Slides from my GIDS 2019 presentation - Evolving with Java - How to remain relevant and effective. In this presentation, I share examples of evolving with Java to overcome the pain points.
Lambdas, method reference and streams explained.
For a better fonts quality, download the slides or go to GDrive (http://goo.gl/YlYqTm)
program list:
WAP program to show constructor overloading using static member.
WAP to implement multilevel inheritance and method overriding.
WAP to implement interface class and show use of package.
WAP to implement multilevel exception handling and create your own exception.
WAP to implement 3 threads such that 1st sleeps for 200ms, 2nd for 400ms and 3rd for 600ms.
WAP to create applet of moving banner.
WAP to make a simple calculator.
Build a client server chat application.
Is java8 a true functional programming languageSQLI
This document discusses whether Java 8 can be considered a true functional programming language. It begins with an overview of programming paradigms and compares the imperative and functional paradigms. It then outlines key aspects of functional programming including immutability, recursion, functions as first-class citizens, higher-order functions, and laziness. Code examples in Java demonstrate these concepts. The document concludes that while Java 8 incorporates some functional programming features, it does not fully embrace all aspects of functional programming.
This document discusses whether Java 8 can be considered a true functional programming language. It begins with an overview of programming paradigms and compares the imperative and functional paradigms. It then outlines key aspects of functional programming including immutability, recursion, functions as first-class citizens, higher-order functions, and laziness. Code examples in Java demonstrate these concepts. The document concludes that while Java 8 incorporates some functional programming features, it does not fully embrace all aspects of functional programming.
Indexing and Query Optimizer (Aaron Staple)MongoSF
This document discusses MongoDB indexing and query optimization. It defines what indexes are, how they are stored and used to improve query performance. It provides examples of different types of queries and whether they can utilize indexes, including compound, geospatial and regular expression indexes. It also covers index creation, maintenance and limitations.
The document discusses the C programming language and provides examples of C code. It introduces C programming concepts like data types, variables, input/output functions, operators, conditional statements, loops, functions, arrays and strings. It then provides examples of C code to calculate addition, percentages, student averages, and project budgets to demonstrate applying these concepts.
The Ring programming language version 1.5.1 book - Part 75 of 180Mahmoud Samir Fayed
The document describes the Trace library in Ring which provides functions for tracing code execution. It defines trace events and data and functions like TraceLib_AllEvents that prints trace information and TraceLib_Debugger that enables breaking at errors for debugging. The library allows setting breakpoints and provides an interactive debugger command line for inspecting variables and executing code while debugging.
Java supports generics as of version 1.5 to allow type-safe operations on parameterized types like List<String>. Generics eliminate the need for explicit casting when adding and retrieving elements. Wildcard types like List<?> provide flexibility but are more limited than specific types. Generic methods allow algorithms to operate on types in a generic way through type parameters.
This document contains source code for several Java programs that demonstrate concepts related to networking and URLs. The programs cover topics like retrieving a URL, getting URL information, working with InetAddress, demonstrating parts of a URL, and connectionless and connection-oriented communication between a server and client using UDP and TCP sockets. The code examples are accompanied by expected output.
The document contains code for 9 Java programming practical assignments. The first practical accepts coefficients for a quadratic equation, calculates the roots and outputs the results. The second accepts two matrices as input and calculates their addition. The third sorts an array of strings in ascending order. The fourth creates an Animal interface and classes that implement it to demonstrate polymorphism. The remaining practicals demonstrate inheritance, exceptions, GUI programming using Swing components, and the List interface.
This presentation focuses on optimization of queries in MySQL from developer’s perspective. Developers should care about the performance of the application, which includes optimizing SQL queries. It shows the execution plan in MySQL and explain its different formats - tabular, TREE and JSON/visual explain plans. Optimizer features like optimizer hints and histograms as well as newer features like HASH joins, TREE explain plan and EXPLAIN ANALYZE from latest releases are covered. Some real examples of slow queries are included and their optimization explained.
The Ring programming language version 1.8 book - Part 37 of 202Mahmoud Samir Fayed
The document discusses various functions in Ring for reflection and meta-programming. It describes functions like locals(), globals(), functions(), cfunctions(), islocal(), isglobal(), isfunction(), iscfunction(), packages(), and others that provide information about variables, functions, packages defined in the runtime environment. These functions allow inspection and modification of the code during execution.
Extracting Executable Transformations from Distilled Code Changesstevensreinout
This document presents an approach to extract executable code transformations from distilled code changes by representing changes as a change dependency graph and evolution state graph. It addresses the problem that different change sequences may implement the same source code transformation, making it difficult to specify and retrieve transformations using logic queries over changes alone. The approach involves specifying the initial and sought-after states using AST logic and querying the evolution state graph to retrieve a minimal executable change subsequence between the states. An evaluation on refactorings shows the approach returns significantly shorter solutions than naively replaying original change sequences.
The document discusses various techniques for writing clean code, including formatting code consistently, using meaningful names, writing comments to explain intent, keeping functions focused on single tasks, limiting class and method complexity, and avoiding hardcoded values. It emphasizes habits like adhering to coding standards as a team and writing unit tests. Specific techniques mentioned include consistent formatting, searchable names, avoiding comments as a crutch, limiting function parameters and nesting depth, and preferring classes with cohesive responsibilities. The document recommends several coding standards and style guides.
The document discusses Simple API for XML (SAX), an event-based model for parsing XML documents. SAX involves defining handler methods that are called when XML parsing events occur, like start elements or character data. This allows applications to process XML documents as they are parsed without loading the entire document into memory. The example shows a SAX parser that outputs a tree structure of an XML document by overriding handler methods.
