Tabla de Contenidos: “…Works illustrated: Benedictine priory chapel, St Louis, Mo, p. 22-27; Carrier Chapel, Mississippi University for Women, Columbus, p. 28-31; National Air and Space Museum, Smithsonian Institution, Washington, DC, p. 32-39; King Saud University, Riyadh, Saudi Arabia (with GMW Partnership of London), p. 40-47; George R Moscone Convention Center, San Francisco, Ca (with Jack Young & Associates), p. 48-57; Dallas Galleria, Dallas, Tx (with Kendall Heaton Associates), p. 58-65; King Khalid International Airport, Riyadh, Saudi Arabia, p. 66-71; St Louis Union Station renovation and redevelopment, St Louis, Mo, p. 72-77; BP America corporate headquarters, Cleveland, Oh, p. 78-83; Kellogg Company corporate headquarters, Battle Creek, Mi, p. 84-91; Fairmont Hotel, San Jose, Ca, p. 92-97; Fairmont Hotel, Chicago, Il (with Fujikawa Johnson & Associates), p. 98-103; Burger King corporation world headquarters, Miami, Fl, p. 104-113; World Bank 'J' building, Washington, DC, p. 114-119; Joe Robbie Stadium, Dade County, Fl, p. 120-125; Bradley Center Arena, Milwaukee, Wi (with Venture Architects), p. 126-131; Pilot Field, Buffalo, NY, p. 132-137; Kansai International Airport design competition, Osaka, Japan (with Kajima Corporation), p. 138-141; Metropolitan Square, St Louis, Mo, p. 142-151; The Living World, St Louis Zoo, St Louis, Mo, p. 152-161; AmSouth/Harbert Plaza mixed use center, Birmingham, Al (with Gresham Smith & Partners), p. 162-167; 801 Grand Avenue, Des Moines, Io (with Brook Borg & Skiles), p. 168-171; Academic Research Building, J Hillis Miller Health Center, University of Florida, Gainsville, p. 172-177; Columbia University Center for Engineering and Physical Science Research, New York, NY, p. 178-181; Wells Fargo Center at Capitol Mall, Sacramento, Ca, p. 182-185; Minami Office Tower, Las Vegas, Nv, p. 186-189; Camden Yards Twin-Stadium Complex, Baltimore, Md, p. 190-191; Cervantes Convention Center expansion and domed stadium project, St Louis, Mo (with Kennedy Associates Architects), p. 192-195; The Temple: Reorganized Church of Jesus Christ of Latter Day Saints project, Independence, Mo, p. 196-199; Kings County Hospital Center project, Brooklyn, New York, NY (with Ellerbe Becket), p. 200-203; Brickell Gateway project, Miami, Fl, p. 204-207; Retirement park at Tokushima Prefecture project, Tokushima, Japan, p. 208-209; New York Hospital project, New York, NY (with Taylor Clark Architects), p. 210-213; Northwest Airlines World Travel Center competition design, Wayne County Airport, Detroit, Mi, p. 214-217; Foley Square competition design, New York, NY, p. 218-223…”

Tabla de Contenidos: “…Front Cover; Optical Fiber Telecommunications V A: Components and Subsystems; Copyright Page; Table of Contents; Contributors; Chapter 1 Overview of OFT V Volumes A & B; 1.1 FIVE EDITIONS; 1.2 PERSPECTIVE OF THE PAST 6 YEARS; 1.3 OFT V VOLUME A: COMPONENTS AND SUBSYSTEMS; 1.4 OFT V VOLUME B: SYSTEMS AND NETWORKS; ACKNOWLEDGMENTS; Chapter 2 Semiconductor Quantum Dots: Genesis-The Excitonic Zoo-Novel Devices for Future Applications; 2.1 PREFACE; 2.2 THE PREHISTORIC ERA-OR WHY DID A PROMISING APPROACH ALMOST DIE; 2.3 A NEW DAWN AND COLLECTIVE BLINDNESS; 2.4 DECISIVE BREAK-THROUGHS…”

