The Online Books Page

AppleScript (Computer program language)

See also what's at Wikipedia, your library, or elsewhere.

• Scripting languages (Computer science)
• Domain-specific programming languages

• 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)

Items below (if any) are from related and broader terms.

• Think Raku: How to Think Like a Computer Scientist (second edition of Think Perl 6; 2020), by Laurent Rosenfeld, contrib. by Allen Downey (PDF with commentary at greenteapress.com)
• The Linux Command Line (fifth Internet edition, 2019), by William E. Shotts (PDF with commentary at linuxcommand.org and Sourceforge)
• Think Perl 6: How to Think Like a Computer Scientist (2017), by Laurent Rosenfeld, contrib. by Allen Downey (HTML and PDF with commentary at greenteapress.com)
• Learning JavaScript Design Patterns (free online version 1.7, c2017), by Addy Osmani (HTML with commentary at addyosmani.com)

• 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)

• Think Raku: How to Think Like a Computer Scientist (second edition of Think Perl 6; 2020), by Laurent Rosenfeld, contrib. by Allen Downey (PDF with commentary at greenteapress.com)
• Think Perl 6: How to Think Like a Computer Scientist (2017), by Laurent Rosenfeld, contrib. by Allen Downey (HTML and PDF with commentary at greenteapress.com)
• Modern Perl (electronic edition, 2011-2012), by Chromatic (HTML at modernperlbooks.com)
• Perl and LWP (online edition, 2007), by Sean M. Burke (HTML at interglacial.com)
• Higher-Order Perl (2005), by Mark Jason Dominus (PDF with commentary at plover.com)
• Data Munging With Perl (Greenwich, CT: Manning, c2001), by David Cross (PDF at perlhacks.com)
• Perl for the Web (2001), by Chris Radcliff (HTML with commentary at globalspin.com)
• Perl 5 by Example (1996), by David Medinets (HTML with commentary at blogspot.com)
• Web Client Programming with Perl (first edition, 1997), by Clinton Wong (illustrated HTML at oreilly.com)
• CGI Programming on the World Wide Web (first edition, 1996), by Shishir Gundavaram (illustrated HTML at oreilly.com)
• Beginning Perl, by Simon Cozens and Peter Wainwright (PDF files at perl.org)
• Embedding Perl in HTML with Mason, by Dave Rolsky and Ken Williams (HTML with commentary at houseabsolute.com)
• MacPerl: Power and Ease, by Vicki Brown and Chris Nandor, ed. by Rich Morin (HTML at macperl.com)
• Perl 6 at a Glance (originally published 2017; HTML version updated slightly for Raku renaming), by Andrew Shitov (HTML and PDF with commentary at andrewshitov.com)
• Practical Mod_Perl (2003), by Stas Bekman and Eric Cholet (multiple formats with commentary at modperlbook.org)

• Python for Data Analysis (open access third edition; ca. 2022), by Wes McKinney (illustrated HTML with commentary at wesmckinney.com)
• Python Packages (Boca Raton: CRC Press, 2022), by Tomas Beuzen and Tiffany-Anne Timbers (illustrated HTML with commentary at py-pkgs.org)
• Automate the Boring Stuff with Python (second edition, 2020), by Al Sweigart (illustrated HTML with commentary at automatetheboringstuff.com)
• How to Code in Python 3 (New York: DigitalOcean, ca. 2018), by Lisa Tagliaferri (PDF at digitalocean.com)
• The Coder's Apprentice: Learning Programming with Python 3 (2017), by Pieter Spronck (PDF with commentary at spronck.net)
• Python 101 (c2017), by Michael Driscoll (illustrated HTML with commentary at pythonlibrary.org)
• Python Data Science Handbook (c2016), by Jacob T. Vanderplas (illustrated HTML at Github and jupyter.org)
• Python for Everybody: Exploring Data in Python 3 (2016), by Charles R. Severance (multiple formats with commentary at py4e.com)
• A Whirlwind Tour of Python (Sebastopol, CA et al.: O'Reilly Media, c2016), by Jacob T. Vanderplas (PDF at oreilly.com)
• How to Make Mistakes in Python (Sebastopol et al.: O'Reilly, c2015), by Mike Pirnat (PDF at oreilly.com)
• Think Complexity (second edition; Needham, MA: Green Tea Press, c2012), by Allen Downey (multiple formats at Green Tea Press)
• Dive Into Python (2004), by Mark Pilgrim (multiple formats at archive.org)
• Program Arcade Games With Python And Pygame (c2017), by Paul Vincent Craven (illustrated HTML with commentary at programarcadegames.com)
• Hadoop With Python (2016), by Zachary Radtka and Donald Miner (illustrated HTML at oreilly.com)
• Invent Your Own Computer Games with Python (fourth edition, 2016), by Al Sweigart (illustrated HTML with commentary at inventwithpython.com)
• Think DSP: Digital Signal Processing in Python (Needham, MA: Green Tea Press, c2014), by Allen Downey (multiple formats with commentary at Green Tea Press)
• Think Python: How to Think Like a Computer Scientist (version 2, 2014), by Allen Downey (multiple formats at Green Tea Press)
• Modeling Creativity: Case Studies in Python (2013), by Tom De Smedt (PDF in Belgium)
• Making Games with Python and Pygame (c2012), by Al Sweigart (HTML and PDF with commentary at inventwithpython.com)
• Programming Computer Vision with Python (prepublication draft, 2012), by Jan Erik Solem (PDF with commentary at programmingconputervision.com)
• Learn to Program Using Python (c2011), by Cody Jackson (PDF in Sweden)
• Natural Language Processing With Python (electronic Creative Commons edition, with errata, 2010), by Steven Bird, Ewan Klein, and Edward Loper (illustrated HTML with commentary at nltk.org)
• How to Think Like a Computer Scientist; Learning With Python (original edition (superseded by Think Python); c2002), by Allen Downey, Chris Meyers, and Jeffrey Elkner (multiple formats at Green Tea Press)
• Modeling and Simulation in Python (version 3.4.3; Needham, MA: Green Tea Press, 2017), by Allen Downey (PDF with commentary at Green Tea Press)
• The Definitive Guide to Jython (Creative Commons edition, 2009), by Josh Juneau, Jim Baker, Victor Ng, and Frank Wierzbicki (HTML at readthedocs.io)
• Learning Data Science (c2023), by Sam Lau, Joseph Gonzalez, and Deborah Ann Nolan (illustrated HTML with commentary at learningds.org)
• Introduction to Cultural Analytics and Python (c2021), by Melanie Walsh (interactive illustrated HTML at github.io)
• A Byte of Python, by Swaroop C H (multiple formats with commentary at swaroopch.com)
• Dive Into Python 3, by Mark Pilgrim (HTML with commentary at problemsolving.io)
• The Hitchhiker's Guide to Python (current online edition), ed. by Kenneth Reitz (illustrated HTML at python-guide.org)
• Test-Driven Development With Python, by Harry Percival (illustrated HTML with commentary at obeythetestinggoat.com)
• Cracking Codes with Python, by Al Sweigart (illustrated HTML with commentary at inventwithpython.com)
• Text Processing in Python, by David Mertz (text with commentary at gnosis.cx)
• Web2py: Complete Reference Manual, by Massimo Di Pierro (HTML and PDF with commentary at web2py.com)

More items available under broader and related terms at left.