The Ring programming language version 1.3 book - Part 23 of 88Mahmoud Samir Fayed
This document provides documentation on reflection and meta-programming functions in Ring programming language. Some key functions discussed include locals(), globals(), functions(), cfunctions(), islocal(), isglobal(), isfunction(), iscfunction(), packages(), ispackage(), classes(), isclass(), packageclasses() which allow programmers to retrieve information about variables, functions, packages and classes defined at runtime. Examples are given to demonstrate the usage of each function.
The Ring programming language version 1.6 book - Part 11 of 189Mahmoud Samir Fayed
The Ring documentation describes updates made in Ring version 1.6, including improved documentation generation for extensions, new Ring VM tracing functions, and more syntax flexibility. It also provides an example of using the new tracing functions to debug a Ring program and view variable values in the interactive debugger.
This document contains source code for various components of a Java program that implements grammatical optimization. It includes the main class with the main method that initializes variables and objects. It also includes classes for the genotype, grammar, initializer, and mapper components. The classes define methods for initializing objects, mapping between genotypes and phenotypes, checking validity, and accessing attributes.
The document describes an implementation of two interfaces - ExamPeekableQueue and ExamImmutableQueue.
For ExamPeekableQueue, two approaches are discussed - Approach 1 maintains a sorted list and uses binary search for operations in O(lgN) amortized time. Approach 2 uses two TreeSets to partition the elements for O(lgN) enqueue and dequeue.
For ExamImmutableQueue, elements are permanently added to the queue. Enqueue and dequeue return new queues in O(1) amortized time by appending/moving elements between two pointer lists, maintaining the original queues.
The Ring programming language version 1.5.1 book - Part 30 of 180Mahmoud Samir Fayed
This document provides a summary of Ring documentation for version 1.5.1. It discusses defining variables before use, avoiding global variables, protecting class members, accessing object attributes and methods using 'this', pure functions that don't change state, first-class functions that can be passed as parameters and returned as values, higher-order functions that take other functions as parameters, anonymous and nested functions, and equality of functions.
The document discusses Groovy, an object-oriented scripting language for the Java Virtual Machine (JVM). It provides examples of Groovy code and describes Groovy's features such as optional typing, closures, list and map syntax, and interoperability with Java. Key features include dynamic typing, closures/anonymous functions, built-in support for lists/maps, and compiling to Java bytecode. Groovy aims to make Java development more productive and agile through a syntax resembling Python/Ruby.
The document contains code snippets for various Java programs that perform tasks like calculating the area of a circle, finding the factorial of a number, displaying prime numbers, sorting an array, counting characters in a string, reversing a string, creating and running threads, handling exceptions, and creating a simple applet with buttons to change the background color. The code examples demonstrate basic Java programming concepts like classes, methods, loops, arrays, exceptions, threads, applets, and event handling.
The Ring programming language version 1.5.4 book - Part 32 of 185Mahmoud Samir Fayed
This document provides information on reflection and meta-programming in Ring programming language. Some key functions discussed include locals(), globals(), functions(), cfunctions(), islocal(), isglobal(), isfunction(), iscfunction(), packages(), ispackage(), classes(), isclass(), and packageclasses(). These functions allow programmers to get information about variables, functions, classes, and packages defined in their program at runtime. This enables dynamic programming features like modifying code during execution.
ESNext for humans - LvivJS 16 August 2014Jan Jongboom
The document discusses new features in ES.next (ECMAScript 2015) that improve on existing JavaScript capabilities. It describes how proxies can be used to intercept operations on objects, allowing properties to be returned dynamically or exceptions thrown. It also covers other new features like maps, destructuring, arrow functions, and let/const that address issues with older variable scoping and iteration behaviors. Overall it presents ES.next as providing solutions for things that used to require frameworks as well as enabling new functionality not previously possible in JavaScript.
The document contains 21 code snippets showing examples of various Java programming concepts. The code snippets cover topics such as classes and objects, inheritance, interfaces, exceptions, threads, applets, packages, input/output, and networking.
Evolving with Java - How to Remain EffectiveNaresha K
Slides from my Java2Days 2020 talk - "Evolving with Java - How to Remain Effective".
Developers find themselves in need to continually update themselves with the rapidly changing technologies to remain relevant and deliver value. However, by keeping a few things in mind and with certain practices, this can be a pleasant experience. In this presentation, I share my experiences learning and evolving with Java in the last 15+ years. The ideas presented are generic enough to be applicable for people using any technology stack. However, the code examples are in Java/ JVM languages.
We start by understanding the importance of gradual improvement. To keep motivated for continuous improvement, in my experience, responsiveness is a vital element. I share my experience of how to increase your responsiveness. To be able to change/ experiment continuously in our code, we need to ensure that we don't break anything. We explore the necessary techniques to achieve safety. Often we mistakenly consider lack of familiarity as complexity. We explore options to come out of this confusion. We then touch upon the impact of learning paradigms and multiple languages available on the JVM. Finally, we touch upon another important aspect of continuous improvement that is unlearning. We conclude the session by summarising the principles.
Mixing functional and object oriented approaches to programming in C#Mark Needham
The document discusses mixing functional and object-oriented programming approaches in C#, covering topics like generics, LINQ, lambdas, anonymous methods, extension methods, and more. It provides examples of filtering arrays and enumerables using predicates in increasingly functional styles. It argues that functional programming can complement object-oriented code by abstracting over common operations.
