This document summarizes an introduction to Java 8 streams presentation given on September 2, 2015 in Louvain-La-Neuve, Belgium by Marc Tritchler. The presentation covered the history and features of Java 8 streams including lambda expressions, default methods, and functional interfaces. It provided examples of creating streams from collections, files, and primitive types as well as common stream operations like filter, map, and forEach. The ordering and laziness of intermediate operations was discussed.
The document discusses the new features and certification process for Java SE 7. It describes that the certification has been updated to require more advanced skills. There are now two certification levels: Oracle Certified Associate, Java SE 7 Programmer (OCA) and Oracle Certified Professional, Java SE 7 Programmer (OCP). The OCA exam covers basic Java topics in 90 multiple choice questions over 140 minutes. The OCP exam requires passing the OCA first and covers more advanced topics in 90 questions over 150 minutes. Developers with prior certifications can take an upgrade exam to certify for Java SE 7.
JDK 1.6 introduced enhancements to collections like Deque and BlockingDeque. It added support for XML, web services, and annotations. New features included support for scripting languages via JSR 223, improved JDBC 4.0 support, and enhancements to AWT and Swing for application GUIs. The Java compiler APIs were also made accessible to programs.
The document summarizes new features introduced in Java 5 and Java 6. Java 5 introduced generics, autoboxing/unboxing, enhanced for loops, and annotations. Java 6 added support for XML processing and web services using annotations, the Rhino JavaScript engine, improved GUI APIs, and Java DB for database connectivity.
This document summarizes new features in Java 7, including underscores in numeric literals to improve readability, try-with-resource for automatic resource management, multi-catch exceptions, and various improvements to I/O, generics, and garbage collection. Key areas covered are numeric literals, collection initialization, try-with-resource blocks, multi-catch exceptions, final rethrow, strings in switch statements, generic instances, NIO2 file APIs, file change notifications, asynchronous I/O, URLClassLoader closing, JDBC row sets, varargs, the G1 garbage collector, and improved performance.
Java is moving faster and faster. A lot of features are not as known as they should be.
Let’s review together the old ones you missed.
Then show you the ones you never had time to look at in 9, 10, 11, 12 and 13.
And go crazy to check how it’s implemented under the hood (yes, there will be bytecode).
Whats New in Java 5, 6, & 7 (Webinar Presentation - June 2013)DevelopIntelligence
Kelby Zorgdrager from DevelopIntelligence explains the differences between the variations of Java and what's new in Java 7.
If you need help with Java training DevelopIntelligence and provide on-site training within two weeks. Customized and affordable for any organization.
Introduction to libre « fulltext » technologyRobert Viseur
The presentation will be based on my personal experience on SQLite, MySQL and Zend Search ; on workshops I’ve attended (PostgreSQL) and on tests conducted under my supervision (PostgreSQL, MySQL, Sphinx, Lucene, Xapian). It will cover an exhaustive overview of existing techniques, from the most basic to the more advanced, and will lead to a comparative table of the existing technology.
Lambdas and streams are key new features in Java 8. Lambdas allow blocks of code to be passed around as if they were objects. Streams provide an abstraction for processing collections of objects in a declarative way using lambdas. Optional is a new class that represents null-safe references and helps avoid null pointer exceptions. Checked exceptions can cause issues with lambdas, so helper methods are recommended to convert checked exceptions to unchecked exceptions.
The document discusses the new features and certification process for Java SE 7. It describes that the certification has been updated to require more advanced skills. There are now two certification levels: Oracle Certified Associate, Java SE 7 Programmer (OCA) and Oracle Certified Professional, Java SE 7 Programmer (OCP). The OCA exam covers basic Java topics in 90 multiple choice questions over 140 minutes. The OCP exam requires passing the OCA first and covers more advanced topics in 90 questions over 150 minutes. Developers with prior certifications can take an upgrade exam to certify for Java SE 7.
JDK 1.6 introduced enhancements to collections like Deque and BlockingDeque. It added support for XML, web services, and annotations. New features included support for scripting languages via JSR 223, improved JDBC 4.0 support, and enhancements to AWT and Swing for application GUIs. The Java compiler APIs were also made accessible to programs.
The document summarizes new features introduced in Java 5 and Java 6. Java 5 introduced generics, autoboxing/unboxing, enhanced for loops, and annotations. Java 6 added support for XML processing and web services using annotations, the Rhino JavaScript engine, improved GUI APIs, and Java DB for database connectivity.
This document summarizes new features in Java 7, including underscores in numeric literals to improve readability, try-with-resource for automatic resource management, multi-catch exceptions, and various improvements to I/O, generics, and garbage collection. Key areas covered are numeric literals, collection initialization, try-with-resource blocks, multi-catch exceptions, final rethrow, strings in switch statements, generic instances, NIO2 file APIs, file change notifications, asynchronous I/O, URLClassLoader closing, JDBC row sets, varargs, the G1 garbage collector, and improved performance.
