Domain-specific programming languages
See also what's at Wikipedia, your library, or elsewhere.
Broader term:Narrower terms:- AWK (Computer program language)
- AppleScript (Computer program language)
- JavaScript (Computer program language)
- Mathematica (Computer program language)
- R (Computer program language)
- Application languages (Computer science)
- Domain-specific languages (Computer science)
- DSLs (Domain-specific programming languages)
- Little languages (Computer science)
- Macros (Domain-specific programming languages)
- Problem-oriented languages (Computer science)
- Domain-specific language
![[Info]](https://onlinebooks.library.upenn.edu/info.gif)
GAWK: Effective Awk Programming (online edition, 2016), by Arnold Robbins and Free Software Foundation (Cambridge, Mass.) (multiple formats at gnu.org)
- AppleScript Finder Guide: English Dialect, by Apple Computer, Inc. (PDF at Apple)
- AppleScript Language Guide (revised for OS X 10.5), by Apple Computer, Inc. (HTML at Apple)
- AppleScript Scripting Additions Guide: English Dialect, by Apple Computer, Inc. (PDF at Apple)
- Learning JavaScript Design Patterns (free online version 1.7, c2017), by Addy Osmani (HTML with commentary at addyosmani.com)
- Eloquent JavaScript: A Modern Introduction to Programming (second edition, 2015), by Marijn Haverbeke (illustrated HTML with commentary at eloquentjavascript.net)
- Speaking JavaScript: An In-Depth Guide for Programmers (originally published 2014), by Axel Rauschmayer (HTML with commentary at speakingjs.com)
- Developing Backbone.js Applications (originally published 2013), by Addy Osmani (HTML with commentary at addyosmani.com)
- Customizing Vendor Systems for Better User Experiences: The Innovative Librarian's Guide (Santa Barbara and Denver: Libraries Unlimited, c2016), by Matthew Reidsma (PDF at gvsu.edu)
- D3.js Tips and Tricks, by Malcolm Maclean (JavaScript-dependent illustrated HTML at leanpub.com)
- JavaScript Enlightenment (online version for ES2015 and later), by Cody Lindley (HTML at frontendmasters.com)
- JavaScript Guide (current online edition), by MDN Web Docs (HTML at mozilla.org)
- You Don't Know JS (online prepublication editions of booklets in this series), by Kyle Simpson (illustrated HTML with commentary at GitHub)
- Structure and Interpretation of Computer Programs: JavaScript Edition, by Harold Abelson and Gerald Jay Sussman, ed. by Martin Henz and Tobias Wrigstad, contrib. by Julie Sussman (illustrated HTML with commentary at sourceadacemy.org)
- Software Design by Example: A Tool-Based Introduction With JavaScript, by Greg Wilson (illustrated HTML with commentary at third-bit.com)
- D3 Tutorials (original version of Interactive Data Visualization for the Web, which is no longer free online), by Scott Murray (illustrated HTML at alignedleft.com)
- Power Programming With Mathematica: The Kernel (authorized scan; New York et al.: McGraw-Hill, c1996), by David B. Wagner (PDF with commentary at stackexchange.com and dropbox.com)
- R Graphics Cookbook (second edition, 2024), by Winston Chang (illustrated HTML with commentary at r-graphics.org)
- Efficient R Programming (Creative Commons online edition, 2021), by Colin Gillespie and Robin Lovelace (illustrated HTML with commentary at github.io)
- Introduction to Data Science: Data Analysis and Prediction Algorithms With R (Creative Commons online edition, 2021), by Rafael A. Irizarry (illustrated HTML with commentary at github.uio)
- Advanced R (second edition; ca. 2019), by Hadley Wickham (illustrated HTML with commentary in New Zealand)
- Text Mining with R: A Tidy Approach (Creative Commons online edition; ca. 2019), by Julia Silge and David Robinson (illustrated HTML with commentary at tidytextmining.com)
- The R Inferno (2011), by Patrick Burns (PDF with commentary at burns-stat.com)
- R Markdown Cookbook (Creative Commons online edition; 2024), by Yihui Xie, Christophe Dervieux, and Emily Riederer (illustrated HTML at bookdown.org)