Java supports generics as of version 1.5 to allow type-safe operations on parameterized types like List<String>. Generics eliminate the need for explicit casting when adding and retrieving elements. Wildcard types like List<?> provide flexibility but are more limited than specific types. Generic methods allow algorithms to operate on types in a generic way through type parameters.
This document contains source code for several Java programs that demonstrate concepts related to networking and URLs. The programs cover topics like retrieving a URL, getting URL information, working with InetAddress, demonstrating parts of a URL, and connectionless and connection-oriented communication between a server and client using UDP and TCP sockets. The code examples are accompanied by expected output.
The document contains code for 9 Java programming practical assignments. The first practical accepts coefficients for a quadratic equation, calculates the roots and outputs the results. The second accepts two matrices as input and calculates their addition. The third sorts an array of strings in ascending order. The fourth creates an Animal interface and classes that implement it to demonstrate polymorphism. The remaining practicals demonstrate inheritance, exceptions, GUI programming using Swing components, and the List interface.
This presentation focuses on optimization of queries in MySQL from developer’s perspective. Developers should care about the performance of the application, which includes optimizing SQL queries. It shows the execution plan in MySQL and explain its different formats - tabular, TREE and JSON/visual explain plans. Optimizer features like optimizer hints and histograms as well as newer features like HASH joins, TREE explain plan and EXPLAIN ANALYZE from latest releases are covered. Some real examples of slow queries are included and their optimization explained.
The Ring programming language version 1.8 book - Part 37 of 202Mahmoud Samir Fayed
The document discusses various functions in Ring for reflection and meta-programming. It describes functions like locals(), globals(), functions(), cfunctions(), islocal(), isglobal(), isfunction(), iscfunction(), packages(), and others that provide information about variables, functions, packages defined in the runtime environment. These functions allow inspection and modification of the code during execution.
Extracting Executable Transformations from Distilled Code Changesstevensreinout
This document presents an approach to extract executable code transformations from distilled code changes by representing changes as a change dependency graph and evolution state graph. It addresses the problem that different change sequences may implement the same source code transformation, making it difficult to specify and retrieve transformations using logic queries over changes alone. The approach involves specifying the initial and sought-after states using AST logic and querying the evolution state graph to retrieve a minimal executable change subsequence between the states. An evaluation on refactorings shows the approach returns significantly shorter solutions than naively replaying original change sequences.
The document discusses various techniques for writing clean code, including formatting code consistently, using meaningful names, writing comments to explain intent, keeping functions focused on single tasks, limiting class and method complexity, and avoiding hardcoded values. It emphasizes habits like adhering to coding standards as a team and writing unit tests. Specific techniques mentioned include consistent formatting, searchable names, avoiding comments as a crutch, limiting function parameters and nesting depth, and preferring classes with cohesive responsibilities. The document recommends several coding standards and style guides.
The document discusses Simple API for XML (SAX), an event-based model for parsing XML documents. SAX involves defining handler methods that are called when XML parsing events occur, like start elements or character data. This allows applications to process XML documents as they are parsed without loading the entire document into memory. The example shows a SAX parser that outputs a tree structure of an XML document by overriding handler methods.
The Ring programming language version 1.3 book - Part 23 of 88Mahmoud Samir Fayed
This document provides documentation on reflection and meta-programming functions in Ring programming language. Some key functions discussed include locals(), globals(), functions(), cfunctions(), islocal(), isglobal(), isfunction(), iscfunction(), packages(), ispackage(), classes(), isclass(), packageclasses() which allow programmers to retrieve information about variables, functions, packages and classes defined at runtime. Examples are given to demonstrate the usage of each function.
The Ring programming language version 1.6 book - Part 11 of 189Mahmoud Samir Fayed
The Ring documentation describes updates made in Ring version 1.6, including improved documentation generation for extensions, new Ring VM tracing functions, and more syntax flexibility. It also provides an example of using the new tracing functions to debug a Ring program and view variable values in the interactive debugger.
This document contains source code for various components of a Java program that implements grammatical optimization. It includes the main class with the main method that initializes variables and objects. It also includes classes for the genotype, grammar, initializer, and mapper components. The classes define methods for initializing objects, mapping between genotypes and phenotypes, checking validity, and accessing attributes.
The document describes an implementation of two interfaces - ExamPeekableQueue and ExamImmutableQueue.
For ExamPeekableQueue, two approaches are discussed - Approach 1 maintains a sorted list and uses binary search for operations in O(lgN) amortized time. Approach 2 uses two TreeSets to partition the elements for O(lgN) enqueue and dequeue.
For ExamImmutableQueue, elements are permanently added to the queue. Enqueue and dequeue return new queues in O(1) amortized time by appending/moving elements between two pointer lists, maintaining the original queues.
The Ring programming language version 1.5.1 book - Part 30 of 180Mahmoud Samir Fayed
This document provides a summary of Ring documentation for version 1.5.1. It discusses defining variables before use, avoiding global variables, protecting class members, accessing object attributes and methods using 'this', pure functions that don't change state, first-class functions that can be passed as parameters and returned as values, higher-order functions that take other functions as parameters, anonymous and nested functions, and equality of functions.
The document discusses Groovy, an object-oriented scripting language for the Java Virtual Machine (JVM). It provides examples of Groovy code and describes Groovy's features such as optional typing, closures, list and map syntax, and interoperability with Java. Key features include dynamic typing, closures/anonymous functions, built-in support for lists/maps, and compiling to Java bytecode. Groovy aims to make Java development more productive and agile through a syntax resembling Python/Ruby.