Java is moving faster and faster. A lot of features are not as known as they should be.
Let’s review together the old ones you missed.
Then show you the ones you never had time to look at in 9, 10, 11, 12 and 13.
And go crazy to check how it’s implemented under the hood (yes, there will be bytecode).
Whats New in Java 5, 6, & 7 (Webinar Presentation - June 2013)DevelopIntelligence
Kelby Zorgdrager from DevelopIntelligence explains the differences between the variations of Java and what's new in Java 7.
If you need help with Java training DevelopIntelligence and provide on-site training within two weeks. Customized and affordable for any organization.
Introduction to libre « fulltext » technologyRobert Viseur
The presentation will be based on my personal experience on SQLite, MySQL and Zend Search ; on workshops I’ve attended (PostgreSQL) and on tests conducted under my supervision (PostgreSQL, MySQL, Sphinx, Lucene, Xapian). It will cover an exhaustive overview of existing techniques, from the most basic to the more advanced, and will lead to a comparative table of the existing technology.
Lambdas and streams are key new features in Java 8. Lambdas allow blocks of code to be passed around as if they were objects. Streams provide an abstraction for processing collections of objects in a declarative way using lambdas. Optional is a new class that represents null-safe references and helps avoid null pointer exceptions. Checked exceptions can cause issues with lambdas, so helper methods are recommended to convert checked exceptions to unchecked exceptions.
Core Java Programming Language (JSE) : Chapter X - I/O Fundamentals WebStackAcademy
This document provides an overview of input/output (I/O) fundamentals in Java, including using command-line arguments, system properties, streams, readers/writers, serialization, and more. It examines classes like Properties, InputStream, OutputStream, ObjectInputStream, ObjectOutputStream, and their relationships. Examples are given for reading/writing files and objects using streams, readers/writers, and serialization.
An Introduction to Scala - Blending OO and Functional ParadigmsMiles Sabin
Scala is a programming language that blends object-oriented and functional programming. It is designed to be compatible with Java and runs on the JVM. Scala has features like functions as first-class values, pattern matching, and immutable data structures. It aims to improve on Java syntax and provides tools like case classes and for comprehensions. Scala sees growing adoption in companies like Twitter and LinkedIn and future releases will continue to explore new type systems and features.
Solr Troubleshooting - Treemap Approach: Presented by Alexandre Rafolovitch, ...Lucidworks
The document discusses troubleshooting techniques for Solr, including using a "TreeMap" process of establishing boundaries, splitting the problem, identifying relevant parts, zooming in, and re-formulating boundaries in an iterative process until the problem is fixed. It outlines how to establish boundaries by defining the identity, location, timing, and magnitude of the problem. Examples are provided for indexing and searching processes in Solr.
The document provides an overview and introduction to TuProlog (2P), a Java-based Prolog system for pervasive intelligence. 2P allows Prolog programs to be integrated with Java applications and provides tools and libraries to extend its functionality. The key points covered include: 2P's design goals of minimality and bidirectional Java integration; how to use 2P from Java via its API; how to extend 2P by developing custom libraries; and examples of using the JavaLibrary to access Java classes and methods from Prolog.
This document provides an introduction to Apache Solr, an open-source enterprise search platform built on Apache Lucene. It discusses how Solr indexes content, processes search queries, and returns results with features like faceting, spellchecking, and scaling. The document also outlines how Solr works, how to configure and use it, and examples of large companies that employ Solr for search.
This document summarizes information about the Solr search engine. It discusses new features in Solr 1.4 like replication, improved faceting performance, and richer document indexing. It also covers performance improvements, the Lucene 2.9 update, deployment architectures, indexing strategies, searching performance, and various query parsers and other Solr components.
Here is one way to build a custom search component that automatically selects facets based on the results:
1. Create a class that extends SearchComponent and implements the prepare and process methods.
2. In prepare, analyze the query and use Lucene's term vectors or other analysis to determine which fields are likely to provide useful facets. Add these fields to the response builder.
3. In process, after the normal query processing, generate facet counts for the fields added in prepare. Add the facet counts to the response.
4. Register the component in solrconfig.xml and configure it to run after the query and facet components.
Now facets will be automatically selected without needing to specify them in the request.
Solr 4.0 dramatically improves scalability, performance, and flexibility. An overhauled Lucene underneath sports near real-time (NRT) capabilities allowing indexed documents to be rapidly visible and searchable. Lucene’s improvements also include pluggable scoring, much faster fuzzy and wildcard querying, and vastly improved memory usage. These Lucene improvements automatically make Solr much better, and Solr magnifies these advances with “SolrCloud.” SolrCloud enables highly available and fault tolerant clusters for large scale distributed indexing and searching. There are many other changes that will be surveyed as well. This talk will cover these improvements in detail, comparing and contrasting to previous versions of Solr.
