Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Dedication -- Preface -- Author Biography -- Chapter 1 Concepts and Foundations Automation and Emerging Technologies -- 1.1 Introduction -- 1.2 Structure and Framework of Automation and Key Performance Indexes (KPIs) -- 1.3 Advanced Image Processing Techniques -- 1.4 Fuzzy and Its Recent Advances -- 1.5 Automatic Detection and Its Applications in Infrastructure -- 1.6 Feature Extraction and Fragmentation Methods -- 1.7 Feature Prioritization and Selection Methods -- 1.8 Classification Methods and Its Applications in Infrastructure Management -- 1.9 Models of Performance Measures and Quantification in Automation -- 1.10 Nature-Inspired Optimization Algorithms (NIOAS) -- 1.11 Summary and Conclusion -- 1.12 Questions and Exercise -- Chapter 2 The Structure and Framework of Automation and Key Performance Indices (KPIs) -- 2.1 Introduction -- 2.2 Macro Plan and Architecture of Automation -- 2.2.1 Infrastructure Automation -- 2.2.2 Importance of Infrastructure Automation Evaluation -- 2.3 A General Framework and Design of Automation -- 2.4 Infrastructure Condition Index and Its Relationship with Cracking -- 2.4.1 Road Condition Index -- 2.4.2 Bridge Condition Index -- 2.4.3 Tunnel Condition Index -- 2.5 Automation, Emerging Technologies, and Futures Studies -- 2.6 Summary and Conclusion -- 2.7 Questions -- Further Reading -- Chapter 3 Advanced Images Processing Techniques -- Introduction -- 3.1 Preprocessing (PPS) -- 3.1.1 Edge Preservation Index (EPI) -- 3.1.2 Edge-Strength Similarity-Based Image Quality Metric (ESSIM) -- 3.1.3 QILV Index -- 3.1.4 Structural Content Index (SCI) -- 3.1.5 Signal-To-Noise Ratio Index (PSNR) -- 3.1.6 Computational time index (CTI) -- 3.2 Preprocessing Using Single-Level Methods -- 3.2.1 Single-Level Methods -- 3.2.2 Linear Location Filter (LLF) -- 3.2.3 Median Filter…”

Tabla de Contenidos: “…Franco, antimasón; La red de información «APIS»; Epílogo; SEGUNDA PARTE LA GUERRA CIVIL ESPAÑOLA; EL CONTEXTO. …”

Tabla de Contenidos: “…Contents at a Glance; Contents; Foreword; Additional Foreword; About the Author; About the Technical Reviewer; Acknowledgments; Introduction; Chapter 1: Mobile Development Using Xamarin; What Is Xamarin?; Wrapped Native APIs; Development Environments; UI Designers; What's Old: Familiar C# and .NET Techniques; What's New: Mobile Development Techniques; Mobile UI; Xamarin.Forms and Platform-Specific UI; Mobile UI Design; Xamarin.Forms Custom Renderers; Data Access Layer; Local Data Access Using SQLite; Data Binding; Cross-platform Development; Summary; Chapter 2: Building Mobile User Interfaces…”

Tabla de Contenidos: “…6.1.4 CSS -- 6.1.5 JavaScript -- 6.1.6 Java applets -- 6.1.7 XML (client side) -- 6.1.8 XHTML 1.1 (HTML 4.01) -- 6.1.9 XForms -- 6.2 Pervasive clients -- 6.2.1 Architecture -- 6.2.2 WAP -- 6.2.3 Microbrowser -- 6.2.4 WML -- 6.2.5 WMLScript -- 6.2.6 cHTML -- 6.2.7 VoiceXML -- 6.2.8 SyncML -- 6.2.9 Mobile devices -- 6.2.10 Mobile client platforms -- 6.3 Wireless networks -- 6.3.1 PAN (Personal Area Network) -- 6.3.2 WLAN (Wireless Local Area Network) -- 6.3.3 WWAN (Wireless Wide Area Network) -- 6.4 Web application server -- 6.4.1 Java servlets -- 6.4.2 Java portlet -- 6.4.3 JavaServer Pages (JSPs) -- 6.4.4 JavaBeans -- 6.4.5 XML -- 6.4.6 Enterprise JavaBeans -- 6.4.7 Additional enterprise Java APIs -- 6.5 Transcoding technology -- Chapter 7. …”

