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TikZ: graphs and automata
 
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A TikZ tutorial on how to make graphs, style node and edges with tikzstyle and how to use the TikZ-library automata. Previous video (basics and trees): https://www.youtube.com/watch?v=F1I39fWkzYY Please forgive me for the background noise, I've tried to reduce it a little bit without disturbing the speech.
Views: 909 Veronika Heimsbakk
yEd Graph Editor in 90 seconds
 
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The yEd Graph Editor is a free diagram editor: http://www.yworks.com/yed yEd is a powerful diagram editor that can be used to quickly and effectively generate high-quality drawings of diagrams. It supports many diagram types: BPMN diagrams, flowcharts, family trees, semantic networks, UML class diagrams, organization charts, mind maps, swimlane diagrams, and many more. Create your diagrams manually or import your external data for analysis and auto-magically arrange even large data sets by just pressing a button. Download for free today: http://www.yworks.com/yed The yEd Graph Editor application builds upon the diagramming functionality provided by yFiles. The yFiles diagramming software components (http://www.yworks.com/products/yfiles) enable you to add high-quality diagramming functionality to your own software applications: turn your data into clear diagrams with the help of unequaled automatic diagram layout, use rich visualizations for your diagram elements, and give your users an intuitive interface for smooth interaction. yFiles is available for a wide range of platforms and technologies: from web applications to cross-platform Java(FX) to the Microsoft .NET environment. The yFiles family of software components is made by yWorks GmbH: http://www.yworks.com
Views: 545081 yWorksTube
mxGraph Made Simple : 4
 
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mxLayouts
Views: 1767 Skylake Chabad
Introducing TensorFlow 2.0 and its high-level APIs (TF Dev Summit '19)
 
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At TensorFlow Dev Summit 2019, the TensorFlow team introduced the Alpha version of TensorFlow 2.0! With TensorFlow 2.0, we are consolidating our APIs and integrating Keras across the TensorFlow ecosystem. In this talk, we give an overview of what to expect with TensorFlow High Level APIs in 2.0. See the revamped dev site → https://www.tensorflow.org/ Watch all TensorFlow Dev Summit '19 sessions → http://bit.ly/TFDS19Sessions Event homepage → http://bit.ly/TFDS19 Subscribe to the TensorFlow YouTube channel → https://bit.ly/TensorFlow1 Speakers: Karmel Allison, Engineering Manager Martin Wicke, Software Engineer Music by Terra Monk → http://bit.ly/TerraMonkTFDS Event Photo Album → http://bit.ly/TFSummit19
Views: 246180 TensorFlow
SANKEY DIAGRAM TABLEAU
 