This document provides an agenda and overview for a Spark workshop covering Spark basics and streaming. The agenda includes sections on Scala, Spark, Spark SQL, and Spark Streaming. It discusses Scala concepts like vals, vars, defs, classes, objects, and pattern matching. It also covers Spark RDDs, transformations, actions, sources, and the spark-shell. Finally, it briefly introduces Spark concepts like broadcast variables, accumulators, and spark-submit.
Production debugging is hard, and it’s getting harder. With architectures becoming more distributed and code more asynchronous and reactive, pinpointing and resolving errors that happen in production is no child’s game. This session covers some essential tools and more advanced techniques Scala developers can use to debug live applications and resolve errors quickly. It explores crucial techniques for distributed debugging - and some of the pitfalls that make resolution much harder, and can lead to downtime. The talk also touches on some little-known JVM tools and capabilities that give you super-deep visibility at high scale without making you restart it or attach debuggers.
Lucene powers the search capabilities of practically all library discovery platforms, by way of Solr, etc. The Lucene project evolves rapidly, and it's a full-time job to keep up with the ever improving features and scalability. This talk will distill and showcase the most relevant(!) advancements to date.
This is a talk I did for JavaOne 2009. The focus of the talk was memory management and system monitoring with freely available tools that are in the jdk or open source.
Java collections such as ArrayList and HashMap were discussed. Common problems with collections like concurrent modification exceptions were presented along with scenarios demonstrating check-then-act bugs. Immutable and persistent collections were described as alternatives that reduce bugs by restricting state changes. Tradeoffs between different collection implementations like memory usage and performance were examined.
The big language features for Java SE 8 are lambda expressions (a.k.a. closures) and default methods (a.k.a. virtual extension methods). Adding closures to the Java language opens up a host of new expressive opportunities for applications and libraries, but how are they implemented? You might assume that lambda expressions are simply a compact syntax for inner classes, but, in fact, the implementation of lambda expressions is substantially different and builds on the invokedynamic feature added in Java SE 7.
This document provides an introduction and overview of MATLAB. It discusses the main features and capabilities of MATLAB, including its strong linear algebra skills, interactive command line, scripting and programming abilities, graphical user interface, high quality graphs, and ability to run on various operating systems. It then provides instructions for getting started with MATLAB, including unpacking files, starting MATLAB, navigating directories, and running the first demo program. It also discusses key aspects of using MATLAB like the desktop environment, command window, help features, file types, scripts and functions, and setting the path.
JDBC (Java Database Connectivity) is an API that provides Java programs with the ability to connect to and interact with databases. It allows database-independent access to different database management systems (DBMS) using Java programming language. JDBC drivers are used to connect to databases and come in four types depending on how they interface with the database. The basic steps to use JDBC include registering a driver, connecting to the database, executing SQL statements, handling results, and closing the connection. Scrollable result sets and prepared statements are also introduced as advanced JDBC features.
The document provides an overview of some key classes and utilities available in the Darwino API framework. The Darwino APIs are designed to be portable across devices and provide lightweight wrappers to similar device APIs. The APIs aim to make common tasks easy while allowing developers to use more advanced features when needed. Some notable utilities covered include the Platform object for accessing services, plugins for extension mechanisms, JSON and XML processing libraries, HTTP client, task scheduling, logging, internationalization support, and application manifests.
This introduction to Clojure was given to the Utah Java Users Group Aug. 15. It's main focus was on Clojure's time model and how the design of Clojure separates (decomplects) many concepts which are all implemented onto of Objects in Java, and other OO languages. This is the abstract for the original talk:
Tony Hoare famously said "There are two ways of constructing a software design: One way is to make it so simple that there are obviously no deficiencies, and the other way is to make it so complicated that there are no obvious deficiencies. The first method is far more difficult." Clojure is a functional Lisp that targets, among other platforms, the JVM and strives to enable the former approach to building software.
In its pursuit of simplicity Clojure encourages the use of pure functions, sequence abstractions which allow for lazy and parallel processing of data, persistent (immutable) data structures, and a novel way of dealing with state as a succession of values. While these concepts may sound intimidating for those unfamiliar with functional programming, they are actually less complicated than many programming constructs that programmers use everyday.
This talk will cover these concepts and the motivation behind them. You will learn the basics of Clojure programming and will be given a taste of what developing an application in Clojure is like.
The document discusses the goals and activities of Java User Groups (JUGs). JUGs are volunteer organizations that provide knowledge sharing and networking opportunities for Java developers through meetings where they can get information, share resources, and socialize over food and drinks. The JUG Community website helps JUGs promote the worldwide Java community by sharing best practices for creating and running local JUGs. The specific JUG in Louvain-La-Neuve, Belgium is then outlined, including its website, contacts, and upcoming program events on Android and big data technologies.
