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Program, Interrupted - Computerphile
Code Checking Automation - Computerphile
The Most Difficult Program to Compute - Computerphile
Automated Mathematical Proofs - Computerphile
Optimising Code - Computerphile
Multithreading Code - Computerphile
Code vs Data (Metaprogramming) - Computerphile
Should Everybody Learn to Code - Computerphile
Improving Intermediate Codes - Computerphile
Just In Time (JIT) Compilers - Computerphile
Programming Paradigms - Computerphile
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Last Updated: September 20, 2026
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Summary
Summing up why Hamming's error correcting codes are regarded as 'Perfect' - Professor Brailsford explains. EXTRA BITS: ... Audible free book: audible.com/ In day to day life interruptions are annoying, but in computing they're essential. James Fowkes explains using an Arduino. EXTRA ... The original version of text messaging had a flaw, but how can we investigate problems with The story of recursion continues as Professor Brailsford explains one of the most difficult You can optimise for speed, power consumption or memory use & tiny changes can have a negligible or huge impact, but what ... We take multithreaded code for granted, but what's needed to make it work properly? We need two Dr Steve Bagleys to illustrate ... Why are code and data so separate? Robert Smith of Rigetti Quantum Computing explains how he uses Lisp code to generate ... With Code.org in the US and the Next Gen report in the UK, there's currently a real push to include Computer Science in schools, ... Taking T-Diagrams to the next level, Professor Brailsford tries to improve last episode's intermediate codes. Grateful thanks to Dr ... A look at why (under certain circumstances) JIT Compilers can be so much faster. Dr Laurence Tratt of KCL takes us through the ... There are different styles of programming, some quite closely resemble pure mathematics. Mathematician and Computer Scientist ...