Hacker News
- How the strengths of Lisp facilitate complex and flexible applications (2016) https://pmc.ncbi.nlm.nih.gov/articles/PMC5952920/ 13 comments
Linked pages
- GNU Emacs - GNU Project http://gnu.org/software/emacs/index.html 676 comments
- Welcome to Python.org https://python.org 664 comments
- What Made Lisp Different http://www.paulgraham.com/diff.html 201 comments
- Creative Commons — Attribution 4.0 International — CC BY 4.0 https://creativecommons.org/licenses/by/4.0/ 95 comments
- Direct testing of natural twister ribozymes from over a thousand organisms reveals a broad tolerance for structural imperfections | Nucleic Acids Research | Oxford Academic https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkac847/6749541 89 comments
- Beating the Averages http://www.paulgraham.com/avg.html 71 comments
- Maxima, a Computer Algebra System http://maxima.sourceforge.net/ 71 comments
- What makes Lisp macros so special? - Stack Overflow https://stackoverflow.com/questions/267862/what-makes-lisp-macros-so-special 70 comments
- P.S.: Accelerating Hindsight http://www.nhplace.com/kent/PS/Hindsight.html 25 comments
- Greenspun's tenth rule - Wikipedia https://en.wikipedia.org/wiki/Greenspun%27s_tenth_rule 10 comments
- Aether: leveraging linear programming for optimal cloud computing in genomics | Bioinformatics | Oxford Academic https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btx787/4708304 6 comments
- https://www.gnu.org/software/mit-scheme/documentation/mit-scheme-ref/index.html 6 comments
- Clojure http://clojure.org 3 comments
- Top considerations for creating bioinformatics software documentation | Briefings in Bioinformatics | Oxford Academic https://academic.oup.com/bib/article/doi/10.1093/bib/bbw134/2907814/Top-considerations-for-creating-bioinformatics 3 comments
- World Spider Trait database: a centralized global open repository for curated data on spider traits | Database | Oxford Academic https://academic.oup.com/database/article/doi/10.1093/database/baab064/6397506 0 comments
- Ross Ihaka to R: Drop Dead | Statistical Modeling, Causal Inference, and Social Science http://andrewgelman.com/2010/09/13/ross_ihaka_to_r/ 0 comments
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