Tabla de Contenidos: “…CleverHans -- The AML library -- EvadeML-Zoo -- Evading intrusion detection systems with adversarial network systems -- Summary -- Questions -- Further reading -- Chapter 9: Bypassing Machine Learning Malware Detectors -- Technical requirements -- Adversarial deep learning -- Foolbox -- Deep-pwning -- EvadeML -- Bypassing next generation malware detectors with generative adversarial networks -- The generator -- The discriminator -- MalGAN -- Bypassing machine learning with reinforcement learning -- Reinforcement learning -- Summary -- Questions -- Further reading -- Chapter 10: Best Practices for Machine Learning and Feature Engineering -- Technical requirements -- Feature engineering in machine learning -- Feature selection algorithms -- Filter methods -- Pearson's correlation -- Linear discriminant analysis -- Analysis of variance -- Chi-square -- Wrapper methods -- Forward selection -- Backward elimination -- Recursive feature elimination -- Embedded methods -- Lasso linear regression L1 -- Ridge regression L2 -- Tree-based feature selection -- Best practices for machine learning -- Information security datasets -- Project Jupyter -- Speed up training with GPUs -- Selecting models and learning curves -- Machine learning architecture -- Coding -- Data handling -- Business contexts -- Summary -- Questions -- Further reading -- Assessments -- Other Books You May Enjoy -- Index…”

Tabla de Contenidos: “….; UN POCO DE TODO, EN BASE A NADA; UN ZOO LÓGICO; ¡NO TE DUERMAS NUNCA!; EL CAMINO DE TRIUNVIRATO; EL CORAZÓN MIRANDO AL BARRIO SUR; RECONSTRUCCIÓN O BARBARIE; HACER .LA NUESTRA.; NO ES OBLIGACIÓN; BLUES DE LA COSTANERA SUR; DE .GARUFA. …”

Tabla de Contenidos: “…-- Big data characteristics -- Volume -- Variety -- Velocity -- Veracity -- NoSQL databases -- Hadoop, MapReduce, and HDFS -- Hadoop -- HDFS (Hadoop Distributed File System) -- MapReduce -- Cloud computing for Hadoop -- Dynamic Distributed Dimensional Data Model (D4M) -- Distributed computing for big data -- ZooKeeper for distributed computing -- Summary -- Chapter 9: Testing, Debugging, and Troubleshooting -- Challenges in testing distributed applications -- Standard testing approach in software systems -- Unit testing -- Mocking the dependencies -- Continuous Integration (CI)-based unit testing -- System testing -- System integration testing -- User Acceptance Testing -- Cloud distributed application testing -- Latest tools for testing Java distributed applications -- JUnit -- JTest -- TestNG -- Arquillian -- The Grinder -- JWalk -- Mockito -- PowerMock -- Debugging and troubleshooting distributed applications -- Summary -- Chapter 10: Security -- Security issues and concerns -- Two-way Secure Sockets Layer (SSL) implementation -- Two-way SSL implementation for web services -- Allow the secured calls in server application -- Generate a client program as a web service client with a two-way SSL -- Cloud computing security -- Security enhancements in Java 9 -- Datagram Transport Layer Security -- TLS Application Layer Protocol Negotiation Extension -- OCSP stapling for TLS -- Summary -- Index…”

Tabla de Contenidos: “…Photographing New York City Digital Field Guide; About the Authors; Credits; Acknowledgments; Introduction; Who the Book Is For; How To Use This Book; Chapter 1: The Bronx Zoo; Why It's Worth a Photograph; Where Can I Get the Best Shot?…”

Tabla de Contenidos: “…; Chapter 13: The National Zoo; Why It's Worth a Photograph; Where Can I Get the Best Shot?…”