Tabla de Contenidos: “…Intro -- Table of Contents -- About the Author -- About the Technical Reviewers -- Acknowledgments -- Introduction -- Chapter 1: Introduction to Apache Spark -- Overview -- History -- Spark Core Concepts and Architecture -- Spark Cluster and Resource Management System -- Spark Applications -- Spark Drivers and Executors -- Spark Unified Stack -- Spark Core -- Spark SQL -- Spark Structured Streaming -- Spark MLlib -- Spark GraphX -- SparkR -- Apache Spark 3.0 -- Adaptive Query Execution Framework -- Dynamic Partition Pruning (DPP) -- Accelerator-aware Scheduler -- Apache Spark Applications -- Spark Example Applications -- Apache Spark Ecosystem -- Delta Lake -- Koalas -- MLflow -- Summary -- Chapter 2: Working with Apache Spark -- Downloading and Installation -- Downloading Spark -- Installing Spark -- Spark Scala Shell -- Spark Python Shell -- Having Fun with the Spark Scala Shell -- Useful Spark Scala Shell Command and Tips -- Basic Interactions with Scala and Spark -- Basic Interactions with Scala -- Spark UI and Basic Interactions with Spark -- Spark UI -- Basic Interactions with Spark -- Introduction to Collaborative Notebooks -- Create a Cluster -- Create a Folder -- Create a Notebook -- Setting up Spark Source Code -- Summary -- Chapter 3: Spark SQL: Foundation -- Understanding RDD -- Introduction to the DataFrame API -- Creating a DataFrame -- Creating a DataFrame from RDD -- Creating a DataFrame from a Range of Numbers -- Creating a DataFrame from Data Sources -- Creating a DataFrame by Reading Text Files -- Creating a DataFrame by Reading CSV Files -- Creating a DataFrame by Reading JSON Files -- Creating a DataFrame by Reading Parquet Files -- Creating a DataFrame by Reading ORC Files -- Creating a DataFrame from JDBC -- Working with Structured Operations -- Working with Columns -- Working with Structured Transformations…”

Tabla de Contenidos: “…Examples of Sequential Data -- Exercise 9.01: Training an ANN for Sequential Data - Nvidia Stock Prediction -- Recurrent Neural Networks -- RNN Architecture -- Vanishing Gradient Problem -- Long Short-Term Memory Network -- Exercise 9.02: Building an RNN with an LSTM Layer - Nvidia Stock Prediction -- Activity 9.01: Building an RNN with Multiple LSTM Layers to Predict Power Consumption -- Natural Language Processing -- Data Preprocessing -- Dataset Cleaning -- Generating a Sequence and Tokenization -- Padding Sequences -- Back Propagation Through Time (BPTT) -- Exercise 9.03: Building an RNN with an LSTM Layer for Natural Language Processing -- Activity 9.02: Building an RNN for Predicting Tweets' Sentiment -- Summary -- Chapter 10: Custom TensorFlow Components -- Introduction -- TensorFlow APIs -- Implementing Custom Loss Functions -- Building a Custom Loss Function with the Functional API -- Building a Custom Loss Function with the Subclassing API -- Exercise 10.01: Building a Custom Loss Function -- Implementing Custom Layers -- Introduction to ResNet Blocks -- Building Custom Layers with the Functional API -- Building Custom Layers with Subclassing -- Exercise 10.02: Building a Custom Layer -- Activity 10.01: Building a Model with Custom Layers and a Custom Loss Function -- Summary -- Chapter 11: Generative Models -- Introduction -- Text Generation -- Extending NLP Sequence Models to Generate Text -- Dataset Cleaning -- Generating a Sequence and Tokenization -- Generating a Sequence of n-gram Tokens -- Padding Sequences -- Exercise 11.01: Generating Text -- Generative Adversarial Networks -- The Generator Network -- The Discriminator Network -- The Adversarial Network -- Combining the Generative and Discriminative Models -- Generating Real Samples with Class Labels -- Creating Latent Points for the Generator…”

“…And to speak this language you've got to go beyond HTML5 markup and into the world of the DOM, events, and JavaScript APIs. Now you probably already know all about HTML markup (otherwise known as structure) and you know all aboutCSS style (presentation), but what you've been missing is JavaScript (behavior). …”

