Looping statements in Java include the while, do-while, and for loops. The while loop executes a statement repeatedly as long as a condition is true. The do-while loop executes a statement once before checking the condition, and continues executing as long as the condition remains true. The for loop allows initialization of a counter variable, a condition to test on each iteration, and an increment statement to execute after each iteration. Loops can become infinite if the condition is never made false, and loops can be nested by placing one loop inside the body of another.
In computer programming, a loop is a sequence of instruction s that is continually repeated until a certain condition is reached. Typically, a certain process is done, such as getting an item of data and changing it, and then some condition is checked such as whether a counter has reached a prescribed number.
In this presentation slides you will able to understand easily ,this slides contain loops of c++ programming language which contain for loop , while loop , do while loop and nested these all are describe with definition,examples and flow charts
In computer programming, a loop is a sequence of instruction s that is continually repeated until a certain condition is reached. Typically, a certain process is done, such as getting an item of data and changing it, and then some condition is checked such as whether a counter has reached a prescribed number.
In this presentation slides you will able to understand easily ,this slides contain loops of c++ programming language which contain for loop , while loop , do while loop and nested these all are describe with definition,examples and flow charts
Loop Introduction for Loop while Loop do while Loop Nested Loops Values of...imtiazalijoono
loop
Outline
• Introduction
• for Loop
• while Loop
• do while Loop
• Nested Loops
• Values of functions and assignment expressions
• break and continue Statements
Semaphore = a synchronization primitive
higher level of abstraction than locks
invented by Dijkstra in 1968, as part of the THE operating system
A semaphore is:
a variable that is manipulated through two operations, P and V (Dutch for “test” and “increment”)
P(sem) (wait/down)
block until sem > 0, then subtract 1 from sem and proceed
V(sem) (signal/up)
add 1 to sem
Do these operations atomically
All about asynchronous programming from .NET starting from initial framework to latest version. We will be looking into almost all features from .NET which are related to Asynchronous Programming. This seminar will cover up evolution of asynchronous programming and slowly moving to Task.
As more and more organizations and individual users turn to Apache Flink for their streaming workloads, there is a bigger demand for additional functionality out-of-the-box. On one hand, there is demand for more low-level APIs that allow for more control, while on the other, users ask for more high-level additions that make the common cases easier to express. This talk will present the new concepts added to the Datastream API in Flink-1.2 and for the upcoming Flink-1.3 release that tried to consolidate the aforementioned goals. We will talk, among others, about the ProcessFunction, a new low level stream processing primitive that gives the user full control over how each event is processed and can register and react to timers, changes in the windowing logic that allow for more flexible windowing strategies, side outputs, and new features concerning the Flink connectors.
http://flink-forward.org/kb_sessions/declarative-stream-processing-with-streamsql-and-cep/
Complex event processing (CEP) and stream analytics are commonly treated as distinct classes of stream processing applications. While CEP workloads identify patterns from event streams in near real-time, stream analytics queries ingest and aggregate high-volume streams. Both types of use cases have very different requirements which resulted in diverging system designs. CEP systems excel at low-latency processing whereas engines for stream analytics achieve high throughput. Recent advances in open source stream processing yielded systems that can process several millions of events per second at sub-second latency. Systems like Apache Flink enable applications that include typical CEP features as well as heavy aggregations. In this talk we will show how Apache Flink unifies CEP and stream analytics workloads. Guided by examples, we introduce Flink’s CEP-enriched StreamSQL interface and discuss how queries are compiled, optimized, and executed on Flink.
Flink Forward Berlin 2017: Matt Zimmer - Custom, Complex Windows at Scale Usi...Flink Forward
The windowing capabilities offered by most stream processing engines are limited to aligned windows of a fixed duration. However, many real-world event processing use cases don’t fit this rigid structure, resulting in awkward processing pipelines. There haven’t been good alternatives, until recently that is. Apache Flink offers a rich Window API that supports implementing unaligned windows of varying duration. In this talk, Matt Zimmer will discuss using this API at Netflix to aggregate events into windows customized along varying definitions of a session. He will talk about implementation details such as: * Handling out-of-order events * Limiting state build-up while aggregating a subset of events from an event stream * Periodically emitting early results * Creating windows bounded by a type of event Attendees will leave this talk with practical techniques and knowledge to implement their own custom windows in Apache Flink.
Loop Introduction for Loop while Loop do while Loop Nested Loops Values of...imtiazalijoono
loop
Outline
• Introduction
• for Loop
• while Loop
• do while Loop
• Nested Loops
• Values of functions and assignment expressions
• break and continue Statements
Semaphore = a synchronization primitive
higher level of abstraction than locks
invented by Dijkstra in 1968, as part of the THE operating system
A semaphore is:
a variable that is manipulated through two operations, P and V (Dutch for “test” and “increment”)
P(sem) (wait/down)
block until sem > 0, then subtract 1 from sem and proceed
V(sem) (signal/up)
add 1 to sem
Do these operations atomically
All about asynchronous programming from .NET starting from initial framework to latest version. We will be looking into almost all features from .NET which are related to Asynchronous Programming. This seminar will cover up evolution of asynchronous programming and slowly moving to Task.