The document contains code snippets for various Java programs that perform tasks like calculating the area of a circle, finding the factorial of a number, displaying prime numbers, sorting an array, counting characters in a string, reversing a string, creating and running threads, handling exceptions, and creating a simple applet with buttons to change the background color. The code examples demonstrate basic Java programming concepts like classes, methods, loops, arrays, exceptions, threads, applets, and event handling.
The Ring programming language version 1.5.4 book - Part 32 of 185Mahmoud Samir Fayed
This document provides information on reflection and meta-programming in Ring programming language. Some key functions discussed include locals(), globals(), functions(), cfunctions(), islocal(), isglobal(), isfunction(), iscfunction(), packages(), ispackage(), classes(), isclass(), and packageclasses(). These functions allow programmers to get information about variables, functions, classes, and packages defined in their program at runtime. This enables dynamic programming features like modifying code during execution.
ESNext for humans - LvivJS 16 August 2014Jan Jongboom
The document discusses new features in ES.next (ECMAScript 2015) that improve on existing JavaScript capabilities. It describes how proxies can be used to intercept operations on objects, allowing properties to be returned dynamically or exceptions thrown. It also covers other new features like maps, destructuring, arrow functions, and let/const that address issues with older variable scoping and iteration behaviors. Overall it presents ES.next as providing solutions for things that used to require frameworks as well as enabling new functionality not previously possible in JavaScript.
The document contains 21 code snippets showing examples of various Java programming concepts. The code snippets cover topics such as classes and objects, inheritance, interfaces, exceptions, threads, applets, packages, input/output, and networking.
Evolving with Java - How to Remain EffectiveNaresha K
Slides from my Java2Days 2020 talk - "Evolving with Java - How to Remain Effective".
Developers find themselves in need to continually update themselves with the rapidly changing technologies to remain relevant and deliver value. However, by keeping a few things in mind and with certain practices, this can be a pleasant experience. In this presentation, I share my experiences learning and evolving with Java in the last 15+ years. The ideas presented are generic enough to be applicable for people using any technology stack. However, the code examples are in Java/ JVM languages.
We start by understanding the importance of gradual improvement. To keep motivated for continuous improvement, in my experience, responsiveness is a vital element. I share my experience of how to increase your responsiveness. To be able to change/ experiment continuously in our code, we need to ensure that we don't break anything. We explore the necessary techniques to achieve safety. Often we mistakenly consider lack of familiarity as complexity. We explore options to come out of this confusion. We then touch upon the impact of learning paradigms and multiple languages available on the JVM. Finally, we touch upon another important aspect of continuous improvement that is unlearning. We conclude the session by summarising the principles.
Mixing functional and object oriented approaches to programming in C#Mark Needham
The document discusses mixing functional and object-oriented programming approaches in C#, covering topics like generics, LINQ, lambdas, anonymous methods, extension methods, and more. It provides examples of filtering arrays and enumerables using predicates in increasingly functional styles. It argues that functional programming can complement object-oriented code by abstracting over common operations.
Mixing Functional and Object Oriented Approaches to Programming in C#Skills Matter
The document discusses mixing functional and object-oriented programming approaches in C#, including examples of filtering arrays using predicates and delegates. It covers the evolution of C# from version 1.0 to 3.0, introducing generics, lambda expressions, extension methods and LINQ. Functional programming concepts like higher-order functions, immutability and lazy evaluation are also briefly discussed.
This document provides an overview of object oriented programming topics including arrays and Java operators. It discusses single and multi-dimensional arrays, how to declare, create, initialize, and index arrays. It also covers the different types of Java operators such as assignment, arithmetic, relational, logical, and bitwise operators. Examples are provided to demonstrate how to use arrays and each type of operator in Java code.
This document discusses techniques for working with legacy code, including sprout method, wrap method, and wrap class. Sprout method involves extracting part of an existing method into a new method. Wrap method surrounds an existing method with new code. Wrap class creates a new class that delegates to the original class, allowing new behavior to be added. The techniques allow new functionality to be added to legacy code in a way that does not disrupt existing behavior and allows the new code to be tested independently.
The document discusses functional programming and lambda expressions in Java 8. It begins by defining functional programming and predicates from predicate logic. It then discusses the key properties of functional programming including no states, passing control, single large function, and no cycles. The document provides examples of determining if a number is prime in both imperative and declarative styles using Java 8 lambda expressions. It also provides examples of getting the first doubled number greater than 3 from a list using both declarative and imperative approaches. The examples demonstrate the use of streams, filters, maps and other functional operations.
Problem 1 Show the comparison of runtime of linear search and binar.pdfebrahimbadushata00
The document describes two problems:
1) Comparing the runtime of linear search and binary search on random data sets of increasing sizes from 50,000 to 300,000 elements. The worst case runtime is reported.
2) Comparing the runtime of bubble sort and merge sort on the same random data sets. The algorithms sort the data in ascending order.
Java code is provided to generate the random data, implement the algorithms, and output the runtimes in nanoseconds. Line charts and tables are to be created from the output data to compare the performance of the different algorithms.
Slides for a lightning talk on Java 8 lambda expressions I gave at the Near Infinity (www.nearinfinity.com) 2013 spring conference.
