Colophon

In this appendix chapter, we provide details on the package versions used in this edition. We rendered the book with quarto (Allaire et al. 2022) and host it via GitHub Pages; the complete source is available from GitHub. Select your language below to see the corresponding package versions.

This version of the book was built with R (R Core Team 2022) version 4.6.1 (2026-06-24, Happy Hop) and the following packages. We generated all R plots using ggplot2 and its minimal theme (theme_minimal()).

Package Version
RPostgres 1.4.10
RSQLite 3.53.3
broom 1.0.13
brulee 1.1.0
dbplyr 2.6.0
dplyr 1.2.1
fixest 0.14.2
fmpapi 1.0.1
forcats 1.0.1
furrr 0.4.0
ggplot2 4.0.3
ggrepel 0.9.8
glmnet 5.0
httr2 1.2.3
jsonlite 2.0.0
kableExtra 1.4.0
lmtest 0.9-40
nanoparquet 0.5.1
nloptr 2.2.1
purrr 1.2.2
ranger 0.18.0
readr 2.2.0
readxl 1.5.0
renv 1.2.3
rlang 1.2.0
rmarkdown 2.31
sandwich 3.1-1
scales 1.4.0
slider 0.3.3
stringr 1.6.0
svglite 2.2.2
tibble 3.3.1
tidyfinance 0.8.0
tidymodels 1.5.0
tidyr 1.3.2
tidyverse 2.0.0
timetk 2.9.1
torch 0.17.0
wesanderson 0.3.7

The book was built with Python (Python Software Foundation 2023) version 3.11.13 and the following packages:

Package Version
adjusttext 1.4.0
anyio 4.14.1
appnope 0.1.4
argon2-cffi 25.1.0
argon2-cffi-bindings 25.1.0
arrow 1.4.0
asttokens 3.0.1
async-lru 2.3.0
attrs 26.1.0
babel 2.18.0
beautifulsoup4 4.15.0
bleach 6.4.0
certifi 2026.6.17
cffi 2.0.0
charset-normalizer 3.4.7
click 8.4.2
colorama 0.4.6
comm 0.2.3
contourpy 1.3.3
curl-cffi 0.15.0
cycler 0.12.1
debugpy 1.8.21
decorator 5.3.1
defusedxml 0.7.1
dotenv 0.9.9
executing 2.2.1
faicons 0.2.2
fastexcel 0.20.2
fastjsonschema 2.21.2
fmpapi 1.0.0
fonttools 4.63.0
formulaic 1.2.2
fqdn 1.5.1
great-tables 0.22.0
greenlet 3.5.3
h11 0.16.0
htmltools 0.7.0
httpcore 1.0.9
httpimport 1.4.1
httpx 0.28.1
idna 3.18
importlib-metadata 9.0.0
importlib-resources 7.1.0
interface-meta 2.0.1
ipykernel 7.3.0
ipython 9.15.0
ipython-pygments-lexers 1.1.1
ipywidgets 8.1.8
isoduration 20.11.0
jedi 0.20.0
jinja2 3.1.6
joblib 1.5.3
json5 0.15.0
jsonpointer 3.1.1
jsonschema 4.26.0
jsonschema-specifications 2025.9.1
jupyter 1.1.1
jupyter-builder 1.0.2
jupyter-cache 1.0.1
jupyter-client 8.9.1
jupyter-console 6.6.3
jupyter-core 5.9.1
jupyter-events 0.12.1
jupyter-lsp 2.3.1
jupyter-server 2.20.0
jupyter-server-terminals 0.5.4
jupyterlab 4.6.1
jupyterlab-pygments 0.3.0
jupyterlab-server 2.28.0
jupyterlab-widgets 3.0.16
kiwisolver 1.5.0
lark 1.3.1
llvmlite 0.48.0
lxml 6.1.1
maketables 0.1.8
markdown-it-py 4.2.0
markupsafe 3.0.3
matplotlib 3.11.0
matplotlib-inline 0.2.2
mdurl 0.1.2
mistune 3.3.2
mizani 0.14.4
multimark 0.2.0
narwhals 2.23.0
nbclient 0.11.0
nbconvert 7.17.1
nbformat 5.10.4
nest-asyncio2 1.7.2
nokap 0.1.0
notebook 7.6.0
notebook-shim 0.2.4
numba 0.66.0
numpy 2.4.6
overrides 7.7.0
packaging 26.2
pandas 3.0.3
pandocfilters 1.5.1
parso 0.8.7
patsy 1.0.2
pexpect 4.9.0
pillow 12.3.0
platformdirs 4.10.0
plotnine 0.15.7
polars 1.42.1
polars-runtime-32 1.42.1
prometheus-client 0.25.0
prompt-toolkit 3.0.52
psutil 7.2.2
psycopg2-binary 2.9.12
ptyprocess 0.7.0
pure-eval 0.2.3
pyarrow 24.0.0
pycparser 3.0
pyfixest 0.60.0
pygments 2.20.0
pyparsing 3.3.2
python-dateutil 2.9.0.post0
python-docx 1.2.0
python-dotenv 1.2.2
python-json-logger 4.1.0
pywinpty 3.0.5
pyyaml 6.0.3
pyzmq 27.1.0
referencing 0.37.0
requests 2.34.2
rfc3339-validator 0.1.4
rfc3986-validator 0.1.1
rfc3987-syntax 1.1.0
rich 15.0.0
rpds-py 2026.6.3
scikit-learn 1.9.0
scipy 1.17.1
scipy 1.18.0
seaborn 0.13.2
send2trash 2.1.0
six 1.17.0
soupsieve 2.8.4
sqlalchemy 2.0.51
stack-data 0.6.3
statsmodels 0.14.4
statsmodels 0.14.6
tabulate 0.10.0
terminado 0.18.1
tfwp 0.1.0
threadpoolctl 3.6.0
tidyfinance 0.3.1.dev4
tinycss2 1.5.1
tornado 6.5.7
tqdm 4.68.3
traitlets 5.15.1
typing-extensions 4.16.0
tzdata 2026.2
uri-template 1.3.0
urllib3 2.7.0
wcwidth 0.8.2
webcolors 25.10.0
webencodings 0.5.1
websocket-client 1.9.0
websockets 16.0
widgetsnbextension 4.0.15
wrapt 2.2.2
zipp 4.1.0

References

Allaire, J. J., Charles Teague, Carlos Scheidegger, Yihui Xie, and Christophe Dervieux. 2022. Quarto. V. 1.2. Released January. https://doi.org/10.5281/zenodo.5960048.
Python Software Foundation. 2023. Python Language Reference, Version 3.10.11.
R Core Team. 2022. R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/.