Tabla de Contenidos: “…-- Summary -- Chapter 4: State Management Patterns and Their Implementations -- Technical requirements -- Diving into the world of MVX patterns -- Defining criteria for the state management pattern -- Embracing data binding with MVVM in Flutter -- Extracting data logic into the Model -- Emitting data via the Streams API -- Encapsulating state in CartState -- Implementing the MVVM and MVI patterns with flutter_bloc -- What is a cubit? …”

Tabla de Contenidos: “…Training an ML model -- Data preparation and clustering -- Implementation and evaluation of clustering -- Pipeline 2: Scaling a Pinecone index (vector store) -- The challenges of vector store management -- Installing the environment -- Processing the dataset -- Chunking and embedding the dataset -- Chunking -- Embedding -- Duplicating data -- Creating the Pinecone index -- Upserting -- Querying the Pinecone index -- Pipeline 3: RAG generative AI -- RAG with GPT-4o -- Querying the dataset -- Querying a target vector -- Extracting relevant texts -- Augmented prompt -- Augmented generation -- Summary -- Questions -- References -- Further reading -- Chapter 7: Building Scalable Knowledge-Graph-Based RAG with Wikipedia API and LlamaIndex -- The architecture of RAG for knowledge-graph-based semantic search -- Building graphs from trees -- Pipeline 1: Collecting and preparing the documents -- Retrieving Wikipedia data and metadata -- Preparing the data for upsertion -- Pipeline 2: Creating and populating the Deep Lake vector store -- Pipeline 3: Knowledge graph index-based RAG -- Generating the knowledge graph index -- Displaying the graph -- Interacting with the knowledge graph index -- Installing the similarity score packages and defining the functions…”

Tabla de Contenidos: “…Relating and Combining Data Sources -- Working with Data Relationships -- Knowing the advantages of relationships -- Seeing the disadvantages of relationships -- Creating relationships -- Editing relationships -- Moving tables to create different relationships -- Changing the root table of a relationship -- Removing tables from a relationship -- Joining Data -- Understanding join types -- Setting up join clauses -- Creating a join -- Joining fields that contain null values -- Blending data from multiple sources -- Working with clipboard data -- Chapter 5 Ready, Set, Data Prep: Readying Your Data for Prime Time -- Dabbling in Data Flows -- Connecting the data dots -- Going down the data flow pathway -- Configuring the data flow -- Going with the data flow -- Refreshing data in the input step -- Extract input step updates -- Creating a union among files or database tables in the input step -- Joining data and input steps -- Nurturing a flow -- Grouping flows -- Filtering flows -- Advanced filtering options -- Data cleansing options -- Using Split Value -- Calculating values -- Validating Data -- Assigning roles to data -- Publishing output as a data role -- Saving Prep Data -- Saving flows -- Automating flows -- Viewing outputs on Tableau Desktop -- Crafting published data sources -- Chapter 6 Structuring Data for Liftoff -- Dipping into Data Structure and Results -- Peering into Data Structures -- Rows and records -- Columns and fields -- Categorizing fields -- Structuring for Data Visualization -- Binning and histograms -- Distributions and outliers -- Pivoting with data: Tall versus wide -- Normalizing Data -- Part 3 Telling the Data Story in Tableau -- Chapter 7 Touring Tableau Desktop -- Getting Hands-On in the Tableau Desktop Workspace -- Making use of the Tableau Desktop menus -- File menu -- Data menu -- Worksheet menu -- Dashboard menu…”

Tabla de Contenidos: “…-- The Class Diagram -- Interaction Diagrams -- Summary -- Review Questions -- PART II: The Limitations of Traditional Object-Oriented Design -- Chapter 3 A Problem That Cries Out for Flexible Code -- Overview -- Extracting Information from a CAD/CAM System -- Understand the Vocabulary -- Describe the Problem -- The Essential Challenges and Approaches -- Summary -- Review Questions -- Chapter 4 A Standard Object-Oriented Solution -- Overview -- Solving with Special Cases -- Summary -- Review Questions -- PART III: Design Patterns -- Chapter 5 An Introduction to Design Patterns -- Overview -- Design Patterns Arose from Architecture and Anthropology -- Moving from Architectural to Software Design Patterns -- Why Study Design Patterns? …”

