The Greatest Books of All Time on Racket (Programming Language)
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This list represents a comprehensive and trusted collection of the greatest books. Developed through a specialized algorithm, it brings together 759 'best of' book lists to form a definitive guide to the world's most acclaimed books. For those interested in how these books are chosen, additional details can be found on the rankings page.
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Racket (programming language) as a book category includes works focused on the Racket language and its ecosystem—introductory tutorials and textbooks that teach programming with Racket and the DrRacket IDE, reference manuals and language specifications, cookbooks and recipe collections for common tasks and libraries, and project-based guides for web apps, GUIs, and domain-specific languages. It also covers advanced topics important to Racket users and researchers: macros and hygienic metaprogramming, language-oriented programming and creating new languages, Typed Racket, performance and concurrency, tooling and testing, and applied uses in education and language-design research. Typical audiences range from beginners and educators using Racket for teaching to experienced developers and programming-language researchers looking for in-depth discussions of syntax extension, compiler internals, and DSL construction.
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Date Range
Filter books by their publication year. Enter the earliest year (Start) and latest year (End) to find books published within that period. Leave either field empty to search from the beginning of time or up to the present day.
Reading Statistics
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Click the button below to see how many of these books you've read!
Download
If you're interested in downloading this list as a CSV file for use in a spreadsheet application, you can easily do so by clicking the button below. Please note that to ensure a manageable file size and faster download, the CSV will include details for only the first 500 books.
DownloadTo download this list as a CSV file, please log in to your account. Once logged in, you'll be able to download the data for use in spreadsheet applications.
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