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Learn how to make Sankey Diagram in Tableau through this amazing tutorial! Get the dataset and workbook: https://www.superdatascience.com/yt-tableau-custom-charts-series/ New Tableau 2018 Course, special YouTube promotion, click link below: 95% OFF — A limited time, YouTube ONLY offer! Enroll today ==&gt https://www.udemy.com/tableau-2018/?couponCode=YOUTUBE95 Sankey Diagrams display flows and their quantities in proportion to one another. The width of the arrows or lines are used to show their magnitudes, so the bigger the arrow, the larger the quantity of flow. Flow arrows or lines can combine together or split through their paths on each stage of a process. Colour can be used to divide the diagram into different categories or to show the transition from one state of the process to another. INTRODUCTION CONNECING TO THE DATA 2:02 - We'll connect the data, connect to our Excel file and we'll connect to our African mobile data Excel file. 2:15 - We'll bring in our sales data and you'll see that we have the full 1056 rows that we’re looking for. 2:41 - You have your SELECT statement, then you tell them what columns to bring in. WORKING WITH DATA 2:57 - So what we're going to do, is we're going to take this; we're going to Union all, with the exact same data set. 3:24 - So we'll put it in segment right here, we'll call this "VizSide" 3:32 - Then over here, we're going to call this region, as "VizSide". 4:07 - So what we actually need to do, is somehow create these marks so Tableau will be able to draw the lines across them.   4:38 - I'm going to walk you through the first steps of that data densification 5:22 -  So now we have ToPad, the thing is if you bring ToPad out to columns. 5:37 - But if you come down, you click on it you say create bins 6:17 - So we've basically done is used Tableaus in-memory engine, to create these extra marks CREATING CALCULATIONS 6:31 - Next, we're going to create a calculated field called T. 6:44 - What this does is a little bit of an offset, that evenly spaces all our marks across the view. 7:10 - We have a value of 1 we have our value of 49 but we also have a mark for every single individual bin. This is the essence of data densification and data padding. 7:26 - So, now we have our vertical marks, we have vertical data sets, our horizontal marks. 8:01 - Now we're going to come in and we’re going to duplicate that, and we will edit, call this Rank 2 - I'm actually going to leave it entirely the same. 8:17 - The next calculated field we need to make is our sigmoid function. The sigmoid function right here off Wikipedia mathematical function with an s-shaped curve. 8:32 - So we're going to create a sigmoid. It is going to be 1 over 1 plus; now we need to use e; Tableau doesn't have e as a function but it does have an exponent function. 8:48 - So if we do exponent 1 that's the same thing as typing e. Then we're going to raise it to the power of negative T. BUILDING A VIEW 10:17 - Ok those a lot of different calculations and now we get to the exciting part, where we're actually going to build out our view for a little bit. 10:55 - At this point we'll need to add in the two sides of our table or the two sides of our visualization that we’re building. 11:13 - So we want it to include Segment, we want to include Region and then we want to include Padded because it tells you go from Segment to go to Region a long Padded. 11:30 - Coming up to Rank 2 we're going to use all three again, but in this case, we want it to go from Padded, sorry from Region to Segment to Padded. 11:42 – And then for T we're going to make sure that it's using Padded so that our sigmoid function is able to comprehend every single mark. 12:19 - In the same spirit we will come to our curve and make it go from 0 to 1. 12:46 - Then we can come in we can hide our headers and we have very good makings of our Sankey Chart. 13:44 - So, what we need to do rather than using sum sales itself, we're going to create another calculation. We call this a Sales Sizing and we'll use a table calculation in order to trick Tableau 15:27 - We want to come into our color scheme as well and rather than being blue orange red will make it blue orange green just so it matches our Sankey Chart. CREATING A DASHBOARD 16:13 - Now we're going to create a dashboard that has all three of them. 16:25 - So first we're going to bring in our Sankey Chart. Then we'll add in Segment to the side and we'll add in Region to the other side. 16:40 - Then we'll do some more cosmetic stuff where we'll hide the actually don't need these titles either. As we come through we can format we can get rid of our gridlines we can get rid of our 0 lines clean that up a little 17:22 - A couple more cosmetic things we're going to do real fast. Our tool tips are really distracting at this point. So I'm going to go, I'm going to disable them on all of our charts. 18:18 - The last thing we want to add is actually some dashboard actions.
Views: 142846 SuperDataScience
Using Virtual Reality with yEd Live for Graph Visualizations - Part Two
 
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This is the second part of our short video introduction to graph exploration with yEd Live, yFiles for HTML and WebVR. Find more information about how we created the app and how you can try it today, here: https://www.yworks.com/blog/yedlive-virtual-reality
Views: 344 yWorksTube
Visualizing Your Neo4j Database Contents like a Pro!
 
