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.
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.
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.
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.
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.
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.
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.
Problem 1 Show the comparison of runtime of linear search and binar.pdfebrahimbadushata00
Problem 1: Show the comparison of runtime of linear search and binary search using line chart
and table. Execute both algorithms 6 times on same data(use random integer generators), where
input data size are: 50000, 100000, 150000, 200000, 250000, and 300000. Please report worst
case runtimes so that the search item is not found in the input data.
Problem 2: Show the comparison of runtime of bubble sort and merge sort using line chart and
table. Execute both algorithms 6 times on same data(use random integer generators), where data
size are: 50000, 100000, 150000, 200000, 250000, and 300000. In each execution, sort the data
in ascending order.
Solution
Search & sort comparison for differnt sort & search algorithms.
Problem1: Java Code:
import java.util.Random;
public class SearchComparison {
public static void main(String[] args) {
//Compare linear & binary search for
//random data 6 times & print its execution time
System.out.println(\"--------------------------------\");
//50000
searchComparison(50000);
System.out.println(\"--------------------------------\");
//100000
searchComparison(100000);
System.out.println(\"--------------------------------\");
//150000
searchComparison(150000);
System.out.println(\"--------------------------------\");
//200000
searchComparison(200000);
System.out.println(\"--------------------------------\");
//250000
searchComparison(250000);
System.out.println(\"--------------------------------\");
//and 300000
searchComparison(300000);
System.out.println(\"--------------------------------\");
}
/**
* searchComparison
* @param size
*/
public static void searchComparison(int size){
System.out.println(\"Input size:\"+size);
//Generate random numbers list for given size
Random randomGenerator = new Random();
int list[]=new int[size];
for (int index = 0; index < size; ++index){
list[index]=randomGenerator.nextInt(size);
}
//For worst case key must be last number list[size-1]
long startTime=System.nanoTime();
linearSearch(list, list[size-1]);
long endTime=System.nanoTime();
long totalTime=(endTime-startTime); //time in nanoseconds
System.out.println(\"Linear search: input size=\"+size+\" - time=\"+totalTime);
startTime=System.nanoTime();
binarySearch(list, list[size-1]);
endTime=System.nanoTime();
totalTime=(endTime-startTime); //time in milliseconds
System.out.println(\"Binary search: input size=\"+size+\" - time=\"+totalTime);
}
/**
* Linearly search key in list[]. If key is present then return the index,
* otherwise return -1
*
* @param list
* @param key
* @return
*/
public static int linearSearch(int list[], int key) {
for (int index = 0; index < list.length; index++) {
if (list[index] == key)
return index;
}
return -1;
}
/**
* BinarySearch search key in list[]. If key is present then return the
* index, otherwise return -1
*
* @param list
* @param key
* @return
*/
public static int binarySearch(int list[], int key) {
int lo = 0;
int hi = list.length - 1;
while (lo <= hi) {
// Key is in list[lo..hi] or not present..
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
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\.
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.
This session will take you on a tour of several languages that on the surface only share one thing in common – they all run on JVM as the execution platform. However, despite completely different appearances of Scala, Clojure, Jython and Groovy, we will demonstrate that they have some important commonalities. You will also see the emerging importance of JVM as a generic platform (as opposed to focusing on Java the language).
During the session we will implement a solution to a simple problem in each language, then compare these languages to Java. These solutions, while simple, will nonetheless highlight some of the common principles and implementation patterns that exist across the languages based on different paradigms. The solutions will also show how these approaches are different from implementation patterns common in Java.
Similar to Evolving with Java - How to remain Relevant and Effective (20)
Talk presented at Apache Con 2021 Groovy track.
Spock is a testing framework written in Groovy. I can confidently say that Spock is the best testing framework I ever used. The reason for this is the expressive specification language provided by the framework along with the productivity benefits offered by the Groovy language. Spock leverages the JUnit ecosystem and hence can co-exist with tests written in JUnit. In this presentation, we explore several features of Spock and understand how they add value to developers in terms of simplicity, readability, productivity, pragmatism.
We start by exploring the BDD style (given-when-then) structure of a Spock test and understand how it aids the developers to organise their thoughts and retain that clarity for the reader of the test as well. Then we move on to exploring the Spock way of writing assertions and understand the simplicity with which it provides expressive failure messages which aid in quick actionable feedback. Then we move on to realizing how Spock requires fewer tools and a smaller set of APIs to achieve functionalities such as mocking. In fact, Spock doesn't need an external library for mocking. In the final part of the presentation, we compare the approach of Spock in the areas of data-driven testing, ordering test cases, and co-existence with JUnit.
Take Control of your Integration Testing with TestContainersNaresha K
Slides from my Java2Days conference talk - Take Control of your Integration Testing with TestContainers.
How easy is it to write and maintain integration tests when your system under test interacts with databases, message stores, and other external systems? It can be quite challenging, can’t it? For example, the lack of control over the setup of databases can increase the cost of integration testing. Sometimes we take the route of using an in-memory database instead of the one we employ in the production environment, making the tests less effective. With Docker containers, you can simplify this to some extent by running the setup before invoking your tests. Imagine if you get to control the database environment right from within the test code. TestContainers bring in this convenience.
TestContainers is a tool that you can invoke from your test code. It provides lightweight, throwaway instances of common databases, web browsers(Selenium tests), or anything else that can run in a Docker container. In this presentation, I walk you through how TestContainers is the most effective way to take advantage of Docker containers for integration testing. I present through several use-cases and demonstrate how TestContainers simplifies integration testing.
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
Slides from my APACHECON@HOME 2020 talk - "Effective Java with Groovy - How Language Influences Adoption of Good Practices".
'Effective Java' presents the most effective ways of using language. However, the adoption of these practices among Java developers is less than satisfactory. In my observation, the effort required to implement them can be a barrier to the adoption of these practices. Since Groovy runs on JVM, most of the suggestions from Effective Java are equally relevant for Groovy developers. Groovy provides out of the box constructs for many of the recommended practices which can boost developer productivity. In this talk, I walk you through code examples that follow these good practices, highlighting the Groovy way of implementing the 'Effective Java' suggestions. As a participant, you walk away, appreciating the simplicity with which Groovy empowers the developers. The talk also provides food for thought - how a language can influence its users to adopt good practices. Java users learn the techniques a language can use to reduce the friction to adoption of good practices, instead of coming up with a prescription on how to implement good practices. Developers familiar with Groovy understand the reason behind the design of their favourite language features.
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.
Slides from GR8 Conf EU 2019 talk - "Groovy Refactoring Patterns". In this talk, I share the refactoring patterns I observed during Groovy development.
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.
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
26. Pain is the hammer of the gods to break
A dead resistance in the mortal’s heart
https://dhavaldalal.wordpress.com/2006/08/02/pain-and-suffering/
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)