As more and more organizations and individual users turn to Apache Flink for their streaming workloads, there is a bigger demand for additional functionality out-of-the-box. On one hand, there is demand for more low-level APIs that allow for more control, while on the other, users ask for more high-level additions that make the common cases easier to express. This talk will present the new concepts added to the Datastream API in Flink-1.2 and for the upcoming Flink-1.3 release that tried to consolidate the aforementioned goals. We will talk, among others, about the ProcessFunction, a new low level stream processing primitive that gives the user full control over how each event is processed and can register and react to timers, changes in the windowing logic that allow for more flexible windowing strategies, side outputs, and new features concerning the Flink connectors.
http://flink-forward.org/kb_sessions/declarative-stream-processing-with-streamsql-and-cep/
Complex event processing (CEP) and stream analytics are commonly treated as distinct classes of stream processing applications. While CEP workloads identify patterns from event streams in near real-time, stream analytics queries ingest and aggregate high-volume streams. Both types of use cases have very different requirements which resulted in diverging system designs. CEP systems excel at low-latency processing whereas engines for stream analytics achieve high throughput. Recent advances in open source stream processing yielded systems that can process several millions of events per second at sub-second latency. Systems like Apache Flink enable applications that include typical CEP features as well as heavy aggregations. In this talk we will show how Apache Flink unifies CEP and stream analytics workloads. Guided by examples, we introduce Flink’s CEP-enriched StreamSQL interface and discuss how queries are compiled, optimized, and executed on Flink.
Flink Forward Berlin 2017: Matt Zimmer - Custom, Complex Windows at Scale Usi...Flink Forward
The windowing capabilities offered by most stream processing engines are limited to aligned windows of a fixed duration. However, many real-world event processing use cases don’t fit this rigid structure, resulting in awkward processing pipelines. There haven’t been good alternatives, until recently that is. Apache Flink offers a rich Window API that supports implementing unaligned windows of varying duration. In this talk, Matt Zimmer will discuss using this API at Netflix to aggregate events into windows customized along varying definitions of a session. He will talk about implementation details such as: * Handling out-of-order events * Limiting state build-up while aggregating a subset of events from an event stream * Periodically emitting early results * Creating windows bounded by a type of event Attendees will leave this talk with practical techniques and knowledge to implement their own custom windows in Apache Flink.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
2. Repetition Statements
• Repetition statements allow us to execute a statement multiple
times
• Often they are referred to as loops
• Like conditional statements, they are controlled by boolean
expressions
• Java has three kinds of repetition statements:
– the while loop
– the do loop
– the for loop
3. The while Statement
• A while statement has the following syntax:
while ( condition ){statement; }
• If the condition is true, the statement is executed
• Then the condition is evaluated again, and if it is still true, the statement is executed again
• The statement is executed repeatedly until the condition becomes false
4. Logic of a while Loop
statement
true false
condition
evaluated
5. The while Statement
• An example of a while statement:
int count = 1; while (count <= 5){
System.out.println (count);
count++; }
• If the condition of a while loop is false initially, the statement is never executed
• Therefore, the body of a while loop will execute zero or more times
6. The while Statement
• Let's look at some examples of loop processing
• A loop can be used to maintain a running sum
• A sentinel value is a special input value that represents the end of input
• A loop can also be used for input validation, making a program more
robust
7. Infinite Loops
• The body of a while loop eventually must make the condition false
• If not, it is called an infinite loop, which will execute until the user interrupts the
program
• This is a common logical (semantic) error
• You should always double check the logic of a program to ensure that your
loops will terminate normally
8. Infinite Loops
• An example of an infinite loop:
int count = 1;
while (count <= 25){
System.out.println (count);
count = count - 1; }
• This loop will continue executing until interrupted (Control-C) or until an underflow error occurs
9. Nested Loops
• Similar to nested if statements, loops can be nested as well
• That is, the body of a loop can contain another loop
• For each iteration of the outer loop, the inner loop iterates completely
• Your second course project involves a while loop nested inside of a for loop
10. Nested Loops
• How many times will the string "Here" be printed?
count1 = 1; while (count1 <= 10){
count2 = 1;
while (count2 <= 20) {
System.out.println ("Here");
count2++;
} count1++;
}
10 * 20 = 200
11. The do-while Statement
• A do-while statement (also called a do loop) has the following syntax:
do{statement; }while ( condition )
• The statement is executed once initially, and then the condition is
evaluated
• The statement is executed repeatedly until the condition becomes false
12. Logic of a do-while Loop
condition
evaluated
statement
false
13. The do Statement
• An example of a do loop:
int count = 0;
do{ count++;
System.out.println (count);
} while (count < 5);
+The body of a do loop executes at least once
14. The for Statement
• A for statement has the following syntax:
+ The initialization The statement is is executed once
executed until the
+before the loop begins condition becomes false
+for ( initialization ; condition ; increment ){
+ statement;
+}
+The increment portion is executed at the end of
each
+iteration
15. Logic of a for loop
statement
true
condition
evaluated
false
increment
initialization
16. The for Statement
• A for loop is functionally equivalent to the following while
loop structure:
+initialization; while (
condition ){
statement; increment;
+}
17. The for Statement
• An example of a for loop:
+for (int count=1; count <= 5; count++){
+ System.out.println (count);
+}
• The initialization section can be used to declare a variable
• Like a while loop, the condition of a for loop is tested prior to
executing the loop body
18. The for Statement
• Therefore, the body of a for loop will execute zero or more
times
• The increment section can perform any
+ calculationfor (int num=100; num > 0; num -= 5){
System.out.println (num);
+}
• A for loop is well suited for executing statements a specific
number of times that can be calculated
19. The for Statement
• Each expression in the header of a for loop is optional
• If the initialization is left out, no initialization is performed
• If the condition is left out, it is always considered to be true,
and therefore creates an infinite loop
+– We usually call this a “forever loop”
• If the increment is left out, no increment operation is performed