Final Multigenre Project by Shanequa PerryShanequa Perry
This document is a multi-genre project by Shanequa Perry dedicated to five men who have impacted her life. It includes letters to her uncle, cousin, and father who passed away when she was three months old. It also includes a poem about her father and a reflection on meeting cousins from her father's side of the family for the first time. The men honored helped encourage Shanequa after her father's passing and stood in as father figures in her life. The project allows her to express gratitude for their support and share memories.
Core Java Programming Language (JSE) : Chapter X - I/O Fundamentals WebStackAcademy
This document provides an overview of input/output (I/O) fundamentals in Java, including using command-line arguments, system properties, streams, readers/writers, serialization, and more. It examines classes like Properties, InputStream, OutputStream, ObjectInputStream, ObjectOutputStream, and their relationships. Examples are given for reading/writing files and objects using streams, readers/writers, and serialization.
An Introduction to Scala - Blending OO and Functional ParadigmsMiles Sabin
Scala is a programming language that blends object-oriented and functional programming. It is designed to be compatible with Java and runs on the JVM. Scala has features like functions as first-class values, pattern matching, and immutable data structures. It aims to improve on Java syntax and provides tools like case classes and for comprehensions. Scala sees growing adoption in companies like Twitter and LinkedIn and future releases will continue to explore new type systems and features.
Solr Troubleshooting - Treemap Approach: Presented by Alexandre Rafolovitch, ...Lucidworks
The document discusses troubleshooting techniques for Solr, including using a "TreeMap" process of establishing boundaries, splitting the problem, identifying relevant parts, zooming in, and re-formulating boundaries in an iterative process until the problem is fixed. It outlines how to establish boundaries by defining the identity, location, timing, and magnitude of the problem. Examples are provided for indexing and searching processes in Solr.
The document provides an overview and introduction to TuProlog (2P), a Java-based Prolog system for pervasive intelligence. 2P allows Prolog programs to be integrated with Java applications and provides tools and libraries to extend its functionality. The key points covered include: 2P's design goals of minimality and bidirectional Java integration; how to use 2P from Java via its API; how to extend 2P by developing custom libraries; and examples of using the JavaLibrary to access Java classes and methods from Prolog.
This document provides an introduction to Apache Solr, an open-source enterprise search platform built on Apache Lucene. It discusses how Solr indexes content, processes search queries, and returns results with features like faceting, spellchecking, and scaling. The document also outlines how Solr works, how to configure and use it, and examples of large companies that employ Solr for search.
This document summarizes information about the Solr search engine. It discusses new features in Solr 1.4 like replication, improved faceting performance, and richer document indexing. It also covers performance improvements, the Lucene 2.9 update, deployment architectures, indexing strategies, searching performance, and various query parsers and other Solr components.
Here is one way to build a custom search component that automatically selects facets based on the results:
1. Create a class that extends SearchComponent and implements the prepare and process methods.
2. In prepare, analyze the query and use Lucene's term vectors or other analysis to determine which fields are likely to provide useful facets. Add these fields to the response builder.
3. In process, after the normal query processing, generate facet counts for the fields added in prepare. Add the facet counts to the response.
4. Register the component in solrconfig.xml and configure it to run after the query and facet components.
Now facets will be automatically selected without needing to specify them in the request.
Solr 4.0 dramatically improves scalability, performance, and flexibility. An overhauled Lucene underneath sports near real-time (NRT) capabilities allowing indexed documents to be rapidly visible and searchable. Lucene’s improvements also include pluggable scoring, much faster fuzzy and wildcard querying, and vastly improved memory usage. These Lucene improvements automatically make Solr much better, and Solr magnifies these advances with “SolrCloud.” SolrCloud enables highly available and fault tolerant clusters for large scale distributed indexing and searching. There are many other changes that will be surveyed as well. This talk will cover these improvements in detail, comparing and contrasting to previous versions of Solr.
This document provides an agenda and overview for a Spark workshop covering Spark basics and streaming. The agenda includes sections on Scala, Spark, Spark SQL, and Spark Streaming. It discusses Scala concepts like vals, vars, defs, classes, objects, and pattern matching. It also covers Spark RDDs, transformations, actions, sources, and the spark-shell. Finally, it briefly introduces Spark concepts like broadcast variables, accumulators, and spark-submit.
Production debugging is hard, and it’s getting harder. With architectures becoming more distributed and code more asynchronous and reactive, pinpointing and resolving errors that happen in production is no child’s game. This session covers some essential tools and more advanced techniques Scala developers can use to debug live applications and resolve errors quickly. It explores crucial techniques for distributed debugging - and some of the pitfalls that make resolution much harder, and can lead to downtime. The talk also touches on some little-known JVM tools and capabilities that give you super-deep visibility at high scale without making you restart it or attach debuggers.
Lucene powers the search capabilities of practically all library discovery platforms, by way of Solr, etc. The Lucene project evolves rapidly, and it's a full-time job to keep up with the ever improving features and scalability. This talk will distill and showcase the most relevant(!) advancements to date.
