Media Summary: Taking the theory of Deterministic Finite Continuing the exploration of Regular Expressions and Laziness is a virtue - well, in programming anyway! Professor Thorsten Altenkirch on how you can use the 'yield' to compute ...

Automata Python Computerphile - Detailed Analysis & Overview

Taking the theory of Deterministic Finite Continuing the exploration of Regular Expressions and Laziness is a virtue - well, in programming anyway! Professor Thorsten Altenkirch on how you can use the 'yield' to compute ... What's in a language? Dr Laurie Tratt breaks it down by creating a brand new programming language by writing an interpreter in a ... How ambiguity is dangerous! Professor Brailsford simplifies parsing. EXTRA BITS: Angle Brackets: ... The basis of almost all functional programming, Professor Graham Hutton explains Lambda Calculus.

Language Models' Achilles heel: Rob Miles talks about "glitch" tokens, those mysterious words which, which result in gibberish ... Encoding recursion in the Lambda calculus, one of Professor Graham Hutton's favourite functions. Lambda Calculus: ... Could a computer program find Fermat's Lost Theorem? Professor Altenkirch shows us how to get started with lean. EXTRA BITS ... You've scanned a room or object and now you have lots of discrete scans you want to fit together. Dr Mike Pound explains how ...

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Automata & Python - Computerphile
Python Regular Expressions - Computerphile
Laziness in Python - Computerphile
Non-Deterministic Automata - Computerphile
Computers Without Memory - Computerphile
Creating Your Own Programming Language - Computerphile
Parsing Explained - Computerphile
Lambda Calculus - Computerphile
Glitch Tokens - Computerphile
Essentials: Functional Programming's Y Combinator - Computerphile
Same Story, Different Notation - Computerphile
Automated Mathematical Proofs - Computerphile
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Automata & Python - Computerphile

Automata & Python - Computerphile

Taking the theory of Deterministic Finite

Python Regular Expressions - Computerphile

Python Regular Expressions - Computerphile

Continuing the exploration of Regular Expressions and

Laziness in Python - Computerphile

Laziness in Python - Computerphile

Laziness is a virtue - well, in programming anyway! Professor Thorsten Altenkirch on how you can use the 'yield' to compute ...

Non-Deterministic Automata - Computerphile

Non-Deterministic Automata - Computerphile

Non deterministic finite state

Computers Without Memory - Computerphile

Computers Without Memory - Computerphile

They're called 'Finite State

Creating Your Own Programming Language - Computerphile

Creating Your Own Programming Language - Computerphile

What's in a language? Dr Laurie Tratt breaks it down by creating a brand new programming language by writing an interpreter in a ...

Parsing Explained - Computerphile

Parsing Explained - Computerphile

How ambiguity is dangerous! Professor Brailsford simplifies parsing. EXTRA BITS: https://youtu.be/Airi85CPdPk Angle Brackets: ...

Lambda Calculus - Computerphile

Lambda Calculus - Computerphile

The basis of almost all functional programming, Professor Graham Hutton explains Lambda Calculus.

Glitch Tokens - Computerphile

Glitch Tokens - Computerphile

Language Models' Achilles heel: Rob Miles talks about "glitch" tokens, those mysterious words which, which result in gibberish ...

Essentials: Functional Programming's Y Combinator - Computerphile

Essentials: Functional Programming's Y Combinator - Computerphile

Encoding recursion in the Lambda calculus, one of Professor Graham Hutton's favourite functions. Lambda Calculus: ...

Same Story, Different Notation - Computerphile

Same Story, Different Notation - Computerphile

Finite State

Automated Mathematical Proofs - Computerphile

Automated Mathematical Proofs - Computerphile

Could a computer program find Fermat's Lost Theorem? Professor Altenkirch shows us how to get started with lean. EXTRA BITS ...

Iterative Closest Point (ICP) - Computerphile

Iterative Closest Point (ICP) - Computerphile

You've scanned a room or object and now you have lots of discrete scans you want to fit together. Dr Mike Pound explains how ...