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).
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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