Tabla de Contenidos: “…Moller Architects ; La Forum - Liner Competition / Assembledge + ; New York Buffer Space / OFF architecture ; Onigiri Shop at the Rokka Forest / Teruo Miyahara Architect Office ; Mythenquai Zürich / Topotek 1 ; Korkeasaari Zoo (Kozoo) / SLA ; Vaeksthuset Green House / CEBRA a/s, arkitekter maa ; Korkeasaari Zoo / Beckmann-N'Thépé Agency…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Dedications -- Foreword -- Contributors -- Table of Contents -- Preface -- Part 1: Introduction to Detectron2 -- Chapter 1: An Introduction to Detectron2 and Computer Vision Tasks -- Technical requirements -- Computer vision tasks -- Object detection -- Instance segmentation -- Keypoint detection -- Semantic segmentation -- Panoptic segmentation -- An introduction to Detectron2 and its architecture -- Introducing Detectron2 -- Detectron2 architecture -- Detectron2 development environments -- Cloud development environment for Detectron2 applications -- Local development environment for Detectron2 applications -- Connecting Google Colab to a local development environment -- Summary -- Chapter 2: Developing Computer Vision Applications Using Existing Detectron2 Models -- Technical requirements -- Introduction to Detectron2's Model Zoo -- Developing an object detection application -- Getting the configuration file -- Getting a predictor -- Performing inferences -- Visualizing the results -- Developing an instance segmentation application -- Selecting a configuration file -- Getting a predictor -- Performing inferences -- Visualizing the results -- Developing a keypoint detection application -- Selecting a configuration file -- Getting a predictor -- Performing inferences -- Visualizing the results -- Developing a panoptic segmentation application -- Selecting a configuration file -- Getting a predictor -- Performing inferences -- Visualizing the results -- Developing a semantic segmentation application -- Selecting a configuration file and getting a predictor -- Performing inferences -- Visualizing the results -- Putting it all together -- Getting a predictor -- Performing inferences -- Visualizing the results -- Performing a computer vision task -- Summary…”

Tabla de Contenidos: “…Installing and configuring Funktion -- The command-line client -- macOS 10.13 High Sierra -- Windows 10 Professional -- Ubuntu 17.04 -- Launching a single-node Kubernetes cluster -- Bootstrapping Funktion -- Deploying a simple function -- Twitter streams -- Summary -- Chapter 6: Installing Kubernetes in the Cloud -- Launching Kubernetes in DigitalOcean -- Creating Droplets -- Deploying Kubernetes using kubeadm -- Removing the cluster -- Launching Kubernetes in AWS -- Getting set up -- Launching the cluster using kube-aws -- The Sock Shop -- Removing the cluster -- Launching Kubernetes in Microsoft Azure -- Preparing the Azure command-line tools -- Launching the AKS cluster -- The Sock Shop -- Removing the cluster -- Launching Kubernetes on the Google Cloud Platform -- Installing the command-line tools -- Launching the Google container cluster -- The Sock Shop -- Running Kubeless -- Removing the cluster -- Summary -- Chapter 7: Apache OpenWhisk and Kubernetes -- Apache OpenWhisk overview -- Running Apache OpenWhisk locally -- Installing Vagrant -- Downloading and configuring Apache OpenWhisk -- Installing the Apache OpenWhisk client -- Hello world -- Running Apache OpenWhisk on Kubernetes -- Deploying OpenWhisk -- CouchDB -- Redis -- API Gateway -- ZooKeeper -- Kafka -- Controller -- Invoker -- NGINX -- Configuring OpenWhisk -- Hello world -- Summary -- Chapter 8: Launching Applications Using Fission -- Fission overview -- Installing the prerequisites -- Installing Helm -- Installing the Fission CLI -- Running Fission locally -- Launching Fission using Helm -- Working through the output -- Launching our first function -- A guestbook -- Fission commands -- The fission function command -- The create command -- The get option -- The list and getmeta commands -- The logs command -- The update command -- The delete command…”