This is a talk I did for JavaOne 2009. The focus of the talk was memory management and system monitoring with freely available tools that are in the jdk or open source.
Java collections such as ArrayList and HashMap were discussed. Common problems with collections like concurrent modification exceptions were presented along with scenarios demonstrating check-then-act bugs. Immutable and persistent collections were described as alternatives that reduce bugs by restricting state changes. Tradeoffs between different collection implementations like memory usage and performance were examined.
The big language features for Java SE 8 are lambda expressions (a.k.a. closures) and default methods (a.k.a. virtual extension methods). Adding closures to the Java language opens up a host of new expressive opportunities for applications and libraries, but how are they implemented? You might assume that lambda expressions are simply a compact syntax for inner classes, but, in fact, the implementation of lambda expressions is substantially different and builds on the invokedynamic feature added in Java SE 7.
This document provides an introduction and overview of MATLAB. It discusses the main features and capabilities of MATLAB, including its strong linear algebra skills, interactive command line, scripting and programming abilities, graphical user interface, high quality graphs, and ability to run on various operating systems. It then provides instructions for getting started with MATLAB, including unpacking files, starting MATLAB, navigating directories, and running the first demo program. It also discusses key aspects of using MATLAB like the desktop environment, command window, help features, file types, scripts and functions, and setting the path.
JDBC (Java Database Connectivity) is an API that provides Java programs with the ability to connect to and interact with databases. It allows database-independent access to different database management systems (DBMS) using Java programming language. JDBC drivers are used to connect to databases and come in four types depending on how they interface with the database. The basic steps to use JDBC include registering a driver, connecting to the database, executing SQL statements, handling results, and closing the connection. Scrollable result sets and prepared statements are also introduced as advanced JDBC features.
The document provides an overview of some key classes and utilities available in the Darwino API framework. The Darwino APIs are designed to be portable across devices and provide lightweight wrappers to similar device APIs. The APIs aim to make common tasks easy while allowing developers to use more advanced features when needed. Some notable utilities covered include the Platform object for accessing services, plugins for extension mechanisms, JSON and XML processing libraries, HTTP client, task scheduling, logging, internationalization support, and application manifests.
This introduction to Clojure was given to the Utah Java Users Group Aug. 15. It's main focus was on Clojure's time model and how the design of Clojure separates (decomplects) many concepts which are all implemented onto of Objects in Java, and other OO languages. This is the abstract for the original talk:
Tony Hoare famously said "There are two ways of constructing a software design: One way is to make it so simple that there are obviously no deficiencies, and the other way is to make it so complicated that there are no obvious deficiencies. The first method is far more difficult." Clojure is a functional Lisp that targets, among other platforms, the JVM and strives to enable the former approach to building software.
In its pursuit of simplicity Clojure encourages the use of pure functions, sequence abstractions which allow for lazy and parallel processing of data, persistent (immutable) data structures, and a novel way of dealing with state as a succession of values. While these concepts may sound intimidating for those unfamiliar with functional programming, they are actually less complicated than many programming constructs that programmers use everyday.
This talk will cover these concepts and the motivation behind them. You will learn the basics of Clojure programming and will be given a taste of what developing an application in Clojure is like.
The document discusses the goals and activities of Java User Groups (JUGs). JUGs are volunteer organizations that provide knowledge sharing and networking opportunities for Java developers through meetings where they can get information, share resources, and socialize over food and drinks. The JUG Community website helps JUGs promote the worldwide Java community by sharing best practices for creating and running local JUGs. The specific JUG in Louvain-La-Neuve, Belgium is then outlined, including its website, contacts, and upcoming program events on Android and big data technologies.
Final Multigenre Project by Shanequa PerryShanequa Perry
This document is a multi-genre project by Shanequa Perry dedicated to five men who have impacted her life. It includes letters to her uncle, cousin, and father who passed away when she was three months old. It also includes a poem about her father and a reflection on meeting cousins from her father's side of the family for the first time. The men honored helped encourage Shanequa after her father's passing and stood in as father figures in her life. The project allows her to express gratitude for their support and share memories.
Las células procariotas tienen tres estructuras principales: gránulos de reserva que almacenan energía, una pared celular rígida que protege el contenido celular, y en algunas bacterias una cápsula externa. Los gránulos de reserva proporcionan energía para los procesos celulares como la respiración. La pared celular está compuesta de diferentes materiales como celulosa en plantas y peptidoglicano en bacterias. La cápsula bacteriana está hecha de polisacáridos y glicoprote
The document discusses the limitations of HTTP for building interactive real-time web applications and introduces WebSockets as an alternative. It explains that WebSockets allow for asynchronous, bidirectional communication over a single TCP connection, unlike HTTP which is stateless and half-duplex. The document also outlines the Java API for WebSockets (JSR 356) and provides examples of how WebSockets can be used for applications like chat, games, and social networking.