The associated sample code is on GitHub at https://github.com/sleberknight/java8-lambda-samples
The document provides an overview of RxJava and its advantages over traditional Java streams and callbacks. It discusses key RxJava concepts like Observables, Observers, and Subscriptions. It demonstrates how to create Observables, subscribe to them, and compose operations like filter, map, and zip. It shows how to leverage schedulers to control threading. The document also provides examples of using RxJava with HTTP requests and the Twitter API to asynchronously retrieve user profiles and tweets. It highlights scenarios where RxJava is useful, like handling asynchronous operations, and discusses some pitfalls like its learning curve and need to understand backpressure.
This document provides information on arrays and functions in Java. It discusses how to declare, initialize, access elements of arrays including multi-dimensional arrays. It also covers passing arguments to functions by value and reference, copying arrays, sorting arrays, and anonymous arrays. Functions can modify arguments passed by reference like arrays but not primitive types or object references passed by value.
Solr provides concise summaries of key points from the document:
1. Solr discusses its search architecture including the use of Thrift for service encapsulation and reduced network traffic. Only IDs are returned from searches to reduce index size and enable easy scaling of primary key lookups.
2. Load balancing is discussed, including an algorithm that hashes the query and number of servers to provide server affinity while distributing load evenly.
3. Replication of the index is covered, including challenges with multicast and an implementation using BitTorrent to efficiently replicate files.
Tech Talk #4 : RxJava and Using RxJava in MVP - Dương Văn TớiNexus FrontierTech
RxJava is a library for composing asynchronous and event-based programs using observable sequences. It allows processing streams of data and events asynchronously without blocking threads. Some key features include:
- Creating Observables from various sources like arrays, callbacks, or network requests
- Combining multiple Observables using operators like map, filter, concatMap
- Scheduling Observables to run on different threads for IO, computation, or the main thread
- Subscribing to Observables using Subscriber, Observer, or other callback methods
When using RxJava with MVP, Observables can be used to asynchronously load and transform data from the model to be presented by the view. Operators allow processing streams of data before
Create a menu-driven program that will accept a collection of non-ne.pdfrajeshjangid1865
Create a menu-driven program that will accept a collection of non-negative integers from the
keyboard, calculate the mean and median values and display those values on the screen. Your
menu should have 6 options: 1. Add a number to the array 2. Display the mean 3. Display the
median 4. Print the array to the screen 5. Print the array in reverse order 6. Quit
Program particulars: Use an array of type int to store the integers entered by the user. There
must be error checking on the input integer. If it is negative, the program will print an error
message and re-prompt. This process will continue until a non-negative integer is entered. You
must use a try-catch structure to trap both types of input errors (like letters where numbers
should go) and range errors (like -1). You must write your own selectionSort utility method to
sort your array. Place the method in an external file named SortSearchUtil.java. There must be
error checking on the menu choice entered. If the user enters a choice not on the menu, the
program will print an error message, re-display the menu and re-prompt. This process will
continue until a valid option value is entered. Your solution must be modular. The design of your
methods is up to you, but the rules of “highly cohesive” and “loosely coupled” must be followed.
Your program should be well-documented. Explain what you’re doing in your code. Be sure to
include the usual name and assignment notes. Note your program will have to sort your array
before you can find the median. Include your SortSearchUtil.java file which will contain your
sort method.
This is what my project looks like already: Please fix it thanks. The SortSearchUtil will also be
included.
import java.util.Scanner;
public class ArraySorting
{
public static void main(String[] args)
{
int option;
int integer = 0;
int optionOne;
int optionTwo;
int optionThree;
int optionFour;
int optionFive;
int[] numbers = new int[5];
Scanner kb = new Scanner(System.in);
System.out.println(\"Please enter a non-negative integer: \");
integer = kb.nextInt();
while((integer < 0))
{
System.out.println(\"I am sorry that is not a non-negative integer.\");
System.out.println(\"\");
System.out.println(\"Please enter a non-negative integer: \");
integer = kb.nextInt();
}
option = displayMenu(kb);
while (option != 6)
{
switch (option)
{
case 1:
optionOne(numbers);
System.out.println(\"\");
break;
case 2:
optionTwo(numbers);
System.out.println(\"\");
case 3:
//optionThree();
System.out.println(\"\");
break;
case 4:
//optionFour();
System.out.println(\"\");
break;
case 5:
//optionFive();
System.out.println(\"\");
break;
}
option = displayMenu(kb);
}
if (option == 6)
{
System.out.println();
System.out.println(\"Thank you. Have a nice day.\");
}
}
private static int displayMenu(Scanner kb)
{
int option = 0;
while (option != 1 && option != 2 && option != 3 && option != 4 && option !=5 && option
!=6)
{
System.out.println(\"\\t\\t1. Add a number to the array\ \\t\\t2. Display the mean\ \\t\.
Beyond Java discusses Java's innovations centered around Java 8. Key changes included lambda expressions, date/time API improvements, and stream processing. Lambda expressions were added after years of proposals and discussions. Java uses objects to pass behaviors as parameters rather than functions. Collections utilities demonstrate passing comparators to sort or find the minimum/maximum of a collection.
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.
PHP and MySQL Tips and tricks, DC 2007Damien Seguy
Like opening a long hidden treasure chest, this session will bring many jewels back to the programming light. We'll cover a number of lesser known PHP function and MySQL functionalities, that will help at daily tasks. They will be applied in various fields, including security, performances, standard compliance and simply fun to program.
The document discusses arrays in Java. It begins by defining an array as a data structure that holds a collection of the same type of data. It then covers topics such as declaring and creating arrays, accessing array elements using indexes, default values, passing arrays to methods, returning arrays from methods, and two-dimensional arrays. Examples are provided throughout to illustrate key concepts related to working with arrays in Java programs.
