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Program, Interrupted - Computerphile
Characters, Symbols and the Unicode Miracle - Computerphile
Programming with Proofs - Computerphile
Programming in PostScript - Computerphile
Just In Time (JIT) Compilers - Computerphile
Code vs Data (Metaprogramming) - Computerphile
Human Readable Code - Computerphile
LAFF - On Programming for Correctness Sizzle Video
Code Checking Automation - Computerphile
Optimising Code - Computerphile
Error Diffusion Dithering - Computerphile
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Last Updated: October 26, 2026
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Summary
Summing up why Hamming's error correcting codes are regarded as 'Perfect' - Professor Brailsford explains. EXTRA BITS: ... The story of recursion continues as Professor Brailsford explains one of the most difficult In day to day life interruptions are annoying, but in computing they're essential. James Fowkes explains using an Arduino. EXTRA ... Audible free book: audible.com/ Continuing our look at the Agda programming language, Professor Thorsten Altenkirch shows us how you can work with proofs, ... A look at why (under certain circumstances) JIT Compilers can be so much faster. Dr Laurence Tratt of KCL takes us through the ... Why are code and data so separate? Robert Smith of Rigetti Quantum Computing explains how he uses Lisp code to generate ... Knuth talked about "Literate Programming" over forty years ago, but what does it mean to have code that a developer and a client ... Sizzle video for the Massive Open Online Course "LAFF - On Programming for The original version of text messaging had a flaw, but how can we investigate problems with You can optimise for speed, power consumption or memory use & tiny changes can have a negligible or huge impact, but what ... The smarter way to dither. Dr Bagley takes us through the Floyd-Steinberg error diffusion dithering technique.