Tabla de Contenidos: “…6.1 Relationship to the Architecture Business Cycle -- 6.2 Requirements and Qualities -- 6.3 Architectural Solution -- 6.4 Summary -- 6.5 For Further Reading -- 6.6 Discussion Questions -- CHAPTER 7 Designing the Architecture -- 7.1 Architecture in the Life Cycle -- 7.2 Designing the Architecture -- 7.3 Forming the Team Structure -- 7.4 Creating a Skeletal System -- 7.5 Summary -- 7.6 For Further Reading -- 7.7 Discussion Questions -- CHAPTER 8 Flight Simulation: A Case Study in an Architecture for Integrability -- 8.1 Relationship to the Architecture Business Cycle -- 8.2 Requirements and Qualities -- 8.3 Architectural Solution -- 8.4 Summary -- 8.5 For Further Reading -- 8.6 Discussion Questions -- CHAPTER 9 Documenting Software Architectures -- 9.1 Uses of Architectural Documentation -- 9.2 Views -- 9.3 Choosing the Relevant Views -- 9.4 Documenting a View -- 9.5 Documentation across Views -- 9.6 Unified Modeling Language -- 9.7 Summary -- 9.8 For Further Reading -- 9.9 Discussion Questions -- CHAPTER 10 Reconstructing Software Architectures -- 10.1 Introduction -- 10.2 Information Extraction -- 10.3 Database Construction -- 10.4 View Fusion -- 10.5 Reconstruction -- 10.6 Example -- 10.7 Summary -- 10.8 For Further Reading -- 10.9 Discussion Questions -- PART THREE: ANALYZING ARCHITECTURES -- CHAPTER 11 The ATAM: A Comprehensive Method for Architecture Evaluation -- 11.1 Participants in the ATAM -- 11.2 Outputs of the ATAM -- 11.3 Phases of the ATAM -- 11.4 The Nightingale System: A Case Study in Applying the ATAM -- 11.5 Summary -- 11.6 For Further Reading -- 11.7 Discussion Questions -- CHAPTER 12 The CBAM: A Quantitative Approach to Architecture Design Decision Making -- 12.1 Decision-Making Context -- 12.2 The Basis for the CBAM -- 12.3 Implementing the CBAM -- 12.4 Case Study: The NASA ECS Project -- 12.5 Results of the CBAM Exercise…”

Tabla de Contenidos: “…-- Well-Formedness Rules -- XML Encoding -- Special Characters -- Summary -- 2 Native XML Storage: XMLType -- Creating XMLTypes -- XML Schema-based XMLType -- Querying XMLTypes -- Updating XMLTypes -- Transforming XMLTypes -- Reading Binary XMLTypes in Java -- Summary -- 3 XML Database Repository -- Creating Resources -- Deleting Resources -- Querying XML DB Repository -- Using RESOURCE_VIEW and PATH_VIEW -- Using XDBUriType -- Linking to Resources -- Updating Resources -- Version Control -- Using XML DB Repository Events -- Creating Event Handlers -- Registering Event Handlers -- Summary -- 4 Parsing XML -- DOM Parsing in Java -- Basic DOM Parsing -- Splitting XML Using DOM -- Scalable DOM Parsing -- Cutting and Pasting Across Documents -- DOM Parsing in SQL -- Retrieving and Creating a CDATA Section -- Importing a DOM Node -- SAX Parsing -- Basic SAX Parsing -- SAX Print -- Parsing Binary XML -- Writing XML to Binary XML -- Reading from Binary XML -- Summary -- 5 Validating XML -- DTD Validation -- Using Oracle XDK Command-Line Utility -- Using Oracle XDK Java APIs -- Using Oracle XML DB -- XML Schema Validation -- XML Schema and Namespaces -- Using Oracle XDK Command-Line Utility -- Using Oracle XDK Java APIs -- Using Oracle XML DB -- Using JAXB with XML Schemas -- Summary -- 6 Navigating XML with XPath -- XPath Basics -- Processing XPath in Java -- Extracting XPath from XML Documents -- Summary -- 7 XSL Transformations -- Understanding XSLT Processing -- Basic XSLT Features -- Multiple XML Inputs -- Building an XSL Index -- Creating XSLT Extensions -- Advanced XSLT Features -- Modularizing XSLT Processing with Temporary Trees…”