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In this screencast we are using yFiles for HTML to build a simple single page web app from scratch utilizing the JavaScript Bolt driver to connect to a Neo4j database. This enables end users to see data not in a textual but in a visual manner. For the visualization we use yFiles for HTML, a professional graph visualization library for the web platform. The commented sources for this project can be found here: https://github.com/yWorks/yfiles-neo4j-basic-demo A writeup of this screencast is also available here: https://medium.com/neo4j/neo4j-graph-visualization-like-a-pro-18651963ebd4 You can evaluate yFiles for HTML from its homepage here: https://www.yworks.com/yfileshtml
Views: 1116 yWorksTube
GraphStream 1.0
 
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The GraphStream team is happy to announce the release of the first stable version of GraphStream. We hope it will fulfill your needs and that you will enjoy the new features that come with it. GraphStream website : http://graphstream-project.org This video provides an overview of some features of this new release : 1. Generators, it is an overview of some generators that can be found in GraphStream. Generators allow to produce a graph (static or dynamic). 2. Algorithms, some examples of algorithms : A*, Kruskal spanning tree, Betweenness Centrality. 3. Stylesheet, a demonstration of some style properties. GraphStream uses a CSS syntax to define thee graph style. 4. New UI, the new release comes with an alternative viewer in the package gs-ui. All the video is made with this new viewer but this part focuses on the ability to move the view center and to change the zoom from the program. 5. Geographic Information System : GraphStream contains a new experimental packages, called gs-geography, that allows to produce a graph from a shape file. This part displays the graph of the city of Le Havre (France) and runs the algorithm RandomWalk on it to simulate traffic. The video is published by G. Savin under the term of the Creative Commons licence BY-NC-SA. The soundtrack comes from the Queue release of Juno6 (http://www.juno6.de, http://www.1bit-wonder.com) that is published under the CC BY-NC-SA licence.
Views: 28485 GraphStream
Scalable Vector Graphics
 
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Scalable Vector Graphics (SVG) is an XML-based vector image format for two-dimensional graphics with support for interactivity and animation. The SVG specification is an open standard developed by the World Wide Web Consortium (W3C) since 1999. SVG images and their behaviors are defined in XML text files. This means that they can be searched, indexed, scripted, and compressed. As XML files, SVG images can be created and edited with any text editor, but are more often created with drawing software. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 129 Audiopedia
Elastic Nodes
 
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PyQt version of the Elastic Nodes example supplied with Qt.
Views: 16295 0120017101210164
Data Visualization Workshop: Let's Make a Map and Network Graph!
 
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In this data visualization workshop, Institute for CyberScience visualization expert Patrick Dudas provides an introduction to maps and network graphs. Do you want to gain a larger audience for your research, have a better way to explore and validate data, and have the ability to see your data from different perspectives? ICS offers a series of Data Visualization Workshops to help you learn how to use and present your data more effectively.
iPoint Control -- Your Finger as Remote Control in the Kitchen
 
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iPoint technology enables contact-free, gestural human-computer-interaction -- communicate intuitively without any need to wear data gloves or touch surfaces. The system consists of two digital cameras, which record movements of fingers and hands to be transferred to a computer. Our software calculates 3D coordinates of fingers and hands from the video data and recognizes simple hand gestures in real-time. Thus various multimedia applications and even domestic appliances can be controlled completely contact-free. Gestural interaction is important where direct contact is ether not possible or intended -- such as in kitchens, operating theatres or public spaces. For more information visit www.hand-interaktion.de/en
Views: 615 Fraunhofer HHI
Mindmap d3.js โรงเรียนมหิดลวิทยานุสรณ์
 
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ใช้ jQuery + d3.js สร้างเป็นไฟล์ HTML และใช้ mySQL เก็บข้อมูล โดยส่งข้อมูลเป็น JSON
Views: 250 Apirat Pakakaew
Matplotlib Tutorial 16 - Live graphs
 
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In this Matplotlib tutorial, we're going to cover how to create live updating graphs that can update their plots live as the data-source updates. You may want to use this for something like graphing live stock pricing data, or maybe you have a sensor connected to your computer, and you want to display the live sensor data. To do this, we use the animation functionality with Matplotlib. sample code: http://pythonprogramming.net http://hkinsley.com https://twitter.com/sentdex http://sentdex.com http://seaofbtc.com
Views: 204760 sentdex
Clasp: Common Lisp using LLVM and C++ for Molecular Metaprogramming
 
