Graph rewriting

Attributed graph grammar

In computer science, an attributed graph grammar is a class of graph grammar that associates vertices with a set of attributes and rewrites with functions on attributes. In the algebraic approach to graph grammars, they are usually formulated using the double-pushout approach or the single-pushout approach. (Wikipedia).

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Graph Theory: 02. Definition of a Graph

In this video we formally define what a graph is in Graph Theory and explain the concept with an example. In this introductory video, no previous knowledge of Graph Theory will be assumed. --An introduction to Graph Theory by Dr. Sarada Herke. This video is a remake of the "02. Definitio

From playlist Graph Theory part-1

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Graph Theory: 09. Graph Isomorphisms

In this video I provide the definition of what it means for two graphs to be isomorphic. I illustrate this with two isomorphic graphs by giving an isomorphism between them, and conclude by discussing what it means for a mapping to be a bijection. An introduction to Graph Theory by Dr. Sar

From playlist Graph Theory part-2

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Graph Theory: 03. Examples of Graphs

We provide some basic examples of graphs in Graph Theory. This video will help you to get familiar with the notation and what it represents. We also discuss the idea of adjacent vertices and edges. --An introduction to Graph Theory by Dr. Sarada Herke. Links to the related videos: https

From playlist Graph Theory part-1

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Graph Theory: 36. Definition of a Tree

In this video I define a tree and a forest in graph theory. I discuss the difference between labelled trees and non-isomorphic trees. I also show why every tree must have at least two leaves. An introduction to Graph Theory by Dr. Sarada Herke. Related Videos: http://youtu.be/zxu0dL436gI

From playlist Graph Theory part-7

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Graph Theory: 05. Connected and Regular Graphs

We give the definition of a connected graph and give examples of connected and disconnected graphs. We also discuss the concepts of the neighbourhood of a vertex and the degree of a vertex. This allows us to define a regular graph, and we give some examples of these. --An introduction to

From playlist Graph Theory part-1

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Tree Graphs - Intro to Algorithms

This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.

From playlist Introduction to Algorithms

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Compilation - Part Three: Syntax Analysis

This is part three of a series of videos about compilation. Part three is about syntax analysis. It explains how the syntax analyser, otherwise known as the parser, takes a token stream from the lexical analyser, and checks it to make sure that the rules of the source language have been

From playlist Compilation

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ggplot2 Tutorial | ggplot2 In R Tutorial | Data Visualization In R | R Training | Edureka

( R Training : https://www.edureka.co/data-analytics-with-r-certification-training ) This "ggplot2 Tutorial" by Edureka is a comprehensive session on the ggplot2 in R. This tutorial will not only get you started with the ggplot2 package, but also make you an expert in visualizing data wit

From playlist Data Science Tutorial Videos

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R & Python - Parsing Part 2

Lecturer: Dr. Erin M. Buchanan Summer 2020 https://www.patreon.com/statisticsofdoom This video is part of my Natural Language Processing course. This video covers parsing, which is creating sentence structure for understanding meaning. You will learn both traditional constituency parsin

From playlist Natural Language Processing

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RailsConf 2017: Syntax Isn't Everything: NLP for Rubyists by Aja Hammerly

RailsConf 2017: Syntax Isn't Everything: NLP for Rubyists by Aja Hammerly Natural Language Processing is an interesting field of computing. The way humans use language is nuanced and deeply context sensitive. For example, the word work can be both a noun and a verb. This talk will give an

From playlist RailsConf 2017

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Lecture 25 | Programming Paradigms (Stanford)

Lecture by Professor Jerry Cain for Programming Paradigms (CS107) in the Stanford University Computer Science department. In this lecture, Prof. Cain discusses the Python dictionary and illustrates a small program containing the imperative, object-oriented, and functional paradigms. Pr

From playlist Lecture Collection | Programming Paradigms

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Graph Theory: 10. Isomorphic and Non-Isomorphic Graphs

Here I provide two examples of determining when two graphs are isomorphic. If they are isomorphic, I give an isomorphism; if they are not, I describe a property that I show occurs in only one of the two graphs. Here is a related video in which I show how to check for whether these examp

From playlist Graph Theory part-2

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What Makes Python Python? (aka Everything About Python’s Grammar)

We will try to answer a straightforward question: What makes Python so easy to learn and read? Other languages also have a robust community and a compelling ecosystem and standard library, but Python somehow stands out on how easy it is to understand existing code and how quickly and pleas

From playlist Python

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Graph Theory: 04. Families of Graphs

This video describes some important families of graph in Graph Theory, including Complete Graphs, Bipartite Graphs, Paths and Cycles. --An introduction to Graph Theory by Dr. Sarada Herke. Links to the related videos: https://www.youtube.com/watch?v=S1Zwhz-MhCs (Graph Theory: 02. Definit

From playlist Graph Theory part-1

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Writing a PEG Parser For Fun and Profit

Parsing Expression Grammars (PEGs) are a relatively new formalism for describing grammars suitable for automatically generating efficient parsers. I've become interested in using a PEG-generated parser as an alternative to CPython's nearly 30 year old "pgen" parser generator. This poses so

From playlist Python

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Psych9B. Psychology Fundamentals. Lecture 12

UCI Psych 9B: Psych Fundamentals (Fall 2015) Lec 12. Psych Fundamentals View the complete course: http://ocw.uci.edu/courses/psych_9bpsy_beh_11b_psychology_fundamentals.html Instructor: Mark Steyvers, Ph.D. License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info. More cou

From playlist Psych 9B: Psych Fundamentals

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Psych9B. Psychology Fundamentals. Lecture 12

UCI Psych 9B: Psych Fundamentals (Fall 2015) Lec 12. Psych Fundamentals View the complete course: http://ocw.uci.edu/courses/psych_9bpsy_beh_11b_psychology_fundamentals.html Instructor: Mark Steyvers, Ph.D. License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info. More cou

From playlist Psych 9B: Psych Fundamentals

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Graph Theory FAQs: 04. Isomorphism vs Homomorphism

In this video we recall the definition of a graph isomorphism and then give the definition of a graph homomorphism. Then we look at two examples of graph homomorphisms and discuss a special case that relates to graph colourings. -- Graph Theory FAQs by Dr. Sarada Herke. Related videos:

From playlist Graph Theory FAQs

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What are Connected Graphs? | Graph Theory

What is a connected graph in graph theory? That is the subject of today's math lesson! A connected graph is a graph in which every pair of vertices is connected, which means there exists a path in the graph with those vertices as endpoints. We can think of it this way: if, by traveling acr

From playlist Graph Theory

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29C3: The future of protocol reversing and simulation applied on ZeroAccess botnet (EN)

Speakers: Frédéric Guihéry | Georges Bossert Mapping your enemy Botnet with Netzob Have you ever been staring for nights at binary or hexadecimal data flows extracted from an USB channel? Don't you remember yourself searching for some patterns and similarities in this fuc*g mess of zeros

From playlist 29C3: Not my department

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