Presentation provides introduction and detailed explanation of the Java 8 Lambda and Streams. Lambda covers with Method references, default methods and Streams covers with stream operations,types of streams, collectors. Also streams are elaborated with parallel streams and benchmarking comparison of sequential and parallel streams.
Additional slides are covered with Optional, Splitators, certain projects based on lambda and streams
Java is Object Oriented Programming. Java 8 is the latest version of the Java which is used by many companies for the development in many areas. Mobile, Web, Standalone applications.
Presentation provides introduction and detailed explanation of the Java 8 Lambda and Streams. Lambda covers with Method references, default methods and Streams covers with stream operations,types of streams, collectors. Also streams are elaborated with parallel streams and benchmarking comparison of sequential and parallel streams.
Additional slides are covered with Optional, Splitators, certain projects based on lambda and streams
Java is Object Oriented Programming. Java 8 is the latest version of the Java which is used by many companies for the development in many areas. Mobile, Web, Standalone applications.
Java 8 is coming soon. In this presentation I have outlined the major Java 8 features. You get information about interface improvements, functional interfaces, method references, lambdas, java.util.function, java.util.stream
Functional Programming in Java 8 - Exploiting LambdasGanesh Samarthyam
The programming world is moving towards functional programming. All the major and popular programming languages (including Java, C++, C#, Swift, and Python) support functional programming. Functional programming languages such as Clojure, Scala, and F# are on the rise. This talk introduces functional programming to those who are new to this paradigm using lambda functions in Java 8. The talk will cover syntax and semantics of lambda functions, moving from external iteration to internal iteration, and how lambda functions can result in shorter and more readable code. If you are new to functional programming and want productivity gains from using Java’s lambda functions, this talk is certainly for you.
Start programming in a more functional style in Java. This is the second in a two part series on lambdas and streams in Java 8 presented at the JoziJug.
This presentaion provides and overview of the new features of Java 8, namely default methods, functional interfaces, lambdas, method references, streams and Optional vs NullPointerException.
This presentation by Arkadii Tetelman (Lead Software Engineer, GlobalLogic) was delivered at Java.io 3.0 conference in Kharkiv on March 22, 2016.
Historically concept of Actors has been derived from Erlang and is being used as a Threading model in Scala and AKka.
We can think Actors like two persons who do not talk to each other but communicate via a mailbox
Functional Thinking - Programming with Lambdas in Java 8Ganesh Samarthyam
Functional programming is on the rise. Almost all major and mainstream languages support functional programming features, including C++, Java, Swift, and Python, and Visual Basic. With Java 8’s lambda functions, Java now supports functional programming. Moving to functional programming can result in significantly better code and productivity gains. However, it requires a paradigm shift: you need to move away from imperative and object-oriented thinking to start thinking functionally. That’s what this workshop will help you achieve: it will help you make your shift towards functional programming. The workshop will introduce lambda functions in Java with examples from Java library itself. Presented in OSI Days 2015 workshop - http://osidays.com/osidays/shifting-to-functional-programming-lambdas-for-java-developers/
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.
Java 8 is coming soon. In this presentation I have outlined the major Java 8 features. You get information about interface improvements, functional interfaces, method references, lambdas, java.util.function, java.util.stream
Functional Programming in Java 8 - Exploiting LambdasGanesh Samarthyam
The programming world is moving towards functional programming. All the major and popular programming languages (including Java, C++, C#, Swift, and Python) support functional programming. Functional programming languages such as Clojure, Scala, and F# are on the rise. This talk introduces functional programming to those who are new to this paradigm using lambda functions in Java 8. The talk will cover syntax and semantics of lambda functions, moving from external iteration to internal iteration, and how lambda functions can result in shorter and more readable code. If you are new to functional programming and want productivity gains from using Java’s lambda functions, this talk is certainly for you.
Start programming in a more functional style in Java. This is the second in a two part series on lambdas and streams in Java 8 presented at the JoziJug.
This presentaion provides and overview of the new features of Java 8, namely default methods, functional interfaces, lambdas, method references, streams and Optional vs NullPointerException.
This presentation by Arkadii Tetelman (Lead Software Engineer, GlobalLogic) was delivered at Java.io 3.0 conference in Kharkiv on March 22, 2016.
Historically concept of Actors has been derived from Erlang and is being used as a Threading model in Scala and AKka.
We can think Actors like two persons who do not talk to each other but communicate via a mailbox
Functional Thinking - Programming with Lambdas in Java 8Ganesh Samarthyam
Functional programming is on the rise. Almost all major and mainstream languages support functional programming features, including C++, Java, Swift, and Python, and Visual Basic. With Java 8’s lambda functions, Java now supports functional programming. Moving to functional programming can result in significantly better code and productivity gains. However, it requires a paradigm shift: you need to move away from imperative and object-oriented thinking to start thinking functionally. That’s what this workshop will help you achieve: it will help you make your shift towards functional programming. The workshop will introduce lambda functions in Java with examples from Java library itself. Presented in OSI Days 2015 workshop - http://osidays.com/osidays/shifting-to-functional-programming-lambdas-for-java-developers/
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.
In Java 8, the java.util.function has numerous built-in interfaces. Other packages in the Java library (notably java.util.stream package) make use of the interfaces defined in this package. Java 8 developers should be familiar with using key interfaces provided in this package. This presentation provides an overview of four key functional interfaces (Consumer, Supplier, Function, and Predicate) provided in this package.
Do you want to learn functional programming in Java using lambda expressions introduced in Java 8? Do you want to explore the foundational concepts to explore powerful stream API? This presentation provides an overview of lambda functions introduced in Java 8 through examples. Topics covered: What is functional programming, creating lambda expressions, functional interfaces, built-in functional interfaces, and method references.