Tabla de Contenidos: “…-- The SparkContext object -- Creating RDDs -- Transforming RDDs -- Map example -- RDD actions -- Ratings histogram walk-through -- Understanding the code -- Setting up the SparkContext object -- Loading the data -- Extract (MAP) the data we care about -- Perform an action - count by value -- Sort and display the results -- Looking at the ratings-counter script in Canopy -- Key/value RDDs and the average friends by age example -- Key/value concepts - RDDs can hold key/value pairs -- Creating a key/value RDD -- What Spark can do with key/value data? …”

Tabla de Contenidos: “…. -- Short- and Long-Term Effects of a Prebiotic Intervention with Polyphenols Extracted from -- European Black Elderberry-Sustained Expansion of Akkermansia spp. -- Reprinted from: J. …”

Tabla de Contenidos: “…Improvisational retrospective sensemaking -- Characteristics of improvisational sensemaking -- Identity construction in improvisational sensemaking -- Improvisational decision sensemaking -- Improvisational action sensemaking -- Improvisational retrospective sensemaking -- Temporal character of improvisational sensemaking -- Improvisational decision sensemaking -- Improvisational action sensemaking -- Improvisational retrospective sensemaking -- Improvisational sensemaking enactment from the environment -- Improvisational decision sensemaking -- Improvisational action sensemaking -- Improvisational retrospective sensemaking -- Improvisational sensemaking as a social process -- Improvisational decision sensemaking -- Improvisational action sensemaking -- Improvisational retrospective sensemaking -- The ongoing nature of improvisational sensemaking -- Improvisational decision sensemaking -- Improvisational action sensemaking -- Improvisational retrospective sensemaking -- The improvisational sensemaking focus on and by extracted cues -- Improvisational decision sensemaking -- Improvisational action sensemaking -- Improvisational retrospective sensemaking -- The plausibility vs. accuracy drive of improvisational sensemaking -- Improvisational decision sensemaking -- Improvisational action sensemaking -- Improvisational retrospective sensemaking -- Conclusion -- References -- 6. …”

Tabla de Contenidos: “…. -- How it works... -- See also -- Extracting substrings -- How to do it... -- How it works... -- There's more... -- See also -- Cleaning strings -- Getting ready -- How to do it... -- How it works... -- See also -- Splitting strings into lists and structs -- Getting ready -- How to do it... -- How it works... -- See also -- Concatenating and combining strings -- Getting ready -- How to do it... -- How it works... -- See also -- Chapter 7: Working with Nested Data Structures -- Technical requirements -- Creating lists -- How to do it... -- How it works... -- There's more... -- See also -- Aggregating elements in lists -- How to do it... -- How it works... -- There's more... -- See also -- Accessing and selecting elements in lists -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Applying logic to each element in lists -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Working with structs and JSON data -- Getting ready -- How to do it... -- How to do it... -- There's more... -- See also -- Chapter 8: Reshaping and Tidying Data -- Technical requirements -- Turning columns into rows -- How to do it... -- How it works... -- See also -- Turning rows into columns -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Joining DataFrames -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Concatenating DataFrames -- Getting ready -- How to do it…”

Tabla de Contenidos: “…-- Modern challenges in the world of privacy-centric marketing -- The importance of data engineering and tracking -- Don't moonlight as a data engineer -- Web tracking is hard, and it is becoming harder -- Summary -- References -- Chapter 2: Extracting and Exploring Data with Singer and pandas -- Technical requirements -- What is ETL, and why should you care? …”

Tabla de Contenidos: “…Specification - storing current move -- Implementation -- Specification - error handling -- Implementation -- Specification - alternate players -- Implementation -- Exercises -- Integration tests -- Tests separation -- The integration test -- Summary -- Chapter 7: TDD and Functional Programming - A Perfect Match -- Setting up the environment -- Optional - dealing with uncertainty -- Example of Optional -- Functions revisited -- Kata - Reverse Polish Notation -- Requirements -- Requirement - handling invalid input -- Requirement - single operations -- Requirement - complex operations -- Streams -- filter -- map -- flatMap -- reduce -- Summary -- Chapter 8: BDD - Working Together with the Whole Team -- Different specifications -- Documentation -- Documentation for coders -- Documentation for non-coders -- Behavior-driven development -- Narrative -- Scenarios -- The book store BDD story -- JBehave -- JBehave runner -- Pending steps -- Selenium and Selenide -- JBehave steps -- Final validation -- Summary -- Chapter 9: Refactoring Legacy Code - Making It Young Again -- Legacy code -- Legacy code example -- Other ways to recognize legacy code -- A lack of dependency injection -- The legacy code change algorithm -- Applying the legacy code change algorithm -- Identifying change points -- Finding test points -- Breaking dependencies -- Writing tests -- The kata exercise -- Legacy kata -- Description -- Technical comments -- Adding a new feature -- Black-box or spike testing -- Preliminary investigation -- How to find candidates for refactoring -- Introducing the new feature -- Applying the legacy code algorithm -- Writing end-to-end test cases -- Automating the test cases -- Injecting the BookRepository dependency -- Extract and override call -- Parameterizing a constructor -- Adding a new feature -- Removing the primitive obsession with status as int…”