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Google Tech Talk June 9, 2015 (more info - click "show more") Presented by Christian Schafmeister. Introduction (0:00) The beginning (0:45) Mimicking proteins (1:51) Spiroligomers: an alternative to proteins (6:16) Applications of spiroligomers (8:18) A spiroligomer that binds Mdm2 (11:16) A spiroligomer that catalyzes a transesterification reaction (12:36) Designing large molecules (15:36) Developing a programming language for chemistry (17:29) Clasp: A Common Lisp based on LLVM (20:24) Automatic differentiation for chemistry force fields (20:43) Writing code that builds molecules (25:08) Why Common Lisp for chemistry? (25:46) Interfacing C++ with Common Lisp (27:53) Clasp: What is it? (31:36) Automated analysis of C++ code built into Clasp (37:24) How C++ is exposed to Clasp Common Lisp (39:35) What is next for Clasp? (41:35) Wrap up (43:40) Questions and answers (45:30) ABSTRACT This talk describes our unique approach to constructing large, atomically precise molecules (called "Molecular Lego" or "spiroligomers") that could act as new therapeutics, new catalysts (molecules that make new chemical reactions happen faster) and ultimately to construct atomically precise molecular devices. Then I describe Clasp and CANDO, a new implementation of the powerful language Common Lisp. Clasp is a Common Lisp compiler that uses LLVM to generate fast machine code and it interoperates with C++. CANDO is a molecular design tool that uses Clasp as its programming language. Together I believe that these are the hardware (molecules) and the software (the CANDO/Clasp compiler) that will enable the development of sophisticated molecular nanotechnology. Clasp is available at: https://github.com/drmeister/clasp For more info see: https://chem.cst.temple.edu/directory/faculty/schafmeister/ More about Clasp Clasp is an implementation of Common Lisp that interoperates with C++ and uses LLVM as its backend. It is available at https://github.com/drmeister/clasp. The goal of Clasp is to become a performant Common Lisp that can use C++ libraries and interoperate with LLVM-based tools and languages. The first sophisticated C++ library with which Clasp interoperates is the Clang C/C++ compiler front end. Using the Clang library, Common Lisp programs can be written that parse and carry out static analysis and automatic refactoring of C/C++ code. This facility is used to automatically analyze the Clasp C++ source code and construct an interface to the Memory Pool System compacting garbage collector. The primary purpose of Clasp is to act as a performant language for scientific computing that will be used to design sophisticated new molecular devices, catalysts and therapeutic molecules based on our "Molecular Lego" technology. Clasp is a general programming language that will support many other applications. About the Speaker: Christian Schafmeister visited Google’s Cambridge, MA office to deliver the talk "Clasp: Common Lisp using LLVM and C++ for Molecular Metaprogramming”. Christian is Associate Professor of Chemistry at Temple University. Research projects within his group will use the tools of synthetic chemistry, molecular biology, and X-ray crystallography to develop a universal molecular scaffold that would allow the systematic design, construction, and investigation of macromolecules that display chemical functionality in three-dimensional space. A scaffold like this will allow the design and synthesis of new catalysts, molecular sensors, and ultimately molecular machines. His group will use synthetic chemistry to synthesize molecular building blocks that they will couple to each other through pairs of bonds to construct rigid macromolecules with diverse and programmable shapes. His group has developed computer software that allows the computer-aided design of these molecules to carry out specific functions.
Views: 37050 GoogleTechTalks
Motif Simplification: Improving Network Visualization Readability with Motif Glyphs
 