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Authors -- About the Reviewers -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Getting Started with Data Science -- Problems solved using data science -- Understanding the data science problem - solving approach -- Using Java to support data science -- Acquiring data for an application -- The importance and process of cleaning data -- Visualizing data to enhance understanding -- The use of statistical methods in data science -- Machine learning applied to data science -- Using neural networks in data science -- Deep learning approaches -- Performing text analysis -- Visual and audio analysis -- Improving application performance using parallel techniques -- Assembling the pieces -- Summary -- Chapter 2: Data Acquisition -- Understanding the data formats used in data science applications -- Overview of CSV data -- Overview of spreadsheets -- Overview of databases -- Overview of PDF files -- Overview of JSON -- Overview of XML -- Overview of streaming data -- Overview of audio/video/images in Java -- Data acquisition techniques -- Using the HttpUrlConnection class -- Web crawlers in Java -- Creating your own web crawler -- Using the crawler4j web crawler -- Web scraping in Java -- Using API calls to access common social media sites -- Using OAuth to authenticate users -- Handing Twitter -- Handling Wikipedia -- Handling Flickr -- Handling YouTube -- Searching by keyword -- Summary -- Chapter 3: Data Cleaning -- Handling data formats -- Handling CSV data -- Handling spreadsheets -- Handling Excel spreadsheets -- Handling PDF files -- Handling JSON -- Using JSON streaming API -- Using the JSON tree API -- The nitty gritty of cleaning text -- Using Java tokenizers to extract words -- Java core tokenizers -- Third-party tokenizers and libraries…”

“…You’ll also learn how to access device-specific APIs such as the geolocation API, and how to handle offline development with React Native. …”

Tabla de Contenidos: “…Putting it all together -- Summary -- Chapter 9: Authorship Attribution -- Attributing documents to authors -- Applications and use cases -- Authorship attribution -- Getting the data -- Using function words -- Counting function words -- Classifying with function words -- Support Vector Machines -- Classifying with SVMs -- Kernels -- Character n-grams -- Extracting character n-grams -- The Enron dataset -- Accessing the Enron dataset -- Creating a dataset loader -- Putting it all together -- Evaluation -- Summary -- Chapter 10: Clustering News Articles -- Trending topic discovery -- Using a web API to get data -- Reddit as a data source -- Getting the data -- Extracting text from arbitrary websites -- Finding the stories in arbitrary websites -- Extracting the content -- Grouping news articles -- The k-means algorithm -- Evaluating the results -- Extracting topic information from clusters -- Using clustering algorithms as transformers -- Clustering ensembles -- Evidence accumulation -- How it works -- Implementation -- Online learning -- Implementation -- Summary -- Chapter 11: Object Detection in Images using Deep Neural Networks -- Object classification -- Use cases -- Application scenario -- Deep neural networks -- Intuition -- Implementing deep neural networks -- An Introduction to TensorFlow -- Using Keras -- Convolutional Neural Networks -- GPU optimization -- When to use GPUs for computation -- Running our code on a GPU -- Setting up the environment -- Application -- Getting the data -- Creating the neural network -- Putting it all together -- Summary -- Chapter 12: Working with Big Data -- Big data -- Applications of big data -- MapReduce -- The intuition behind MapReduce -- A word count example -- Hadoop MapReduce -- Applying MapReduce -- Getting the data -- Naive Bayes prediction -- The mrjob package -- Extracting the blog posts…”

Tabla de Contenidos: “…4.1 Die Suche nach der optimalen Integrationsmethode4.1.1 Zu Ausfällen führende Änderungen vermeiden; 4.1.2 Technologieunabhängige APIs verwenden; 4.1.3 Services für den Nutzer vereinfachen; 4.1.4 Implementierungsdetails verbergen; 4.2 Kundendatensätze; 4.3 Gemeinsame Nutzung der Datenbank; 4.4 Synchrone kontra asynchrone Kommunikation; 4.5 Orchestrierung kontra Choreografie; 4.6 Aufruf entfernter Prozeduren (RPC); 4.6.1 Kopplung von Technologien; 4.6.2 Lokale Aufrufe sind keine entfernten Aufrufe; 4.6.3 Fragilität; 4.6.4 Ist RPC ein Übel?…”