Make sure you have JDK 8 installed for trying out the programs as you go through the self-contained programming examples.
A brief historical survey of how programming languages have evolved over the decades. We revisit several milestones along the way, reminding ourselves of a few of the missed opportunities. We examine the broad families into which programming languages fall -- an informal phylogenetic tree. We try to recognize the convergence of features among several mainstream languages. Finally, we discuss the current state of affairs in the world of programming languages.
From self-driving cars to Siri and Watson, applications of artificial intelligence and machine learning are all around us. Broadly speaking, any problem which a computer has to learn to solve using only data about the problem domain comes under the purview of machine learning, spam filters for instance. Understanding the how and why of these fascinating technologies and the impact they will have on our society is critical to utilizing them in ways beneficial to all of humanity.
Here we describe how to "think" mapreduce not just "code" mapreduce. We solve some interesting problems using mapreduce (e.g. how to compute similarity between all pair of documents on the web, how to do k-means clustering using map-reduce, and how to find cliques in a graph using map-reduce). These solutions are simple, elegant, and open up new ways for people to actually use mapreduce more than just simple number crunching.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
2. INTERFACES IN JAVA 8
• In JAVA 8, the interface body can contain
• Abstract methods
• Static methods
• Default methods
• Example
public interface SampleIface {
public void process();
public static void print(){
System.out.println("Static Method In Interface");
}
public default void apply(){
System.out.println("Default Metod In Interface");
}
}
3. FUNCTIONAL INTERFACE
• java.lang.Runnable, java.awt.event.ActionListener,
java.util.Comparator, java.util.concurrent.Callable … etc ;
• There is some common feature among the stated interfaces and that
feature is they have only one method declared in their interface definition
• These interfaces are called Single Abstract Method interfaces (SAM
Interfaces)
• With Java 8 the same concept of SAM interfaces is recreated and are called
Functional interfaces
• There’s an annotation introduced- @FunctionalInterface which can be
used for compiler level errors when the interface you have annotated is not
a valid Functional Interface.
5. ANONYMOUS INNER CLASSES
• An interface that contains only one method, then the syntax of anonymous classes
may seem unwieldy and unclear.
• We're usually trying to pass functionality as an argument to another method, such as
what action should be taken when someone clicks a button.
okButton.addActionListener(new ActionListener() {
@Override
public void actionPerformed(ActionEvent e) {
System.out.println("OK Button Clicked");
}
});
6. LAMBDA
• Lambda expressions enable us to treat functionality as method argument, or
code as data
• Lambda expressions let us express instances of single-method classes more
compactly.
• A lambda expression is composed of three parts.
Argument List Arrow Token Body
(int x, int y) -> x + y
11. METHOD REFERENCES
• Sometimes a lambda expression does nothing but call an existing method
• In those cases, it's often clearer to refer to the existing method by name
• Method references enable you to do this; they are compact, easy-to-read
lambda expressions for methods that already have a name.
• Different kinds of method references:
Kind Example
Reference to a static method ContainingClass::staticMethodName
Reference to an instance method of a particular object containingObject::instanceMethodName
Reference to a constructor ClassName::new
12. REFERENCE TO A STATIC METHOD
public class Person {
private String firstName;
private String lastName;
private Calendar birthday;
//GETTERS & SETTERS
public static int compareByAge(Person a, Person b) {
return a.getBirthday().compareTo(b.getBirthday());
}
}
Collections.sort(personList, (p1,p2) -> Person.compareByAge(p1, p2));
Lambda expression
Equivalent Method Reference
Collections.sort(personList, Person::compareByAge);
13. REFERENCE TO AN INSTANCE METHOD
public class ComparisonProvider {
public int compareByName(Person a, Person b) {
return a.getFirstName().compareTo(b.getFirstName());
}
public int compareByAge(Person a, Person b) {
return a.getBirthday().compareTo(b.getBirthday());
}
}
ComparisonProvider comparisonProvider = new ComparisonProvider();
Collections.sort(personList, (p1,p2) -> comparisonProvider.compareByName(p1, p2));
Lambda expression
Collections.sort(personList, comparisonProvider::compareByName);
Equivalent Method Reference
14. REFERENCE TO A CONSTRUCTOR
public static void transfer(Map<String, String> source,
Supplier<Map<String, String>> mapSupplier){
// code to transfer
}
Anonymous Inner Class
transfer(src, new Supplier<Map<String, String>>() {
@Override
public Map<String, String> get() {
return new HashMap<>();
}
});
Lambda expression
transfer(src, () -> new HashMap<>());
Equivalent Method Reference
transfer(src, HashMap::new);
15. AGGREGATE OPERATIONS IN
COLLECTIONS
• Streams
• A stream is a sequence of elements. Unlike a collection, it is not a data structure
that stores elements.
• Pipelines
• A pipeline is a sequence of aggregate operations.
• PIPELINE contains the following
• A Source
• Zero or more intermediate operations
• A terminal operation
16. EXAMPLE
List<Employee> employeeList = new ArrayList<>();
//Add elements into employee list.
employeeList
.stream()
.filter(employee -> employee.getGender() == Person.Sex.FEMALE)
.forEach(employee -> System.out.println(employee));
int totalAge = employeeList
.stream()
.mapToInt(Person::getAge)
.sum();
double average = employeeList
.stream()
.filter(p -> p.getGender() == Person.Sex.MALE)
.mapToInt(Person::getAge)
.average()
.getAsDouble();