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It is difficult to visualize large networks. Motif simplification reduces network complexity by replacing common, repeating patterns with representative glyphs. Our controlled study shows this is helpful for many tasks. For more details please see our full paper: Dunne C and Shneiderman B (2013), "Motif simplification: improving network visualization readability with fan, connector, and clique glyphs", In CHI '13: Proc. 2013 international conference on Human Factors in Computing Systems. It is available online here: http://www.cs.umd.edu/~cdunne/hcil/pubs/Dunne13Motifsimplification_improving.pdf Motif simplification is now available in NodeXL, which you can download for free at http://nodexl.codeplex.com
Views: 1337 Cody Dunne
elastic nodes 0.1
 
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Testing alternative visualizations for linguistic structures. I start with very basic rubberband network, based on qt:s elasticnodes-example. There is an added 'center of gravity' pulling constituents to the middle.
3D Audio Equaliser - Big Country (In A Big Country)
 
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3 Dimensional visualisation video of stereo audio file. Frequency for both left and right channels are displayed on x-axis with lower frequencies to the outside. Frequency amplitude is the y-axis, and the z axis is time. Approximately 10 seconds of sound can be seen at a time. A windowed 2048 sample Fast Fourier Transform (FFT) is calculated 180 times per second per channel. 2048 is squished to 128 per channel for rendering. A C program is used for sound capture and FFT processing, Python and Mayavi are used for rendering. 1 minute of sound takes 1-3 hours to render. Uploaded file is VGA the rendered file is XVGA. --If the owner of any copyrighted material that is used to make this visualization wishes to have it removed please email: w b a c 0 5 4 @ y a h o o . com--
Views: 81 Will Bachman
mxgraph programming tutorial 4
 
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In this tutorial, we show how to use mxgraph in a project in which we need to convert a 3CNF logical formula to an implication graph and then display it in a window as a desktop application. We discussed how to include mxgraph jar library into the building path of our project. We also talked about the structure and steps to create a graph and then display it in java methods.
Views: 259 Shiyong Lu
Polinode Networks: A Tutorial
 
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In this tutorial we upload a network and walk through all of the interactive functionality that Polinode provides including metrics, layers, views and a lot more.
Views: 1045 Polinode
Prefuse Toolkit Demo
 
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Views: 259 David Susanto
DotFiles introduction.
 
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First part of Chad Chabot (@chadchabot) talk at The Front Edge meetup, January 2016 http://www.meetup.com/The-Front-Edge/events/224458120/ See also his second part of the talk on: A gentle introduction to Vim. https://youtu.be/0J1qt3D8JrQ Recorded & edited by @curelet (https://ghcb.blogspot.ca https://www.linkedin.com/in/gcurelet) with Canon Powershot SX 520 HS superzoom point-and-shoot camera.
Graph database
 
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In computing, a graph database is a database that uses graph structures with nodes, edges, and properties to represent and store data. A graph database is any storage system that provides index-free adjacency. This means that every element contains a direct pointer to its adjacent elements and no index lookups are necessary. General graph databases that can store any graph are distinct from specialized graph databases such as triplestores and network databases. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 614 Audiopedia
What's new in Sage: Anim Graph Editor
 
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This video is intended to give a quick overview of what's new in Sage 1.4 and 1.5. For a tutorial of how to use Sage, please watch this video: http://youtu.be/gb62_OijcZ8 Sage: Anim Graph Editor, is a State Machine and Blend Graph System and Editor for Unity 3d! More information can be found on our website: http://www.alteredr.com/sage
Views: 2069 Altered Reality
NeXt UI Toolkit - Quick Look
 
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NeXt UI Toolkit - Quick Look Based features of NeXt UI Toolkit topology component.
Views: 8721 Aikepaer Abuduweili
Evolution of node-qt (Gource Visualization)
 
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Gource visualization of node-qt (https://github.com/arturadib/node-qt). C++ Qt bindings for Node.js
Views: 233 Landon Wilkins
Server's testing with Cytoscape
 