Tabla de Contenidos: “…-- Hospitals -- Colleges and Universities -- Zoos -- Museums -- Human Services -- Performing Arts -- Technology -- The Truth About Philanthropy -- Chapter 2 Why Our Crisis Exists -- "Oh, You Want Your Diploma?" …”

Tabla de Contenidos: “…Technical requirements -- Understanding features and descriptors -- FAST corner detection -- Corner detection using the imcorner function -- Comparing performance -- BRIEF - efficient duplicate detection method -- Identifying image duplicates -- Creating a panorama from many images -- ORB, rotation invariant image matching -- BRISK - scale invariant image matching -- FREAK - fastest scale and rotation invariant matching -- Running face recognition -- Summary -- Questions -- Chapter 6: Introduction to Neural Networks -- Technical requirements -- Introduction -- The need for neural networks -- The need for MXNet -- First steps with the MNIST dataset -- Getting the data -- Preparing the data -- Defining a neural network -- Fitting the network -- Improving the network -- Predicting new images -- Putting it all together -- Multiclass classification with the CIFAR-10 dataset -- Getting and previewing the dataset -- Preparing the data -- Starting with the linear classifier -- Reusing the MNIST architecture -- Improving the network -- Accuracy - why at almost 70 -- Putting it all together -- Classifying cats versus dogs -- Getting and previewing the dataset -- Creating an image data iterator -- Training the model -- Putting it all together -- Reusing your models -- Saving the model -- Loading the model -- Summary -- Questions -- Further reading -- Chapter 7: Using Pre-Trained Neural Networks -- Technical requirements -- Introduction to pre-trained networks -- Transfer learning -- MXNet Model Zoo -- Predicting image classes using Inception V3 -- Setting up the Inception V3 environment -- Loading the network -- Preparing the datasets -- Running predictions -- Expected performance -- Putting it all together -- Predicting an image class using MobileNet V2 -- Setting up the environment -- Loading the network -- Preparing the datasets -- Running the predictions…”

Tabla de Contenidos: “…Banking and Personal Finances -- Cleaning and Housekeeping -- Decorating and Interior Design -- Electrical -- Home Building/Construction -- Home Repairs and Remodeling -- Insurance -- Investing and Retirement Planning -- Lawn Care and Landscaping -- Mortgages and Real Estate -- Moving and Relocation Services -- Pets -- Taxes -- 12 Religion/Philosophy -- Religion and Spirituality: General -- Atheism and Humanism -- Baha'i -- Buddhism -- Christianity -- Hinduism -- Islam -- Judaism -- New Thought -- 13 Shopping/Fashion -- Accessories -- Bargain Hunting -- Beauty -- Career Dressing -- Interior Design -- Jeans -- Lingerie -- Men's Fashion -- Petites -- Plus Size -- Shoes -- Shopping -- Style -- Tall -- Vintage -- 14 Sports -- Aerobatics -- Auto Racing -- Baseball -- BASE Jumping -- Basketball -- Billiards -- Bowling -- Boxing -- Bungee Jumping -- Climbing -- Competitive Eating -- Cricket -- Curling -- Cycling -- Dance -- Diving -- Equestrian Sports -- Fencing -- Fishing -- Football -- Golf -- Gymnastics -- Handball -- Hang Gliding and Paragliding -- Hockey -- Kayaking -- Lacrosse -- Martial Arts -- Motorcycle Sports -- Olympics -- Orienteering Sports -- Parasailing -- Racquet Sports (Excluding Tennis) -- Rafting -- Rodeo -- Rowing -- Rugby -- Sailing -- Scuba Diving -- Skateboarding -- Skating -- Skiing -- Snorkeling -- Soccer -- Softball -- Surfing -- Swimming -- Tennis -- Track and Field -- Volleyball -- Windsurfing -- Wrestling -- 15 Travel -- Airlines -- Air Travel -- Amusement Parks and Theme Parks -- Aquariums -- Bed-and-Breakfasts -- Budget Travel -- Car Rentals -- Cruise Lines -- Cruises -- Ecotourism -- Family Travel -- Foreign Languages -- General -- Hotels -- International Travel -- Museums -- Parks -- Restaurants -- U.S.Travel Destinations -- Vacations -- Zoos -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O.…”

