Tabla de Contenidos: “…-- Using the power of npm modules -- Using the data you collect -- Some things to keep in mind -- Getting weather data on our Pi with OpenWeatherMap -- Getting an OpenWeatherMap API key -- Bringing in request -- Parsing the response -- Building a weather dashboard with an LCD -- Adding an LCD to the Pi -- The LCD object…”

Tabla de Contenidos: “…No more third-party libraries -- JSON processing -- JSON-P 1.1 -- JSON Pointer and JSON Patch -- JSON merge patch -- JSON Collectors -- JSON binding -- Similar to JAXB with default mappings -- Standardizes current solutions (Jackson, Gson, and so on) -- Mapping between classes and JSON -- Customisation APIs -- Few tips in practice -- Summary -- Chapter 6: Power Your APIs with JAXRS and CDI -- Resources -- URI templates -- Matching requests to resource methods -- Providers -- Entity providers -- Exception mapping -- Client API -- Targets -- Reactive clients -- Filters and interceptors -- Validation -- Asynchronous processing -- Server-Sent Events -- WebSockets -- Context -- Swagger -- API -- Maven plugin -- Summary -- Chapter 7: Putting It All Together with Payara -- Building an Issue Management System (IMS) backend -- Using Java EE 8 technologies -- Defining the data model -- Building microservices using REST -- Swagger documentation -- Using JPA for persistence -- Deploying on Payara -- Uber JAR and Skinny WARs -- Running multiple microservices in Docker -- Learning to use the new features of Payara Micro -- Extras -- CDI event bus -- Tips and tricks -- Summary -- Chapter 8: Basic TypeScript -- Getting started with TypeScript -- Why use it? …”

Tabla de Contenidos: “…JavaServer Faces Standard Components -- 5. Advanced JavaServer Faces and Ajax -- 6. …”

Tabla de Contenidos: “…-- Big data for analytics -- Big data - a bigger pay package for Java developers -- Basics of Hadoop - a Java sub-project -- Distributed computing on Hadoop -- HDFS concepts -- Design and architecture of HDFS -- Main components of HDFS -- HDFS simple commands -- Apache Spark -- Concepts -- Transformations -- Actions -- Spark Java API -- Spark samples using Java 8 -- Loading data -- Data operations - cleansing and munging -- Analyzing data - count, projection, grouping, aggregation, and max/min -- Actions on RDDs -- Paired RDDs -- Saving data -- Collecting and printing results -- Executing Spark programs on Hadoop -- Apache Spark sub-projects -- Spark machine learning modules -- Mahout - a popular Java ML library -- Deeplearning4j - a deep learning library -- Summary -- Chapter 2: First Steps in Data Analysis -- Datasets -- Data cleaning and munging -- Basic analysis of data with Spark SQL -- Building SparkConf and context -- Dataframe and datasets -- Load and parse data -- Analyzing data - the Spark-SQL way -- Spark SQL for data exploration and analytics -- Market basket analysis - Apriori algorithm -- Implementation of the Apriori algorithm in Apache Spark -- Efficient market basket analysis using FP-Growth algorithm -- Running FP-Growth on Apache Spark -- Summary -- Chapter 3: Data Visualization -- Data visualization with Java JFreeChart -- Using charts in big data analytics -- Time series chart -- All India seasonal and annual average temperature series dataset -- Simple single Time Series chart -- Multiple Time Series on a single chart window -- Bar charts -- Histograms -- When would you use a histogram?…”

Tabla de Contenidos: “…The placement of embedded modes in a Java regular expression -- Disabling mode modifiers -- Summary -- Chapter 3: Working with Groups, Capturing, and References -- Capturing groups -- Group numbering -- Named groups -- Non-capturing groups -- Advantages of non-capturing groups -- Back references -- Back reference of a named group -- Replacement reference of a named group -- Forward references -- Invalid (non-existing) backward or forward references -- Summary -- Chapter 4: Regular Expression Programming Using Java String and Scanner APIs -- Introduction to the Java String API for regular expressions' evaluation -- Method - boolean matches(String regex) -- Example of the matches method -- Method - String replaceAll(String regex, String replacement) -- Examples of the replaceAll method -- Method - String replaceFirst(String regex, String replacement) -- Examples of the replaceFirst method -- Methods - String split methods -- The limit parameter rules -- Examples of the split method -- Example of the split method using the limit parameter -- Using regular expressions in Java Scanner API -- Summary -- Chapter 5: Introduction to Java Regular Expression APIs - Pattern and Matcher Classes -- The MatchResult interface -- The Pattern class -- Examples using the Pattern class -- Filtering a list of tokens using the asPredicate() method -- The Matcher class -- Examples using the Matcher class -- Method Boolean lookingAt() -- The matches() method -- The find() and find(int start) methods -- The appendReplacement(StringBuffer sb, String replacement) method -- The appendTail(StringBuffer sb) method -- Example of the appendReplacement and appendTail methods -- Summary -- Chapter 6: Exploring Zero-Width Assertions, Lookarounds, and Atomic Groups -- Zero-width assertions -- Predefined zero-width assertions -- Regex defined zero-width assertions…”

Materias: “…Java (Computer program language)…”

Tabla de Contenidos: “…-- Survey of NLP tools -- Apache OpenNLP -- Stanford NLP -- LingPipe -- GATE -- UIMA -- Apache Lucene Core -- Deep learning for Java -- Overview of text-processing tasks -- Finding parts of text -- Finding sentences -- Feature-engineering -- Finding people and things -- Detecting parts of speech -- Classifying text and documents -- Extracting relationships -- Using combined approaches -- Understanding NLP models -- Identifying the task -- Selecting a model -- Building and training the model -- Verifying the model -- Using the model -- Preparing data -- Summary -- Chapter 2: Finding Parts of Text -- Understanding the parts of text -- What is tokenization? …”

Tabla de Contenidos: “…Network Programming -- 5. JDBC API -- 6. Java Remote Method Invocation -- 7. Java Native Interface -- 8. …”

Materias: “…JavaScript (Computer program language)…”

“…In this book, we are going on an adventure together and will build a roguelike from scratch using JavaScript. With the help of the battle-tested Phaser library, we’re going to go through all the steps to build a small, fun, playable web roguelite game. …”

Materias: “…Java (Computer program language)…”

Tabla de Contenidos: “…-- About this book -- RxJava 2 and Android -- Setting up the Android environment -- Java 8 lambdas -- Deep dive into Rx: Live search -- Conditions for triggering search -- Project setup -- Text input as an emitter of data -- The publish-subscribe pattern -- Text input as an observable -- Filtering observables -- Bending time -- Bending time to your benefit -- Debounce: The bus stop operator -- Putting your code into Android -- Coffee break -- Principles of reactive programming -- Events and marble diagrams -- Summary -- Chapter 2. …”

Tabla de Contenidos: “…Java Deep Learning Cookbook: Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j…”

Materias: “…JavaScript (Computer program language)…”

Materias: “…Java (Computer program language)…”

Materias: “…Java (Computer program language)…”

“…Exploit the Power of Modern JavaScript and Avoid the Pitfalls JavaScript was originally designed for small-scale programming in web browsers, but modern JavaScript is radically different. …”

Tabla de Contenidos: “…-- 1.5 Why use JavaScript for data wrangling? -- 1.6 Is JavaScript appropriate for data analysis? …”

Materias: “…Java (Computer program language)…”

Tabla de Contenidos: “…Common Use Cases with JPA -- 5. Java Persistence Without ORMs -- 6. Deep Dive into Microservices Development with Java -- PART III: Making HTTP Faster -- 7. …”