The document discusses testing with Spock, a Groovy-based testing framework. It provides examples of different Spock features like BDD-style tests using Given-When-Then, data-driven testing with the @Unroll annotation, mocking, and sharing test state between specifications using the @Shared annotation or setupSpec method. It also covers Spock's integration with JUnit and how to write Spock tests that are compatible with both JUnit 4 and JUnit 5.
Take Control of your Integration Testing with TestContainersNaresha K
1) TestContainers is a Java library that supports integration testing with real databases, services, and APIs without requiring heavy infrastructure. It uses Docker containers to launch and initialize external dependencies for tests.
2) The document discusses how to use TestContainers to test against databases like MySQL and services like S3 storage. It provides code examples of initializing containers and writing integration tests against them.
3) TestContainers supports various databases and services out of the box. It can also be used to launch generic Docker images and Docker Compose configurations to test against complex environments.
Slides from my demonstration of implementing resilience with micronaut framework. The patterns included in the demo consists of the timeout, retry, circuit breaker, and fallback.
Take Control of your Integration Testing with TestContainersNaresha K
Slides from my demonstration titled "Take Control of your Integration Testing with TestContainers". Demonstrates using TestContainers for RDBMS and test driving S3 API with localstack.
Slides from my APACHECON@HOME 2020 talk - "Favouring Composition - The Groovy Way".
Most developers I met agree that composition is better than inheritance. However, in most codebases, we see the use of inheritance where composition would have been a better design choice. Then why are the Java developers falling into this trap? It is easy to implement inheritance over composition. But we end up paying for the consequences in terms of reduced maintainability. Can language offer anything for the developers to implement composition? In this presentation, I walk you through what Groovy has to offer to make sure implementing composition is as easy as inheritance, if not simpler. I dive into three techniques for applying the composition in your Groovy applications. We start with the technique of delegation and see how easy it is to implement compositions. We uncover the limitations of this technique and introduce traits. After walking through plenty of code examples covering various aspects of using traits, we briefly touch upon functional composition, since Groovy also supports functional programming.
Effective Java with Groovy - How Language Influences Adoption of Good PracticesNaresha K
This document summarizes key points from a presentation about how the Groovy programming language helps developers adopt good practices outlined in Effective Java. It discusses how some Effective Java items like avoiding nulls and enforcing immutability are built into Groovy. AST transformations further reduce work by implementing patterns like the singleton pattern. While Effective Java provides good guidelines, direct implementations may not always apply to Groovy - the language aims to reduce friction to writing good code. Overall, programming languages can help developers implement best practices through built-in functionality and transformations.
What's in Groovy for Functional ProgrammingNaresha K
Slides from my APACHECON@HOME 2020 talk - "What's in Groovy for Functional Programming".
The directions in which popular programming languages are heading to is clear evidence of the need for multiple programming paradigms. One such programming paradigm that is gaining attention these days is functional programming. Groovy too has embraced functional programming and provides a wide variety of features for a developer to code in the functional style. In this session, I demonstrate the functional programming features of Groovy. We start with the higher-order function support in Groovy and see the benefits they offer. From the example, we can observe that functional programming is indeed idiomatic in several parts of Groovy. We then step into implementing functional composition, currying, memoizing tail-call optimization, and recursion.
Effective Java with Groovy & Kotlin - How Languages Influence Adoption of Goo...Naresha K
There are several instances where Groovy and Kotlin take different approaches to implement Effective Java. As a participant, you walk away appreciating the simplicity with which these JVM languages empower the developers. The talk also provides food for thought - how languages can influence its users to adopt good practices.
Effective Java with Groovy & Kotlin How Languages Influence Adoption of Good ...Naresha K
Slides from my Java2Days presentation - "Effective Java
with Groovy & Kotlin - How Languages Influence the Adoption of Good Practices", held in Sofia, Bulgaria on 11 December 2019.
Eclipse Collections, Java Streams & Vavr - What's in them for Functional Pro...Naresha K
Slides from the Functional Conf 2019 presentation - "Eclipse Collections, Java Streams & Vavr - What's in them for Functional Programming". How to leverage Eclipse Collections and Vavr libraries for improved developer experience for functional programming.
Implementing Cloud-Native Architectural Patterns with MicronautNaresha K
Slides from my presentation at Software Architects Bangalore meetup help on October 12, 2019. Covers externalised configuration, runtime reconfiguration, fault tolerance, and API versioning.
This document discusses leveraging Micronaut, an open source Java framework, to build serverless applications on AWS Lambda. It demonstrates how to create a Micronaut function that converts temperatures between Celsius and Fahrenheit and deploy it to AWS Lambda. It also shows how to test the function locally and with unit tests using the Micronaut test support. The function can then be invoked remotely and from other applications using a generated client. Micronaut provides features like dependency injection that reduce overhead compared to traditional Lambda applications.
Slides from GR8 Conf EU 2019 talk - "Groovy Refactoring Patterns". In this talk, I share the refactoring patterns I observed during Groovy development.
Implementing Cloud-native Architectural Patterns with MicronautNaresha K
This document discusses implementing cloud-native architectural patterns with Micronaut, including externalized configuration, service discovery, resiliency features like retries and circuit breakers, API versioning, and more. It provides code examples of configuring services for Consul-based service discovery and external configuration. It also shows how to add features like retries, timeouts, and fallbacks to make services more fault tolerant. The conclusion is that Micronaut makes it easier to implement cloud-native patterns and principles with built-in support for many of these features.