Tabla de Contenidos: “…Campbell -- 1.1 Introduction 1 -- 1.1.1 Mission-Critical Cloud Solutions for the Military 2 -- 1.2 Overview of the Book 3 -- 2 Survivability: Design, Formal Modeling, and Validation of Cloud Storage Systems Using Maude 10 /Rakesh Bobba, Jon Grov, Indranil Gupta, Si Liu, José Meseguer,Peter Csaba Ölveczky, and Stephen Skeirik -- 2.1 Introduction 10 -- 2.1.1 State of the Art 11 -- 2.1.2 Vision: Formal Methods for Cloud Storage Systems 12 -- 2.1.3 The Rewriting Logic Framework 13 -- 2.1.4 Summary: Using Formal Methods on Cloud Storage Systems 15 -- 2.2 Apache Cassandra 17 -- 2.3 Formalizing, Analyzing, and Extending Google’s Megastore 23 -- 2.3.1 Specifying Megastore 23 -- 2.3.2 Analyzing Megastore 25 -- 2.3.2.1 Megastore-CGC 29 -- 2.4 RAMP Transaction Systems 30 -- 2.5 Group Key Management via ZooKeeper 31 -- 2.5.1 ZooKeeper Background 32 -- 2.5.2 System Design 33 -- 2.5.3 Maude Model 34 -- 2.5.4 Analysis and Discussion 35 -- 2.6 How Amazon Web Services Uses Formal Methods 37 -- 2.6.1 Use of Formal Methods 37 -- 2.6.2 Outcomes and Experiences 38 -- 2.6.3 Limitations 39 -- 2.7 Related Work 40 -- 2.8 Concluding Remarks 42 -- 2.8.1 The Future 43 -- 3 Risks and Benefits: Game-Theoretical Analysis and Algorithm for Virtual Machine Security Management in the Cloud 49 /Luke Kwiat, Charles A. …”

Tabla de Contenidos: “…-- Replication for SolrCloud -- TLOG replicas -- PULL replicas -- Schemaless improvements -- Autoscaling -- Default numeric types -- Spatial fields -- SolrJ -- JMX and MBeans -- Other changes -- Summary -- Chapter 2: Getting Started -- Solr installation -- Understanding various files and the folder structure -- bin -- Solr script -- Post script -- contrib -- DataImportHandler -- ContentExtractionLibrary -- LanguageIdentifier -- Clustering -- VelocityIntegration -- dist and docs -- example -- core.properties -- zoo.cfg -- solr.xml -- server -- Running Solr -- Running basic Solr commands -- Production Solr setup -- Loading sample data -- Loading data from MySQL -- Understanding the browse interface -- Using the Solr admin interface -- Dashboard -- Logging -- Cloud screens -- Tree view -- Graph view -- Collections or core admin -- Java properties -- Thread dump -- Collection-specific tools -- Overview -- Analysis -- DataImport -- Documents -- Files -- Query -- Stream -- Schema -- Core-specific tools -- Summary -- Chapter 3: Designing Schemas -- How Solr works -- Getting started with Solr's basics -- The schema file of Solr -- Understanding field types -- Definitions and properties of field types -- Field type properties -- Field types available in Solr -- Understanding date fields -- Understanding currencies and exchange rates -- Understanding enum fields -- Field management…”