This multi-genre project by Shanequa Perry is dedicated to five influential men in her life who helped support her after her father passed away when she was an infant. The project includes letters to her uncle, cousin, and grandfather expressing gratitude for their encouragement and role in her life. It also includes a poem about missing her father and meeting her cousin from her father's side of the family for the first time. The overall project pays tribute to the father figures who helped raise Perry and stand in the gap after losing her father at a young age.
The document discusses the author's Twitter professional learning network (PLN). It describes several Twitter accounts the author follows for educational resources - @joe_bower, a teacher sharing articles and ideas; @WeAreTeachers with classroom tips and lessons; and @2Learn_ca, a non-profit providing professional development for teachers. The author notes their PLN has grown significantly and they plan to continue developing it by retweeting interesting content, replying to authors, and following those who post valuable information.
This multi-genre project by Shanequa Perry is dedicated to five important men in her life who have supported her after her father passed away when she was three months old. The project includes letters to her uncle, cousin, and grandfather expressing gratitude for their encouragement and role in her life. It also includes a poem about missing her father and a narrative describing meeting cousins from her father's side of the family for the first time. The reflections provide context for each piece and how the men helped fill the void of not having a father figure growing up. The project pays tribute to these five people who have been by her side.
This document describes the author's development of understanding T-PACK, a framework for 21st century teaching, over the course of a university class. Initially, the author created a Venn diagram showing strong content knowledge but little technology knowledge or T-PACK understanding. After learning about educational technologies and theories, the author reassessed their knowledge, showing growth especially in technology knowledge and T-PACK. While more remains to be learned, the course provided a foundation for integrating technology, teaching, and content.
Study on Implementation of LED Lights for Industrial Lighting to optimize pow...Rahmatul Alam Ivan
World requires optimization in every sectors of energy utilization to decrease natural resource consumption in an industrial sector and other end user sectors. For an efficient and optimized industrial power management system, optimized lighting power sector will be a key fact. This comprehensive and contemporary study shows a path towards optimization of lighting power utilizing LEDs and some optimized proposals for the industries. It will make an impact over traditional Lighting power consumption. It will help to compare the current lighting standards utilized in an industry.
This document provides an overview of HTTP and Java networking. It begins with an introduction to HTTP, describing how HTTP has become the dominant protocol for the internet and powering major websites and services. It then discusses the internet stack and TCP/IP model. The remainder of the document focuses on Java and networking, explaining how Java can be used to implement clients and servers using sockets and APIs like HTTPURLConnection. Code examples are provided for a basic echo client/server and web crawler to demonstrate Java networking concepts.
This document provides an outline for a course on fundamental Java programming. The outline includes 8 modules that cover topics like introduction to Java, basic programming, object-oriented programming, file input/output, networking, and threading. The document also provides background information on Java history, principles, platforms, and the HotSpot Java Virtual Machine. It discusses Java's development from 1995 to present and goals of being simple, secure, portable, high-performance and dynamic.
Java 7 was released in July 2011 with improvements to performance, concurrency, and memory management. Plans for Java 8 include modularity, lambda expressions, and date/time APIs. The Java Community Process is also being improved to increase transparency, participation, and agility through JSR 348. Overall, the Java ecosystem continues to grow with new languages on the JVM and an active community.
This document provides a summary of modern Java features introduced between Java 1.1 and Java 8. Some key updates include lambda expressions and method references in Java 8 that allow for more concise functional-style programming. Java 8 also introduced default methods in interfaces, streams for functional-style collections operations, and Date-Time API improvements. Other additions were parallel processing support, CompletableFuture for asynchronous non-blocking code, and Nashorn JavaScript integration. Java 9 will focus on a new module system.
Presentation on the new features introduced in JDK 8, presented on the 26.02.2013 in Sofia University in front of students and members of the Bulgarian java user group.
This document summarizes the JavaOne 2010 conference, including:
- The Java roadmap which outlined projects like Project Coin, Lambda, and Jigsaw for Java 7 and 8.
- Case studies presented from companies like Mint.com and eBay discussing their Java architectures.
- Topics from technical sessions including the Spring framework, NoSQL databases, functional programming in Java, and testing approaches.
The document discusses changes in Java versions from Java 8 to Java 14. It covers major new features and improvements in each version including modules in Java 9, switch expressions in Java 12, and records in Java 14. It also discusses real world challenges with upgrading such as compatibility, multiple JVMs, library updates, and IDE support.
Java 8 introduced new features like default methods, lambda expressions, and stream API. Default methods allow interfaces to provide implementation without breaking existing classes. Lambda expressions enable functional programming by allowing blocks of code to be treated as values. The stream API allows functional-style processing of data such as filtering, mapping, and reducing collections. Some limitations of streams include that they are not reusable, can have worse performance than loops, and are less familiar to procedural programmers.
