This document discusses input/output (I/O) and file system access in Java. It covers the java.io.File and java.nio.file.Path classes for representing files and directories, and how to use them to check file/directory attributes, resolve paths, and manipulate files and directories by creating, deleting, copying, moving, etc. It also covers the java.io streams for byte and character I/O including InputStream, OutputStream, Reader, and Writer. Common stream operations like copying from input to output streams are demonstrated.
soft-shake.ch - Java SE 7: The Fork/Join Framework and Project Coinsoft-shake.ch
Julien Ponge
This talk introduces part of the Java SE 7 novelties. The fork/join framework aims at making parallel programming simpler, while Project Coin brings a set of subtle yet useful changes to the Java programming language.
http://soft-shake.ch/2011/conference/sessions/java/2011/09/06/java7.html
This presentation is on advanced debugging using Java bytecodes (presented in Core Java meetup on 1st October in Accion Labs). If you are a Java developer and are interested in knowing advanced debugging techniques or understanding bytecodes, this presentation is for you.
these slides are the main code samples I am using to introduce Object Oriented programming features of C# : initializers, anonymous types, extension methods, delegates, lambda & Linq
soft-shake.ch - Java SE 7: The Fork/Join Framework and Project Coinsoft-shake.ch
Julien Ponge
This talk introduces part of the Java SE 7 novelties. The fork/join framework aims at making parallel programming simpler, while Project Coin brings a set of subtle yet useful changes to the Java programming language.
http://soft-shake.ch/2011/conference/sessions/java/2011/09/06/java7.html
This presentation is on advanced debugging using Java bytecodes (presented in Core Java meetup on 1st October in Accion Labs). If you are a Java developer and are interested in knowing advanced debugging techniques or understanding bytecodes, this presentation is for you.
these slides are the main code samples I am using to introduce Object Oriented programming features of C# : initializers, anonymous types, extension methods, delegates, lambda & Linq
Для чтения не требуется почти никаких предварительных знаний, по крайней мере, ничего выходящего за рамки школьной программы. Исключение составляет только последний раздел.
While most bugs reveal their cause within their stack trace, Java’s OutOfMemoryError is less talkative and therefore regarded as being difficult to debug by a majority of developers. With the right techniques and tools, memory leaks in Java programs can however be tackled like any other programming error. This talks discusses how a JVM stores data, categorizes different types of memory leaks that can occur in a Java program and presents techniques for fixing such errors. Furthermore, we will have a closer look at lambda expressions and their considerable potential of introducing memory leaks when they are used incautiously.
--import statemnts for Random- Scanner and IO import java-util-Random-.pdfganisyedtrd
//import statemnts for Random, Scanner and IO
import java.util.Random;
import java.util.Scanner;
import java.io.*;
public class Hobbits
{
public static void main(String[] args) throws IOException
{
final int NUM_HOBBITS = 5;
final int NUM_COLUMNS = 2;
String fileName = "hobbits.csv";
//call populateHobbits( ) to create the two dimensional array
double[][] hobbits = populateHobbits(NUM_HOBBITS, NUM_COLUMNS);
//display the number of hobbits
System.out.println(hobbits.length + " hobbits accepted Gandalf's invitation to lunch\n");
//calculate the means of the columns
double[] hobbitMeans = getColMeans(hobbits);
//write hobbits array to file
writeHobbits(hobbits, fileName);
//read and display the file that has been read
readHobbitses(fileName);
//call displayColMeans to display hobbit means
displayColMeans(hobbitMeans);
}
//method to populate hobbits array with random double values
public static double[][] populateHobbits(int numHobbits, int numCols)
{
final double HT_MULTIPLIER = 10.0; //multiplier for the hobbit height
final double WT_MULTIPLIER = 250.0; //multiplier for the hobbit weight
//instantiate Random object
Random rand = new Random();
//declare two dim array with numHobbits rows numCols columns
double[][] hobbitArray = new double[numHobbits][numCols];
//assign random double values to all elements