Tabla de Contenidos: “…Autoregressive models -- Moving average models -- Autoregressive moving average model -- Autoregressive integrated moving average models -- Removing seasonality from a time series -- Analyzing a time series dataset -- Identifying a trend in a time series -- Time series decomposition -- Additive method -- Multiplicative method -- LSTM for time series analysis -- Overview of the time series dataset -- Data scaling -- Data splitting -- Building the model -- Making predictions -- Summary -- Chapter 15: Reinforcement Learning -- Reinforcement learning introduction -- Agent-Environment interface -- Markov Decision Process -- Discounted cumulative reward -- Exploration versus exploitation -- Reinforcement learning techniques -- Q-learning -- Temporal difference learning -- Dynamic Programming -- Monte Carlo methods -- Deep Q-Network -- OpenAI Gym -- Cart-Pole system -- Learning phase -- Testing phase -- Summary -- Chapter 16: Generative Neural Networks -- Unsupervised learning -- Generative models -- Restricted Boltzmann machine -- Boltzmann machine architecture -- Boltzmann machine disadvantages -- Deep Boltzmann machines -- Autoencoder -- Variational autoencoder -- Generative adversarial network -- Adversarial autoencoder -- Feature extraction using RBM -- Breast cancer dataset -- Data preparation -- Model fitting -- Autoencoder with Keras -- Load data -- Keras model overview -- Sequential model -- Keras functional API -- Define model architecture -- Magenta -- The NSynth dataset -- Summary -- Chapter 17: Chatbots -- Chatbots fundamentals -- Chatbot history -- The imitation game -- Eliza -- Parry -- Jabberwacky -- Dr. …”

Tabla de Contenidos: “…Other popular image testing datasets -- The CIFAR dataset -- The Fashion-MNIST dataset -- The ImageNet dataset and competition -- The bigger deep learning models -- The AlexNet model -- The VGG-16 model -- The Google Inception-V3 model -- The Microsoft ResNet-50 model -- The SqueezeNet model -- Spatial transformer networks -- The DenseNet model -- Training a model for cats versus dogs -- Preparing the data -- Benchmarking with simple CNN -- Augmenting the dataset -- Augmentation techniques -- Transfer learning or fine-tuning of a model -- Training on bottleneck features -- Fine-tuning several layers in deep learning -- Developing real-world applications -- Choosing the right model -- Tackling the underfitting and overfitting scenarios -- Gender and age detection from face -- Fine-tuning apparel models -- Brand safety -- Summary -- Chapter 3: Image Retrieval -- Understanding visual features -- Visualizing activation of deep learning models -- Embedding visualization -- Guided backpropagation -- The DeepDream -- Adversarial examples -- Model inference -- Exporting a model -- Serving the trained model -- Content-based image retrieval -- Building the retrieval pipeline -- Extracting bottleneck features for an image -- Computing similarity between query image and target database -- Efficient retrieval -- Matching faster using approximate nearest neighbour -- Advantages of ANNOY -- Autoencoders of raw images -- Denoising using autoencoders -- Summary -- Chapter 4: Object Detection -- Detecting objects in an image -- Exploring the datasets -- ImageNet dataset -- PASCAL VOC challenge -- COCO object detection challenge -- Evaluating datasets using metrics -- Intersection over Union -- The mean average precision -- Localizing algorithms -- Localizing objects using sliding windows -- The scale-space concept…”