This document provides a summary of key points from Effective Java in Groovy. It begins with an introduction and contact information for the author. It then discusses various tips and best practices from Effective Java, including how to implement them more easily in Groovy through features like annotations, closures, and AST transformations. Specific tips covered include immutable classes, singletons, Comparable, collections, and composition over inheritance. The document emphasizes that Groovy's dynamic nature can help simplify applying many of the patterns and avoid some of the "traps" of directly implementing Effective Java concepts in Java.
Beyond Lambdas & Streams - Functional Fluency in JavaNaresha K
While Java 8 opens up the door for functional programming with lambdas and streams, one can soon discover the limitations. Vavr is a library that fills up the gaps in Java for functional programming.
GORM, which started as a part of Grails framework is now a standalone library. Developers can use GORM for developing the data layer of your applications. This presentation demonstrates how GORM provides a unified API for working across different types of data stores without sacrificing their uniqueness & strength.
It is the time rethink the way we build HTTP applications. Instead of the thread per request model, let us explore how to leverage non-blocking and asynchronous model using Ratpack.
Agentic AI Use Cases using GenAI LLM modelsManish Chopra
This document presents specific use cases for Agentic AI (Artificial Intelligence), featuring Large Language Models (LLMs), Generative AI, and snippets of Python code alongside each use case.
Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot
Towards a fairer, inclusive and sustainable AI that works for everybody.
Reviewing the state of the art on these challenges and what we're doing at LIST to test current LLMs and help you select the one that works best for you
Discover why Wi-Fi 7 is set to transform wireless networking and how Router Architects is leading the way with next-gen router designs built for speed, reliability, and innovation.
Mastering OOP: Understanding the Four Core PillarsMarcel David
Visit for updated note:
https://www.notion.so/Four-Pillars-of-Object-Oriented-Programming-OOP-1e2d7d9612808079b7c5f938afd62a7b?pvs=4
Dive into the essential concepts of Object-Oriented Programming (OOP) with a detailed explanation of its four key pillars: Encapsulation, Inheritance, Polymorphism, and Abstraction. Understand how these principles contribute to robust, maintainable, and scalable software development.
Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185
GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts development, causing delays and driving up costs. Diagnosing failures becomes especially challenging because error logs are often long, complex and unstructured. Given these difficulties, this study explores the potential of large language models (LLMs) to generate correct, clear, concise, and actionable contextual descriptions (or summaries) for GA failures, focusing on developers’ perceptions of their feasibility and usefulness. Our results show that over 80% of developers rated LLM explanations positively in terms of correctness for simpler/small logs. Overall, our findings suggest that LLMs can feasibly assist developers in understanding common GA errors, thus, potentially reducing manual analysis. However, we also found that improved reasoning abilities are needed to support more complex CI/CD scenarios. For instance, less experienced developers tend to be more positive on the described context, while seasoned developers prefer concise summaries. Overall, our work offers key insights for researchers enhancing LLM reasoning, particularly in adapting explanations to user expertise.
https://arxiv.org/abs/2501.16495
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Adobe Photoshop Lightroom is a photo editing and organization software application primarily used by photographers. It's designed to streamline workflows, manage large photo collections, and make adjustments to images in a non-destructive way. Lightroom is available across various platforms, including desktop, mobile (iOS and Android), and web, allowing for consistent editing and organization across devices.
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Adobe Photoshop is a widely-used, professional-grade software for digital image editing and graphic design. It allows users to create, manipulate, and edit raster images, which are pixel-based, and is known for its extensive tools and capabilities for photo retouching, compositing, and creating intricate visual effects.
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Douwan Preactivated Crack Douwan Crack Free Download. Douwan is a comprehensive software solution designed for data management and analysis.
Secure Test Infrastructure: The Backbone of Trustworthy Software DevelopmentShubham Joshi
A secure test infrastructure ensures that the testing process doesn’t become a gateway for vulnerabilities. By protecting test environments, data, and access points, organizations can confidently develop and deploy software without compromising user privacy or system integrity.
What Do Contribution Guidelines Say About Software Testing? (MSR 2025)Andre Hora
Software testing plays a crucial role in the contribution process of open-source projects. For example, contributions introducing new features are expected to include tests, and contributions with tests are more likely to be accepted. Although most real-world projects require contributors to write tests, the specific testing practices communicated to contributors remain unclear. In this paper, we present an empirical study to understand better how software testing is approached in contribution guidelines. We analyze the guidelines of 200 Python and JavaScript open-source software projects. We find that 78% of the projects include some form of test documentation for contributors. Test documentation is located in multiple sources, including CONTRIBUTING files (58%), external documentation (24%), and README files (8%). Furthermore, test documentation commonly explains how to run tests (83.5%), but less often provides guidance on how to write tests (37%). It frequently covers unit tests (71%), but rarely addresses integration (20.5%) and end-to-end tests (15.5%). Other key testing aspects are also less frequently discussed: test coverage (25.5%) and mocking (9.5%). We conclude by discussing implications and future research.
Designing AI-Powered APIs on Azure: Best Practices& ConsiderationsDinusha Kumarasiri
AI is transforming APIs, enabling smarter automation, enhanced decision-making, and seamless integrations. This presentation explores key design principles for AI-infused APIs on Azure, covering performance optimization, security best practices, scalability strategies, and responsible AI governance. Learn how to leverage Azure API Management, machine learning models, and cloud-native architectures to build robust, efficient, and intelligent API solutions
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Adobe After Effects is a software application used for creating motion graphics, special effects, and video compositing. It's widely used in TV and film post-production, as well as for creating visuals for online content, presentations, and more. While it can be used to create basic animations and designs, its primary strength lies in adding visual effects and motion to videos and graphics after they have been edited.