for (int i = 0; i < numHobbits; i++) //outer loop is for rows
{
for (int j = 0; j < numCols; j++) //inner loop is for columns
{
//get a random double value in range [0.2, 0.4]
double randDouble = getRandDouble(rand);
//assign this double to the current array element
hobbitArray[i][j] = randDouble;
//determine which multiplier to use
if (j == 0) //this is column for height
hobbitArray[i][j] *= HI_MULTIPLIER;
else //this is column for weight
hobbitArray[i][j] *= WT_MULTIPLIER;
}
}
return hobbitArray; //return the two dimensional array
}
//method to write hobbits array to file
public static void writeHobbits(double[][] ar, String fileName) throws IOException
{
//open the file to write
PrintWriter outFile = new PrintWriter(fileName);
//print columen heading of the array of stats
outFile.println("HEIGHT,WEIGHT");
for (int i = 0; i < ar.length; i++)
{
for (int j = 0; j < ar[i].length; j++)
{
outFile.print(ar[i][j]);
//if at end of a row, add newline char
if (j == ar[i].length - 1)
outFile.print("\n");
else //add the "," delimiter
outFile.print(",");
} //end of inner loop
} //end of outer loop
outFile.close(); //close outfile
System.out.println("The file was successfully written\n");
} //end of method
//method to read the hobbits file
public static void readHobbitses(String fileName) throws IOException {
//open the file to read
File dataFile = new File(fileName);
Scanner inFile = new Scanner(dataFile);
//variable to contain the substrings of one line of file
String[] oneLine = new String[2];
int counter = 0; //keep track of line numbers
System.out.println("Data read from the " + fileName + " file:");
//read file, one line at a time
while (inFile.hasNe.
In this core java training session, you will learn Examples of File IO &
Introduction to JDBC. Topics covered in this session are:
• File IO Continued
• Intro to JDBC (Java Database Connectivity)
For more information about this course visit on this link: https://www.mindsmapped.com/courses/software-development/learn-java-fundamentals-hands-on-training-on-core-java-concepts/
Точечная оценка. Определение
Пример 1
Свойства точечных оценок
Несмещенность
Пример 2
Состоятельность
Эффективность
Асимптотическая нормальность
Робастность
Описательная статистика, цели. Вариационный ряд
Полигон частот
Гистограмма
Гистограмма, пример. Выбор числа интервалов
Выборочные характеристики
Характеристики положения и рассеяния
Выборочные характеристики двумерной выборки
Основные задачи математической статистики. Примеры задач
Выборка.Выборочное пространство. Примеры
Простой случайный выбор. Реальные виды выборов
Функция распределения выборки
Эмпирическая вероятностная мера
Теорема Гливенко-Кантелли
Диаграммы Юнга, плоские разбиения и знакочередующиеся матрицыDEVTYPE
Сколько есть способов разбить натуральное число в сумму нескольких слагаемых, если суммы, отличающиеся только порядком слагаемых, считаются одинаковыми? Оказывается, что на этот, казалось бы, элементарный вопрос нет простого ответа. Зато теория, начинающаяся с этого вопроса, оказывается очень интересной, а ее результаты находят применение в самых разных разделах математики и математической физики.
Настоящая брошюра написана по материалам лекций, прочитанных автором на летней школе «Современная математика» в Дубне в июле 2013 года. Она рассчитана на старшеклассников и студентов младших курсов.
Опечатки в слайдах на видео: в псевдокоде алгоритма решения непрерывной задачи о рюкзаке предметы должны сортироваться по убыванию (а не возрастанию) удельной стоимости.
- Определение чисел Фибоначчи, скорость роста
- Общая формула, экспоненциальная скорость роста
- Наивный алгоритм и анализ его времени работы
- Более быстрый алгоритм и анализ его времени работы, заключение
- Более детальный анализ алгоритма вычисления чисел Фибоначчи
- Определения O(⋅), преимущества и недостатки их использования для оценки времени работы алгоритмов
- Определения Ω(⋅),Θ(⋅),o(⋅), общие правила сравнения скорости роста стандартных функций
- Графики нескольких часто используемых функций
- Скорости часто используемых функций на практике, заключение
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdfJay Das
With the advent of artificial intelligence or AI tools, project management processes are undergoing a transformative shift. By using tools like ChatGPT, and Bard organizations can empower their leaders and managers to plan, execute, and monitor projects more effectively.