Tabla de Contenidos: “…Understanding an online store -- Understanding an offline store -- Getting started with SageMaker Feature Store -- Creating a feature group -- Ingesting data to SageMaker Feature Store -- Ingesting from SageMaker Data Wrangler -- Accessing features from SageMaker Feature Store -- Accessing a feature group in the Studio UI -- Accessing an offline store - building a dataset for analysis and training -- Accessing online store - low-latency feature retrieval -- Summary -- Chapter 5: Building and Training ML Models with SageMaker Studio IDE -- Technical requirements -- Training models with SageMaker's built-in algorithms -- Training an NLP model easily -- Managing training jobs with SageMaker Experiments -- Training with code written in popular frameworks -- TensorFlow -- PyTorch -- Hugging Face -- MXNet -- Scikit-learn -- Developing and collaborating using SageMaker Notebook -- Summary -- Chapter 6: Detecting ML Bias and Explaining Models with SageMaker Clarify -- Technical requirements -- Understanding bias, fairness in ML, and ML explainability -- Detecting bias in ML -- Detecting pretraining bias -- Mitigating bias and training a model -- Detecting post-training bias -- Explaining ML models using SHAP values -- Summary -- Chapter 7: Hosting ML Models in the Cloud: Best Practices -- Technical requirements -- Deploying models in the cloud after training -- Inferencing in batches with batch transform -- Hosting real-time endpoints -- Optimizing your model deployment -- Hosting multi-model endpoints to save costs -- Optimizing instance type and autoscaling with load testing -- Summary -- Chapter 8: Jumpstarting ML with SageMaker JumpStart and Autopilot -- Technical requirements -- Launching a SageMaker JumpStart solution -- Solution catalog for industries -- Deploying the Product Defect Detection solution -- SageMaker JumpStart model zoo…”

Tabla de Contenidos: “…-- Preconfiguring mock objects -- assert methods of mock objects -- The unittest.mock patch function -- Using unittest's test discovery -- Unittest's discovery tool -- Command-line options in unit test discovery -- Using nose for unified test discovery and reporting -- Running our tests with nose -- The cover-package option -- Testing multiple worker processes -- Summary -- Chapter 10: Reactive Programming -- The concept of reactive programming -- Building a simple reactive programming framework -- Observers -- Observables -- Emitting events -- Building the observable sequence -- Illustrating a stream of animal events -- Composing an observable sequence -- Using the reactive extensions for Python (RxPY) -- Translating our zoo demo into Rx -- Observable factory methods -- Explaining the observable sequence of events -- Creating an asyncio scheduler -- Combining and processing observable sequences -- Miscellaneous observable factory methods -- The Observable.create method -- The Observable.select_many method -- Empty, return_value, and from_iterable factory methods -- The where factory method -- Summary -- Chapter 11: Microservices -- Microservices and the advantages of process isolation -- Advantages of the microservice architecture -- Applying the microservice architecture to web servers -- Building high-level microservices with Flask -- Installing Flask -- Creating endpoints for a RESTful API in Flask -- Building a microservice to maintain a database -- Making Flask handle a request -- Running and connecting to our microservice using Flask -- Test running the microservice -- Building high-level microservices with nameko -- Installing nameko…”

Tabla de Contenidos: “…The If Statement -- Relational Operators -- Try It Out 8-1 -- Complex If Conditions -- Try It Out 8-2 -- Comparing Strings -- The If/Else Statement -- Try It Out 8-3 -- Nested If and If/Else Statements -- Try It Out 8-4 -- The Goto Statement -- Try It Out 8-5 -- Programming Challenges -- Chapter 9: Using Decisions to Make Games -- The If/ElseIf Ladder -- Letter Grades -- The Bug on the Ladder -- Try It Out 9-1 -- Let's Get Logical -- Logical Operators in the Zoo -- The And Operator -- The Or Operator -- The Cosmic Order of Evaluation -- Try It Out 9-2 -- The Shapes Object -- Try It Out 9-3 -- Create a Game: Guess My Coordinates -- Step 1: Open the Startup File -- Step 2: Set Up the Game -- Step 3: Hide the Star -- Step 4: Let the User Guess -- Try It Out 9-4 -- Programming Challenges -- Chapter 10: Solving Problems with Subroutines -- Why Use Subroutines? …”