Here's a more detailed breakdown:
Motion Graphics:
.
After Effects is powerful for creating animated titles, transitions, and other visual elements to enhance the look of videos and presentations.
Visual Effects:
.
It's used extensively in film and television for creating special effects like green screen compositing, object manipulation, and other visual enhancements.
Video Compositing:
.
After Effects allows users to combine multiple video clips, images, and graphics to create a final, cohesive visual.
Animation:
.
It uses keyframes to create smooth, animated sequences, allowing for precise control over the movement and appearance of objects.
Integration with Adobe Creative Cloud:
.
After Effects is part of the Adobe Creative Cloud, a suite of software that includes other popular applications like Photoshop and Premiere Pro.
Post-Production Tool:
.
After Effects is primarily used in the post-production phase, meaning it's used to enhance the visuals after the initial editing of footage has been completed.
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Adobe Lightroom Classic is a desktop-based software application for editing and managing digital photos. It focuses on providing users with a powerful and comprehensive set of tools for organizing, editing, and processing their images on their computer. Unlike the newer Lightroom, which is cloud-based, Lightroom Classic stores photos locally on your computer and offers a more traditional workflow for professional photographers.
Here's a more detailed breakdown:
Key Features and Functions:
Organization:
Lightroom Classic provides robust tools for organizing your photos, including creating collections, using keywords, flags, and color labels.
Editing:
It offers a wide range of editing tools for making adjustments to color, tone, and more.
Processing:
Lightroom Classic can process RAW files, allowing for significant adjustments and fine-tuning of images.
Desktop-Focused:
The application is designed to be used on a computer, with the original photos stored locally on the hard drive.
Non-Destructive Editing:
Edits are applied to the original photos in a non-destructive way, meaning the original files remain untouched.
Key Differences from Lightroom (Cloud-Based):
Storage Location:
Lightroom Classic stores photos locally on your computer, while Lightroom stores them in the cloud.
Workflow:
Lightroom Classic is designed for a desktop workflow, while Lightroom is designed for a cloud-based workflow.
Connectivity:
Lightroom Classic can be used offline, while Lightroom requires an internet connection to sync and access photos.
Organization:
Lightroom Classic offers more advanced organization features like Collections and Keywords.
Who is it for?
Professional Photographers:
PCMag notes that Lightroom Classic is a popular choice among professional photographers who need the flexibility and control of a desktop-based application.
Users with Large Collections:
Those with extensive photo collections may prefer Lightroom Classic's local storage and robust organization features.
Users who prefer a traditional workflow:
Users who prefer a more traditional desktop workflow, with their original photos stored on their computer, will find Lightroom Classic a good fit.
Scaling GraphRAG: Efficient Knowledge Retrieval for Enterprise AIdanshalev
If we were building a GenAI stack today, we'd start with one question: Can your retrieval system handle multi-hop logic?
Trick question, b/c most can’t. They treat retrieval as nearest-neighbor search.
Today, we discussed scaling #GraphRAG at AWS DevOps Day, and the takeaway is clear: VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval.
GraphRAG builds a knowledge graph from source documents, allowing for a deeper understanding of the data + higher accuracy.
How to Batch Export Lotus Notes NSF Emails to Outlook PST Easily?steaveroggers
Migrating from Lotus Notes to Outlook can be a complex and time-consuming task, especially when dealing with large volumes of NSF emails. This presentation provides a complete guide on how to batch export Lotus Notes NSF emails to Outlook PST format quickly and securely. It highlights the challenges of manual methods, the benefits of using an automated tool, and introduces eSoftTools NSF to PST Converter Software — a reliable solution designed to handle bulk email migrations efficiently. Learn about the software’s key features, step-by-step export process, system requirements, and how it ensures 100% data accuracy and folder structure preservation during migration. Make your email transition smoother, safer, and faster with the right approach.
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This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software.
Presented at: The 33rd International Conference on Program Comprehension (ICPC '25)
Date of Conference: April 2025
Conference Location: Ottawa, Ontario, Canada
Preprint: https://arxiv.org/abs/2501.10037
26. Pain is the hammer of the gods to break
A dead resistance in the mortal’s heart
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27. public static String concatWithPlus(String[]
values) {
String result = "";
for (int i = 0; i < values.length; i++) {
result += values[i];
}
return result;
}
46. /**
*
* @param customer
* @return This method returns orders
* of customer
*/
public List getOrdersOfCustomer(Customer
customer);
47. /**
* This method returns orders of customer
* @param customer Customer whose orders to be fetched
* @return List containing Order objects of the
* specified Customer
*/
public List getOrdersOfCustomer(Customer customer);
63. Food pizza = new Pizza();
Person friend = new Person("Ravi");
friend.getMouth().setFood(pizza);
64. Food pizza = new Pizza();
Person friend = new Person("Ravi");
friend.getMouth().setFood(pizza);
Person friend = new Person("Ravi");
Edible food = new Pizza();
friend.offer(food);
71. Most people talk about Java the language, and this
may sound odd coming from me, but I could hardly
care less. At the core of the Java ecosystem is the
JVM.
- James Gosling,
Creator of the Java Programming Language(2011, TheServerSide)