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
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Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
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.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
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See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
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.
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.
22. package java.io;
public abstract class InputStream implements Closeable {
public abstract int read () throws IOException ;
public int read(byte b[]) throws IOException {
return read(b, 0, b.length );
}
public int read(byte b[], int off , int len)
throws IOException {
// ...
}
public long skip(long n) throws IOException {
// ...
}
public void close () throws IOException {}
// ...
}
23. package java.io;
public abstract class OutputStream
implements Closeable , Flushable {
public abstract void write(int b) throws IOException ;
public void write(byte b[]) throws IOException {
write(b, 0, b.length );
}
public void write(byte b[], int off , int len)
throws IOException {
// ...
}
public void flush () throws IOException {
// ...
}
public void close () throws IOException {
// ...
}
}
24. Копирование InputStream -> OutputStream
int totalBytesWritten = 0;
byte [] buf = new byte [1024];
int blockSize;
while (( blockSize = inputStream.read(buf)) > 0) {
outputStream.write(buf , 0, blockSize );
totalBytesWritten += blockSize;
}
25. InputStream inputStream =
new FileInputStream(new File("in.txt"));
OutputStream outputStream =
new FileOutputStream(new File("out.txt"));
34. package java.io;
public abstract class Reader implements Readable , Closeable {
public int read () throws IOException {
// ...
}
public int read(char cbuf []) throws IOException {
return read(cbuf , 0, cbuf.length );
}
public abstract int read(char cbuf[], int off , int len)
throws IOException ;
public long skip(long n) throws IOException {
// ...
}
public abstract void close () throws IOException;
// ...
}
35. package java.io;
public abstract class Writer
implements Appendable , Closeable , Flushable {
public void write(int c) throws IOException {
// ...
}
public void write(char cbuf []) throws IOException {
write(cbuf , 0, cbuf.length );
}
public abstract void write(char cbuf[], int off , int len)
throws IOException ;
public abstract void flush () throws IOException;
public abstract void close () throws IOException;
// ...
}
37. Reader reader = new FileReader("in.txt");
Writer writer = new FileWriter("out.txt");
Reader reader2 = new InputStreamReader (
new FileInputStream ("in.txt"), StandardCharsets .UTF_8 );
Writer writer2 = new OutputStreamWriter (
new FileOutputStream ("out.txt"), StandardCharsets .UTF_8 );
38. Reader reader = new CharArrayReader (
new char [] {’a’, ’b’, ’c’});
Reader reader2 = new StringReader ("Hello World!");
CharArrayWriter writer = new CharArrayWriter ();
writer.write("Test");
char [] resultArray = writer. toCharArray ();
StringWriter writer2 = new StringWriter ();
writer2.write("Test");
String resultString = writer2.toString ();
39. package java.io;
public class BufferedReader extends Reader {
public BufferedReader (Reader in) {
// ...
}
public String readLine () throws IOException {
// ...
}
// ...
}
40. try ( BufferedReader reader =
new BufferedReader (
new InputStreamReader (
new FileInputStream ("in.txt"),
StandardCharsets .UTF_8 ))) {
String line;
while (( line = reader.readLine ()) != null) {
// process line
}
}
41. try ( BufferedReader reader = Files. newBufferedReader (
Paths.get("in.txt"), StandardCharsets .UTF_8 )) {
String line;
while (( line = reader.readLine ()) != null) {
// process line
}
}
List <String > lines = Files. readAllLines (
Paths.get("in.txt"), StandardCharsets .UTF_8 );
for (String line : lines) {
// process line
}
47. package java.lang;
public final class System {
public static final InputStream in = null;
public static final PrintStream out = null;
public static final PrintStream err = null;
// ...
}