Tabla de Contenidos: “…Chapter 8: Building for Humans versus Machines -- Technical requirements -- Building for humans versus machines -- Is it a TTY? -- Designing for a machine -- Designing for a human -- Increasing information density with ASCII art -- Displaying information with tables -- Clarifying with emojis -- Using color with intention -- Spinners and progress bars -- Disabling colors -- Being consistent across CLIs -- Naming -- Positional versus flag arguments -- Flag naming -- Usage -- Summary -- Questions -- Further reading -- Answers -- Chapter 9: The Empathic Side of Development -- Technical requirements -- Rewriting errors to be human-readable -- Guidelines for writing error messages -- Decorating errors -- Customizing errors -- Writing better error messages -- Providing debug and traceback information -- Logging data -- Initiating a logger -- Implementing a logger -- Trying out verbose mode to view stack traces -- Effortless bug submission -- Help, documentation, and support -- Generating help text -- Generating man pages -- Embedding empathy into your documentation -- Summary -- Questions -- Further reading -- Answers -- Chapter 10: Interactivity with Prompts and Terminal Dashboards -- Technical requirements -- Guiding users with prompts -- Designing a useful terminal dashboard -- Learning about Termdash -- Implementing a terminal dashboard -- Creating the terminal layer -- Creating the infrastructure layer -- Creating the container layer -- Creating the widgets layer -- Summary -- Questions -- Answers -- Further reading -- Part 4: Building and Distributing for Different Platforms -- Chapter 11: Custom Builds and Testing CLI Commands -- Technical requirements -- What are build tags and how can you use them? …”

Tabla de Contenidos: “…Chapter 4: How to Make Buildings Smarter with Smart Location -- Location data sources -- Indoor positioning -- Navigation, maps, and way-finders -- Asset location and tracking -- Asset-tracking technologies -- Real-time occupancy -- Occupancy sensing applications -- Occupancy-sensing technologies -- Summary -- Chapter 5: Tenant Services and Smart Building Amenities -- Work orders and tenant requests -- Space occupancy, utilization, and booking -- Financial interactions -- Data analytics -- Workforce applications -- Concierge services and the amenity marketplace -- Customized applications -- Gamification -- Custom experiences -- Summary -- Part 2: Smart Building Architecture -- Chapter 6: The Smart Building Ecosystem -- IoT sensors and devices -- Connectivity -- Transmission methods -- Traditional building communications protocols -- Common wireless IoT building communications protocols -- Three layers of computing -- Edge and fog computing -- Cloud computing -- Software and APIs -- Data management -- User interface and single pane of glass (SPOG) -- SPOG -- Summary -- Chapter 7: Smart Building Architecture and Use Cases -- Smart building architecture to pull components together -- Smart building architecture challenges -- IT/OT convergence -- Use case - IAQ monitoring -- Unexpected benefits -- Use case - smart IoT-connected restrooms -- Use case - PoE at the Sinclair Hotel -- How it works -- Solving for the smart building architecture -- Use case - energy reduction at an Australian shopping mall -- Cybersecurity for smart buildings -- NIST cybersecurity best practices -- Smart building IoT and privacy -- Summary -- Chapter 8: Digital Twins - a Virtual Representation -- Smart building digital twin defined -- History and use in smart buildings -- Monetization opportunities -- Types of digital twins -- Layers and components -- Creating a digital twin…”

Tabla de Contenidos: “…Chapter 14 Rights IssuesChapter 15 Integrating with Enterprise Systems; Chapter 16 Data Exchange Formats; Chapter 17 XML-Based Tools and Processes; Chapter 18 Interfaces and APIs; Chapter 19 Scripting Layers; Chapter 20 UNIX Command Line Tools; Chapter 21 Power Tools; Chapter 22 Automation with Shell Scripts; Chapter 23 Automation with AppleScript; Chapter 24 Script Automation in Windows; Chapter 25 Compiled and Interpreted Languages; Chapter 26 GUI Tools and Processes; Chapter 27 Building Tools; Chapter 28 Keep It Moving; Chapter 29 Publishing Systems…”

Tabla de Contenidos: “…-- Summary -- Chapter 5: Creating Our RESTful API -- Understanding RESTful -- Understanding HTTP -- URLs -- Verbs -- Headers -- Body -- CRUD over HTTP -- Designing APIs -- API first -- API design -- Nouns as paths -- HTTP verbs for CRUD -- API documentation -- Creating an API with Node.js -- Node advantages -- Asynchronous…”