Tabla de Contenidos: “…Tools in the Toolbox -- 6.1 Toolbox tools -- 6.2 Networking and e-mail tools -- 6.2.1 ethereal -- 6.2.2 rsync -- 6.2.3 ftpcopy -- 6.2.4 ncftp -- 6.2.5 wget -- 6.2.6 rdist -- 6.2.7 lynx -- 6.2.8 curl -- 6.2.9 elm -- 6.2.10 fetchmail -- 6.2.11 mutt -- 6.2.12 proftpd -- 6.2.13 pine -- 6.2.14 wu-ftpd -- 6.3 File handling tools -- 6.3.1 zip -- 6.3.2 unzip -- 6.3.3 gzip/gunzip -- 6.3.4 bzip2/bunzip2 -- 6.3.5 zoo -- 6.3.6 lsof -- 6.3.7 less -- 6.3.8 findutils -- 6.3.9 fileutils -- 6.3.10 diffutils -- 6.3.11 hexedit -- 6.3.12 sh-utils -- 6.4 Development tools -- 6.4.1 libtool -- 6.4.2 autoconf/automake -- 6.4.3 rcs -- 6.4.4 patch -- 6.4.5 gcc -- 6.4.6 gdb -- 6.4.7 binutils -- 6.4.8 m4 -- 6.4.9 gmake -- 6.4.10 cvs -- 6.4.11 info -- 6.5 Miscellaneous tools -- 6.5.1 webmin -- 6.5.2 samba -- 6.5.3 vnc -- 6.5.4 php -- 6.5.5 sudo -- 6.6 Login shells -- 6.6.1 AIX shells -- 6.6.2 Toolbox shells -- 6.6.3 bash -- 6.6.4 tcsh -- 6.6.5 zsh -- Related publications -- IBM Redbooks -- Other resources -- Referenced Web sites -- How to get IBM Redbooks -- IBM Redbooks collections -- Index -- Back cover…”

Tabla de Contenidos: “…-- Part II: Common Topics -- Chapter 10: A Zoo of DSLs -- Graphviz -- JMock -- CSS -- Hibernate Query Language (HQL) -- XAML -- FIT -- Make et al. -- Chapter 11: Semantic Model -- How It Works -- When to Use It -- The Introductory Example (Java) -- Chapter 12: Symbol Table -- How It Works -- When to Use It -- Further Reading -- Dependency Network in an External DSL (Java and ANTLR) -- Using Symbolic Keys in an Internal DSL (Ruby) -- Using Enums for Statically Typed Symbols (Java) -- Chapter 13: Context Variable -- How It Works -- When to Use It -- Reading an INI File (C#) -- Chapter 14: Construction Builder -- How It Works -- When to Use It -- Building Simple Flight Data (C#) -- Chapter 15: Macro -- How It Works -- When to Use It -- Chapter 16: Notification -- How It Works -- When to Use It -- A Very Simple Notification (C#) -- Parsing Notification (Java) -- Part III: External DSL Topics -- Chapter 17: Delimiter-Directed Translation -- How It Works -- When to Use It -- Frequent Customer Points (C#) -- Parsing Nonautonomous Statements with Miss Grant's Controller (Java) -- Chapter 18: Syntax-Directed Translation -- How It Works -- When to Use It -- Further Reading -- Chapter 19: BNF -- How It Works -- When to Use It -- Chapter 20: Regex Table Lexer -- How It Works -- When to Use It -- Lexing Miss Grant's Controller (Java) -- Chapter 21: Recursive Descent Parser -- How It Works -- When to Use It -- Further Reading -- Recursive Descent and Miss Grant's Controller (Java) -- Chapter 22: Parser Combinator -- How It Works -- When to Use It -- Parser Combinators and Miss Grant's Controller (Java) -- Chapter 23: Parser Generator -- How It Works -- When to Use It…”