Using existing language skillsets to create large-scale, cloud-based analyticsMicrosoft Tech Community
This document discusses how to use Python for analytics with Azure Data Lake. Currently, Python can be used via an extension library to run Python code in a reducer context. Going forward, Python will be able to run natively on vertices, allowing Python code to be used to build extractors, processors, outputters, reducers, appliers, and combiners. This will enable fully leveraging Python for analytics tasks like transforming data, creating new columns, and deleting columns.
Java 8 includes new features such as lambda expressions for functional programming, streams API for bulk data operations, date and time API improvements, and miscellaneous enhancements. It also removes some deprecated features and improves performance.
A presentation at Twitter's official developer conference, Chirp, about why we use the Scala programming language and how we build services in it. Provides a tour of a number of libraries and tools, both developed at Twitter and otherwise.
Java 9 is just around the corner. In this session, we'll describe the new modularization support (Jigsaw), new JDK tools, enhanced APIs and many performance improvements that were added to the new version.
The Typesafe Stack includes Scala, Akka, and Play frameworks for building scalable applications. Scala is a statically typed, functional programming language that runs on the JVM and interoperates with Java. Akka is an event-driven middleware for building distributed, fault-tolerant applications using actors. Play is a web framework that enables fast development of RESTful APIs and web applications using Scala templates. Together, these frameworks provide tools for building scalable, distributed systems with easy development.
The document discusses Java SE 7 adoption rates over time, the Java SE 7 and 8 roadmap, new features in Java SE 8 like lambda expressions and streams, and the Java Mission Control toolset. It also summarizes Java FX, Java EE 7 themes, and the future of Java including Project Jigsaw.
This document provides an overview of Module 01 from a course on Java Enterprise Edition (JEE) and web application development. It covers the history and evolution of Java, the Java platform editions, key Java principles, and an introduction to the HotSpot Java Virtual Machine (JVM).
Apache Big Data EU 2016: Building Streaming Applications with Apache ApexApache Apex
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4. History of Java SE (simplified)
http://en.wikipedia.org/wiki/Java_version_history
• SE vs EE
• J2 SE 1.4 2002 (dark ages but still a lot in the wild)
• J2 SE 5.0 2004 (ancient but major enhancements)
• Java SE 6 2006 (not major enhancements)
• Java SE 7 2011 (yes, its becoming sexy)
• Java SE 8 2014 (huge changes … Oh My God)
† ( No supported anymore by Oracle)
5. J2 SE 1.4 (2002)
• assert
• regular expressions
• exception chaining
• Internet Protocol version 6 (IPv6) support
• non-blocking IO (named New Input/Output, NIO)
• logging API
• image I/O API for reading and writing images in formats like JPEG
and PNG
• integrated XML parser and XSLT processor (JAXP)
• integrated security and cryptography extensions (JCE, JSSE, JAAS)
• Java Web Start
• Preferences API (java.util.prefs)
6. J2 SE 1.5 (2004)
• Generics
• annotations; allows language constructs such as classes and methods to be tagged with additional
data, which can then be processed by metadata-aware utilities. (Specified by JSR 175.)
• Autoboxing/unboxing: Automatic conversions between primitive types (such as int) and primitive
wrapper classes (such as Integer). (Specified by JSR 201.)
• Enumerations: The enum keyword creates a typesafe, ordered list of values (such as Day.MONDAY,
Day.TUESDAY, etc.). Previously this could only be achieved by non-typesafe constant integers or
manually constructed classes (typesafe enum pattern). (Specified by JSR 201.)
• Varargs: The last parameter of a method can now be declared using a type name followed by three
dots (e.g. void drawtext(String... lines)). In the calling code any number of parameters of that type
can be used and they are then placed in an array to be passed to the method, or alternatively the
calling code can pass an array of that type.
• Enhanced for each loop: The for loop syntax is extended with special syntax for iterating over each
member of either an array or any Iterable, such as the standard Collection classes. (Specified by JSR
201.)
• Fix the previously broken semantics of the Java Memory Model, which defines how threads
interact through memory.
• Static imports
7. Java SE 6 (2006)
• Support for older Win9x versions dropped
• Scripting Language Support Generic API for tight integration with scripting
languages, and built-in Mozilla JavaScript Rhino integration
• Dramatic performance improvements for the core platform and Swing.
• Improved Web Service support through JAX-WS
• JDBC 4.0 support.
• Java Compiler API : an API allowing a Java program to select and invoke a
Java Compiler programmatically.
• Upgrade of JAXB to version 2.0: Including integration of a StAX parser.