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I built a little visual testing framework for an server-side app. Node types: - big, purple circle = server - small circle = client Client colors: - turqoise = waiting for server to wake client up - yellow = analysing something - red = server rejected analysis - green = server accepted analysis Flash on edge = msg travelling the wire
Views: 71 Jussi Hamalainen
boudis - java swing network topology diagram creator
 
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create network topology diagram with just few code lines you can find the library jar file and an example on github https://github.com/imeddz2015/boudis
Views: 324 dev geeks
Live Preview in Vs Code | 100% working | 2017
 
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It's a video about how to add live preview option in vs-code or how to get live preview in vs code. 1.Go to extensions in Vs code 2.Search live preview 3.install extension "Live HTML Previewer" 4.Restart Vs-Code 5."Preview Available " button will be available at the bottom of page. Subscribe My channel and to stay tuned : https://www.facebook.com/shahzaib9192 https://www.instagram.com/shahzaib9192/ https://twitter.com/shahzaibali1022
Views: 43347 Shahzaib Ali
Distance Learning, e-learning - Interational University of la Rioja - Technological Innovation (5/9)
 
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http://www.unir.net/english We are born with the vocation to be leaders in technology. Our students were born in the information society, which requires different learning styles and which approaches to knowledge in an active way. Our educational project is based on: Personalized Education Participatory education Collaborative work UNIR includes in its Virtual Campus Digital Television via the Internet, as well as the tools and the essence of Web 2.0. The students, from anywhere in the world, attend virtual classes both in real time and deferred. With easy and accessible tools, without installing complicated applications or relying on your updates. And with an Internet connection and a simple web browser. We understand that technology must support access to knowledge.
JavaScript Air Episode 012: Lodash & Open Source
 
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Lodash v4 had been released (by the time this episode happens). This JavaScript library of utilities is one of the most widely used utility belts of the enormous JavaScript ecosystem. We're going to talk with John, the mastermind behind this utility (and fork of underscore) about his experience building such a ubiquitous tool and what it can do for you. http://jsair.io/lodash
Views: 1361 JavaScript Air
DOT (graph description language)
 
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DOT is a plain text graph description language. It is a simple way of describing graphs that both humans and computer programs can use. DOT graphs are typically files that end with the .gv extension. The .gv extension is preferred in cases where there could be confusion with the .dot file extension used by early versions of Microsoft Word. Various programs can process DOT files. Some, like OmniGraffle, dot, neato, twopi, circo, fdp, and sfdp, will read a DOT file and render it in graphical form. Others, like gvpr, gc, acyclic, ccomps, sccmap, and tred, will read a DOT file and perform calculations on the represented graph. Finally, others, like lefty, dotty, and grappa, provide an interactive interface. There exists also a GVedit tool which combines a text editor with noninteractive image viewer. Most programs are part of the Graphviz package or use it internally. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 1281 Audiopedia
JAVA COMMAND TERMINAL | JAVA PROGRAM | TUTORIAL 1.1 | MAC
 
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RubyConf 2015 - Stately State Machines with Ragel by Ian Duggan
 
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Stately State Machines with Ragel by Ian Duggan State machines are an important tool in computer programming, and Ragel is a wonderful tool for creating them. Come learn how to use Ragel to compose simple state machines into much more complicated versions useful for parsing and processing all manner of input. We'll progress simple regex-like machines to full-blown context-sensitive scanners capable of ripping-fast processing of protocols and language grammars. Help us caption & translate this video! http://amara.org/v/H0nE/
Views: 1094 Confreaks
PREFUSE
 
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ตัวอย่างการประยุกต์กับโปรแกรม Prefuse รูปแบบ Radial graph view
Aorta Segmentation With ITK-snap
 
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Aorta segmented with the sparse field level set method implemented in ITK. The procedure takes about 15 min while with our new level set algorithm it only takes 20 sec. http://www.youtube.com/watch?v=Rwlwhh0Y_1I Paper can be downloaded from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-68006
Views: 3997 chunliang wang