 'dt' from package 'ditrack' (universe) Command 'dat' from package 'liballegro4-dev' (universe) Command 'dsc' from package 'dsc-statistics-collector' (universe) Command 'dist' from package 'nmh' (universe) Command 'dot' from package 'graphviz' (main) dst: command not found
How to overcome it?

Pulling the 2nd edition's container on Windows worked nicely and the system seems to react properly.

However, there do not seem to be any files or folders in "/data" as described in the first steps of:
https://www.datascienceatthecommandline.com/2e/chapter-2-getting-started.html#essential-concepts

Thank you for your nice textbook.

For anybody else having a problem with the redefined csvlook in chapter 2.3.7 Managing Output:
After pasting it into the terminal, before executing, you have to delete all the newlines so that

csvlook () {
        /usr/bin/csvlook "$@" | trim | sed 's/- | -/──┼──/g;s/| -/├──/g;s/- |/──
┤/;s/|/│/g;2s/-/─/g'
}

becomes
csvlook () {/usr/bin/csvlook "$@" | trim | sed 's/- | -/──┼──/g;s/| -/├──/g;s/- |/──┤/;s/|/│/g;2s/-/─/g'}

I tried adding beaker notebook to the toolbox and adjusted the vagrant file to say:

config.vm.network "forwarded_port", guest: 8888, host: 8888
config.vm.network "forwarded_port", guest: 8800, host: 8800
config.vm.network "forwarded_port", guest: 8801, host: 8801

But when I try to run beaker notebook, I get a connection refused error when i try to bring up local host in the browser. How should I write the file to connect to beaker-notebook?

Can the version of IPython bundles with this box be upgraded to 2.0?

After pulling docker image and running the container, I can verify that the container does not contain any /data folder or any chapter (e.g. ch02). Please investigate this as it isfundamental.

Thanks.

Hey, small issue but not able to reset forgotten password for ipython notebook created using dst.
How to change ipython password ?

Thanks

On your Cloud setup page, in the instructions for setting up a Security Group, you have the following:

"These settings cannot be changed once the EC2 instance is running."

This is incorrect. I routinely change the port settings on running instances.

I just wanted to see if you thought 'tidy-viewer' would be worth adding.

https://github.com/alexhallam/tv

thanks

Hi just wonder if can I do a modification on the docker file to pass-thru GPU adn more resources to make EDA and ETL more faster, or if you already have one image on registry like this, what I'm struggling is in execution files sometimes with csvkit fails to parse or sniff due to memory restrictions I did a and update on docker image but is not as faster as on my host for simple heads, in the other hand to put it simple leverage my modest nvidia GPU on the image could make even faster processing on Jupiter. thanks

I've installed a couple other vagrant boxes and haven't ran into this.

I do:

vagrant init data-science-toolbox/dst

I get a Vagrantfile. Then

vagrantup

And I get:

Bringing machine 'default' up with 'virtualbox' provider...
There are errors in the configuration of this machine. Please fix
the following errors and try again:

vm:

• The box 'data-science-toolbox/dst' could not be found.

Hi,
it seems a great tool, "is like sed, awk, cut, join, and sort for name-indexed data such as CSV": http://johnkerl.org/miller/doc/index.html

Thank you