Support for pluggable annotations
• Many GUI improvements, such as integration of SwingWorker in the API,
table sorting and filtering, and true Swing double-buffering (eliminating
the gray-area effect). JVM improvements include: synchronization and
compiler performance optimizations, new algorithms and upgrades to
existing garbage collection algorithms, and application start-up
performance.[27
8. Java SE 7
• JVM support for dynamic languages Scala, …
• Compressed 64-bit pointers(available in Java 6 with -XX:+UseCompressedOops)
• Strings in switch
• Automatic resource management in try-statement
• Improved type inference for generic instance creation, aka the diamond operator <>
• Simplified varargs method declaration
• Binary integer literals
• Allowing underscores in numeric literals
• Catching multiple exception types and rethrowing exceptions with improved type checking
• Concurrency utilities under JSR 166
• NIO.2 New file I/O library to enhance platform independence and add support for metadata and
symbolic links.
• Timsort is used to sort collections and arrays of objects instead of merge sort
• Library-level support for elliptic curve cryptography algorithms
• An XRender pipeline for Java 2D, which improves handling of features specific to modern GPUs
• New platform APIs for the graphics features originally implemented in version 6u10 as
unsupported APIs
• Enhanced library-level support for new network protocols, including SCTP and Sockets Direct
Protocol
• Upstream updates to XML and Unicode
9. Java 8 (2014)
• lambda expressions (unofficially closures)
• default methods (virtual extension methods) which make multiple inheritance possible in Java.
There was an ongoing debate in the Java community on whether to add support for lambda
expressions.[
Sun later declared that lambda expressions would be included in Java and asked for
community input to refine the feature. Supporting lambda expressions also allows to perform
functional-style operations on streams of elements, such as MapReduce-inspired transformations
on collections. Default methods allow an author of API to add new methods to an interface without
breaking the old code using it. It also provides a way to use multiple inheritance, multiple
inheritance of implementation more precisely.
• JSR 223, JEP 174: Project Nashorn, a JavaScript runtime which allows developers to embed
JavaScript code within applications
• Annotation on Java Types
• Unsigned Integer Arithmetic
• JSR 337, JEP 120: Repeating annotations
• JSR 310, JEP 150: Date and Time API
• JEP 178: Statically-linked JNI libraries
• JEP 153: Launch JavaFX applications (direct launching of JavaFX application JARs)
• JEP 122: Remove the permanent generation
• Default methods (for API dev)
• Functional interfaces (new ones)
10. What is a Stream ?
sequence of elements from a source that
supports data processing operations
Ex: stream of bytes 4,5,9,0, ….
11. Why Streams ?
WHAT vs HOW
• Like SQL … concentrate on the what, not the
how = working at higher level …
Ex: SELECT name from USERS;
vs. C program (main, fopen(), while())
• Internal loop vs external
12. Java 8 – Streams
(java.util.stream)
• Old way (Java 7): Collections
• Modern way (Java 8): Collections + Streams
– Collections store & access data
– Streams process data (filter, group, …) in 1 or
multicore
14. Stream creations
• From collections: List & Set new methods:
stream()
parallelStream()
• From file, from Arrays, …
• For primitive data types int, long, double
– IntStream, LongStream, DoubleStream
– sum() and average()
– mapToInt()and mapToObj()
15. Stream operations
• Intermediate or terminal
– Intermediate: return Streams like LEGO or
UNIX commands: they can be combined !
ex: filter, map, sorted
– Terminal: don't return a Stream (void or type)
ex: forEach
Example
Stream.iterate(0, n -> n + 3).limit(10).forEach(System.out::println);
• Complete javadoc
http://docs.oracle.com/javase/8/docs/api/java/util/stream/Stream.html
17. Part 2 - Practice
Requirements
– Java 8 JDK, not the JRE LOL
– IDE (Eclipse, NetBeans, …)
Sources
– http://winterbe.com/posts/2014/07/31/java8-stream-tutorial-examples/
– Java 8 In Action (Manning Editions)
22. Reusing Streams
• Java 8 streams cannot be reused (as soon as
you call any terminal operation the stream is
closed)
Stream<String> stream = Stream.of("d2", "a2", "b1", "b3", "c")
.filter(s -> s.startsWith("a"));
stream.anyMatch(s -> true); // ok
stream.noneMatch(s -> true); // exception
• To overcome this limitation we have to to create a new stream chain for
every terminal operation we want to execute, e.g. we could create a
stream supplier to construct a new stream with all intermediate
operations already set up:
24. collect()
• Terminal operation expecting a Collector
(Stream Colletion or other)
• Collector http://docs.oracle.com/javase/8/docs/api/java/util/stream/Collector.html
– Supplier, Accumulator, Combinern, Finisher
• Collectors http://docs.oracle.com/javase/8/docs/api/java/util/stream/Collectors.html
static <T,K,U> Collector<T,?,Map<K,U>> toMap(Function<? super T,?
extends K> keyMapper, Function<? super T,? extends U>
valueMapper)
Returns a Collector that accumulates elements into a Map whose keys and
values are the result of applying the provided mapping functions to the
input elements.