Tabla de Contenidos: “…-- When to Restructure Spans and Layers -- How to Restructure Spans and Layers: Five Steps to a Leaner Organization -- Step 1: Define the Art of the Possible -- Step 2: Baseline the Organizational Structure -- Step 3: Design the Target State for the Top of the Organization -- Step 4: Redesign the Rest of the Organization Holistically -- Step 5: Identify Candidates and Build Transition Plans -- Chapter 12: Strategic Supply Management: Extract More Value from Your Purchases -- What Is Strategic Supply Management? …”

Tabla de Contenidos: “…. -- There's more... -- Extracting features from text -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Discretizing continuous variables -- Getting ready -- How to do it... -- How it works... -- Standardizing continuous variables -- Getting ready -- How to do it... -- How it works... -- Topic mining -- Getting ready -- How to do it... -- How it works... -- Chapter 7: Structured Streaming with PySpark -- Introduction -- Understanding Spark Streaming…”

Tabla de Contenidos: “…Creating a blog posts page component -- Posting data with fetch -- Creating new blog posts using fetch -- Creating a blog post form component -- Using React Router -- Understanding React Router data loading -- Using React Router for data loading -- Deferred React Router data fetching -- Using React Query -- Installing React Query -- Adding the React Query provider -- Getting data using React Query -- Updating data using React Query -- Using React Router with React Query -- Summary -- Questions -- Answers -- Chapter 10: Interacting with GraphQL APIs -- Technical requirements -- Understanding the GraphQL syntax -- Returning flat data -- Returning hierarchical data -- Specifying query parameters -- GraphQL mutations -- Setting up the project -- Creating the project -- Creating a PAT for the GitHub GraphQL API -- Creating environment variables -- Using React Query with fetch -- Creating the header -- Creating the repository page -- Using Apollo Client -- Understanding Apollo Client -- Installing Apollo Client -- Refactoring the App component -- Refactoring the Header component -- Refactoring the repository page -- Summary -- Questions -- Answers -- Part 4: Advanced React -- Chapter 11: Reusable Components -- Technical requirements -- Creating the project -- Using generic props -- Understanding generics -- Creating a basic list component -- Using props spreading -- Using render props -- Understanding the render props pattern -- Adding a renderItem prop -- Adding checked functionality -- Creating custom hooks -- Understanding custom hooks -- Extracting checked logic into a custom hook -- Allowing the internal state to be controlled -- Understanding how the internal state can be controlled -- Allowing checkedIds to be controlled -- Summary -- Questions -- Answers -- Chapter 12: Unit Testing with Jest and React Testing Library -- Technical requirements…”

Tabla de Contenidos: “…Passing data from PHP into JS -- Single Directory Components -- Drupal accessibility tips -- The visually hidden CSS class -- Drupal announce JS API -- Using buttons as menu items -- Contributed modules that help with theming -- Summary -- Chapter 20: Delivering Drupal Content through APIs -- Web services primer -- Web service APIs in Drupal -- Concepts -- Modules and configuration -- Using web services -- Basic JSON:API examples -- Basic REST API examples -- REST clients -- Summary -- Chapter 21: Migrating Content into Drupal -- Migration concepts -- The Migrate system -- Extract -- Transform -- Load -- Custom events -- Operating migrations -- Contributed modules -- Use cases -- Summary -- Chapter 22: Multisite Management -- The multisite feature -- Benefits -- Drawbacks -- Automating deployments across many sites -- Summary -- Appendix A - Drupal Terminology -- Index -- About PACKT -- Other Books You May Enjoy…”

Tabla de Contenidos: “…Modifying the Siebel schema for a production environment -- 3.1 Extracting a current storage control file -- 3.2 Modifying the storage control file - table space partitioning -- 3.2.1 Running the Siebel Database Configuration utility -- 3.2.2 Creating a backup table -- 3.2.3 Synchronize schema definition - produce a new schema file -- 3.2.4 Applying the schema changes -- 3.2.5 Saving the storage control file -- Chapter 4. …”

Tabla de Contenidos: “…2.3.12 How to query package information from the RPM database -- 2.3.13 How to query all files in uninstalled packages -- 2.3.14 How to query all files in installed packages -- 2.3.15 How to query specific information from the RPM database -- 2.3.16 How to identify corrupt package files -- 2.3.17 How to extract files from a package -- 2.3.18 How to install RPM and BFF packages with SMIT or geninstall -- Chapter 3. …”