- An Introduction to R: Notes on R, A Programming Environment for Data Analysis and Graphics (electronic edition, 2008), by W. N. Venables, D. M. Smith, and R Development Core Team
- Introduction to NFL Analytics with R (free online edition, ca. 2023), by Bradley J. Congelio (illustrated HTML at bradcongelio.com)
- R for Data Science (second edition, c2023), by Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund (illustraterd HTML with commentary in New Zealand)
- Statistical Inference via Data Science: A ModernDive into R and the Tidyverse (Creative Commons online edition, 2021), by Chester Ismay and Albert Young-Sun Kim (illustrated HTML with commentary at moderndive.com)
- R for Data Science (first edition, c2017), by Hadley Wickham and Garrett Grolemund (illustrated HTML with commentary in New Zealand)
- Time Series Analysis and its Applications, With R Examples (authors' free electronic edition, similar to published fourth edition; 2016), by Robert H. Shumway and David S. Stoffer (PDF with commentary at Pitt)
- Geocomputation With R (free online second edition, c2024), by Robin Lovelace, Jakub Nowosad, and Jannes Münchow (illustrated HTML with commentary at geocompx.org)
- Practical Regression and Anova using R (final web version, 2002), by Julian James Faraway (PDF with commentary at r-project.org)
- An Introduction to Statistical Learning, With Applications in R (corrected first edition and second edition; 2017 and 2021), by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani (PDF with commentary at statlearning.com)
- Advanced R Solutions (based on the second edition of Wickham's "Advanced R"), by Malte Grosser, Henning Bumann, and Hadley Wickham (illustrated HTML with commentary at rbind.io)
- Learning Statistics With R, by Danielle Navarro (multiple formats with commentary at learningstatisticswithr.com)
- R Packages (second edition, ca. 2023), by Hadley Wickham and Jennifer Bryan (illustrated HTML with commentary at r-pkgs.org)
- Data Science: A First Introduction (Boca Raton: CRC Press, 2022), by Tiffany-Anne Timbers, Trevor Campbell, and Melissa Lee (illustrated HTML with commentary at datasciencebook.ca)
Items below (if any) are from related and broader terms.
Filed under: Programming languages (Electronic computers)- Programming Languages: Application and Interpretation (2007), by Shriram Krishnamurthi (HTML and PDF with commentary at Brown)
- Advanced Programming Language Design (1996), by Raphael A. Finkel (PDF files at Addison-Wesley)
- Python for Data Analysis (open access third edition; ca. 2022), by Wes McKinney (illustrated HTML with commentary at wesmckinney.com)
- Programming and Programming Languages (2016), by Shriram Krishnamurthi (HTML at Brown)
- Programming in Oberon: Steps Beyond Pascal and Modula (c1992), by Martin Reiser and Niklaus Wirth (PDF in Switzerland)
- The Art of Assembly Language Programming (several editions; all but the "published edition" are free), by Randall Hyde (HTML and other formats at plantation-productions.com)
- Semantics With Applications: A Formal Introduction (revised online edition, 1999), by Hanne Riis Nielson and Flemming Nielson (PDF and Postscript with commentary at Wayback Machine)
- Ada 95: The Craft of Object-Oriented Programming, by John English (HTML at adaic.org)
- Alphard: Form and Content (New York et al.: Springer-Verlag, c1981), ed. by Mary Shaw (PDF at CMU)
- PC Assembly Language (2006), by Paul A. Carter (PDF files with commentary at github.io)
- Atari Roots (1984), by Mark Andrews (HTML at atariarchives.org)
- Assembly Language Programming for the Atari Computers (1984), by Mark Chasin (HTML at atariarchives.org)
- Usborne Introduction to Machine Code for Beginners (London: Usborne Pub., c1983), by Lisa Watts and Mike Wharton, illust. by Naomi Reed and Graham Round (PDF at Usborne and Google)
- The Art of Assembly Language Programming (several editions; all but the "published edition" are free), by Randall Hyde (HTML and other formats at plantation-productions.com)
More items available under broader and related terms at left.