Tabla de Contenidos: “…. -- Chapter 3: Building a RESTful API -- Technical requirements -- Introduction -- CRUD operations using ExpressJS' route methods -- Getting ready -- How to do it... -- Let's test it... -- How it works... -- CRUD operations with Mongoose -- Getting ready -- How to do it... -- See also -- Using Mongoose query builders -- Getting ready -- How to do it... -- See also -- Defining document instance methods -- Getting ready -- How to do it... -- There's more... -- See also -- Defining static model methods -- Getting ready -- How to do it... -- There's more... -- See also -- Writing middleware functions for Mongoose -- Getting ready -- How to do it... -- Document middleware functions -- Query middleware functions -- Model middleware functions -- There's more... -- See also -- Writing custom validators for Mongoose's schemas -- Getting ready -- How to do it... -- See also -- Building a RESTful API to manage users with ExpressJS and Mongoose -- Getting ready -- How to do it... -- Let's test it... -- How it works... -- See also -- Chapter 4: Real-Time Communication with Socket.IO and ExpressJS -- Technical requirements -- Introduction -- Understanding Node.js events -- Getting ready -- How to do it... -- How it works... -- There's more... -- Understanding Socket.IO events -- The Socket.IO server events -- Socket.IO client events -- Getting ready -- How to do it... -- How it works... -- Working with Socket.IO namespaces -- Getting ready -- How to do it... -- Let's test it... -- How it works... -- There's more... -- io.Manager -- Defining and joining Socket.IO rooms -- Getting ready -- How to do it... -- There's more... -- Writing middleware for Socket.IO -- Getting ready -- How to do it... -- Let's test it... -- Integrating Socket.IO with ExpressJS -- Getting ready -- How to do it…”

Tabla de Contenidos: “…. -- Chapter 8: Creating an API with Node.js Using MongoDB and MySQL -- Introduction -- Creating a basic API with Express -- Getting ready -- How to do it…”

Tabla de Contenidos: “…. -- How it works... -- Displaying pins in map view -- Getting ready -- How to do it... -- How it works... -- Getting directions between locations -- How to do it... -- How it works... -- Working with geofencing -- How to do it... -- How it works... -- Chapter 10: Security and Encryption -- Introduction -- Using Touch ID for user authentication -- Getting ready -- How to do it... -- How it works... -- Working with Keychain -- Getting ready -- How to do it... -- How it works... -- Encryption -- Getting ready…”

Tabla de Contenidos: “…Data modeling for infrastructure as code -- The Cisco API and ACI -- Cisco NX-API -- Lab Software Installation and Device Preparation -- NX-API examples -- Cisco and YANG model -- The Cisco ACI -- The Python API for Juniper networks -- Juniper and NETCONF -- Device Preparation -- Juniper NETCONF examples -- Juniper PyEZ for developers -- Installation and preparation -- PyEZ examples -- The Arista Python API -- The Arista eAPI management -- The eAPI preparation -- eAPI examples -- The Arista Pyeapi library -- The Pyeapi installation -- Pyeapi examples -- Vendor neutral libraries -- Summary -- Chapter 4: The Python Automation Framework - Ansible Basics -- A quick Ansible example -- The control node installation -- Your first Ansible playbook -- The Public key authorization -- The inventory file -- Our first playbook -- The advantages of Ansible -- Agentless -- Idempotent -- Simple and extensible -- The vendor Support -- The Ansible architecture -- YAML -- Inventories -- Variables -- Templates with Jinja2 -- Ansible networking modules -- Local connections and facts -- Provider arguments -- The Ansible Cisco example -- The Ansible Juniper example -- The Ansible Arista example -- Summary -- Chapter 5: The Python Automation Framework - Ansible Advance Topics -- Ansible conditionals -- The when clause -- Network module conditional -- Ansible loops -- Standard loops -- Looping over dictionaries -- Templates -- The Jinja2 template -- Jinja2 loops -- The Jinja2 conditional -- Group and host variables -- Group variables -- Host variables -- The Ansible vault -- The Ansible include and roles -- The Ansible include statement -- Ansible roles -- Writing your own custom module -- The first custom module -- The second custom module -- Summary -- Chapter 6: Network Security with Python -- The lab setup -- Python Scapy -- Installing Scapy -- Interactive examples…”

Tabla de Contenidos: “…-- Type hinting in a nutshell -- APIs: An introduction -- What is an API? -- What is the purpose of an API? …”