The document discusses functional programming concepts like pure functions, higher order functions, currying, and monads and how they can be applied in JavaScript. It provides examples of transforming iterative array methods like map, filter, and reduce into functional style code using pure functions. While functional programming aims to avoid side effects, the document notes that side effects cannot be fully avoided in JavaScript and functional style is more of a mindset of keeping pieces small and interactions simple.
Publish & Subscribe to events using an Event AggregatorLars-Erik Kindblad
These slides gives guides you through what the Publish-Subscribe pattern is, how to create an Event Aggregator, how you can use it in the UI and in other layers and 2 code samples that refactors from a non pub-sub architecture to a pub-sub architecture.
Build Low-Latency Applications in Rust on ScyllaDBScyllaDB
Join us for a developer workshop where we’ll go hands-on to explore the affinities between Rust, the Tokio framework, and ScyllaDB. You’ll go live with our sample Rust application, built on our new, high performance native Rust client driver.
Steps of Learning Programming Language. and much more with and easy way. Like ---
History of C language, What is C, Step by step procedure to learn C language with interview questions.
C, C language ppt, Learn C, Basic C, What is C?, How to learn C, language, programming language ppt, OOPs, POOPs, Learn C ppt, C ppt, C Program, first program, Variable in C, Keyword in C, constant in C ?
Recently, our iOS team has prepared a report on the Combine Framework. We’ve discussed using the Combine framework, announced by Apple in 2019, while working with asynchronous code and how to use the delegate-pattern and callbacks as an alternative.
We’ve covered the following:
▪️ The comparison of Combine with other reactive paradigms, such as Rx and ReactiveSwift
▪️ Such entities as Publisher, Subscriber, Subject, Subscription, Scheduler
Lifecycle subscription and Backpressure work
▪️ Operators work
▪️ Debugging of the Reactive approach
▪️ Error handling
▪️ Usage of Combine with Foundation
▪️ Practical usage of Combine in typical situations
The report will be useful to those who:
▪️ Wants to stop using third-party dependencies such as Rx and ReactiveSwift
▪️ Wants to follow a declarative approach to programming in the future, but with a native framework.
Publish & Subscribe to events using an Event AggregatorLars-Erik Kindblad
These slides gives guides you through what the Publish-Subscribe pattern is, how to create an Event Aggregator, how you can use it in the UI and in other layers and 2 code samples that refactors from a non pub-sub architecture to a pub-sub architecture.
Build Low-Latency Applications in Rust on ScyllaDBScyllaDB
Join us for a developer workshop where we’ll go hands-on to explore the affinities between Rust, the Tokio framework, and ScyllaDB. You’ll go live with our sample Rust application, built on our new, high performance native Rust client driver.
Steps of Learning Programming Language. and much more with and easy way. Like ---
History of C language, What is C, Step by step procedure to learn C language with interview questions.
C, C language ppt, Learn C, Basic C, What is C?, How to learn C, language, programming language ppt, OOPs, POOPs, Learn C ppt, C ppt, C Program, first program, Variable in C, Keyword in C, constant in C ?
Recently, our iOS team has prepared a report on the Combine Framework. We’ve discussed using the Combine framework, announced by Apple in 2019, while working with asynchronous code and how to use the delegate-pattern and callbacks as an alternative.
We’ve covered the following:
▪️ The comparison of Combine with other reactive paradigms, such as Rx and ReactiveSwift
▪️ Such entities as Publisher, Subscriber, Subject, Subscription, Scheduler
Lifecycle subscription and Backpressure work
▪️ Operators work
▪️ Debugging of the Reactive approach
▪️ Error handling
▪️ Usage of Combine with Foundation
▪️ Practical usage of Combine in typical situations
The report will be useful to those who:
▪️ Wants to stop using third-party dependencies such as Rx and ReactiveSwift
▪️ Wants to follow a declarative approach to programming in the future, but with a native framework.
Introducing Spring Auto REST Docs - Spring IO 2017Florian Benz
This talk introduces Spring Auto REST Docs, an extension to Spring REST Docs that helps you write less and get more. We have been using and evolving our Spring REST Docs extension for over 1.5 years and recently open sourced it: https://github.com/ScaCap/spring-auto-restdocs Spring Auto REST Docs uses tests, introspection and Javadoc to automatically document request and response parameters. We will look at how much work this saved and how it increased the quality of our documentation. Sprint Auto REST Docs proposes a tight coupling of code and documentation. This way we make it easy to add documentation in the first place, and to keep it up to date as your platform evolves. During the presentation, we give instructions on how to use the extension and discuss pros and cons of the proposed approach. We will present our own system as a real-life implementation and highlight the benefits of reusing tests, bean validation and Javadoc together with the freedom of AsciiDoc to generate documentation.
For further reading: https://dzone.com/articles/introducing-spring-auto-rest-docs
Project documentation: https://scacap.github.io/spring-auto-restdocs/
Project: https://github.com/ScaCap/spring-auto-restdocs
Auditing System Password Using L0phtcrackVishal Kumar
The objective of this presentation is to help peoples to learn how to use L0htCrack tool to attain and crack the user password from any Windows Machine.
Qt Application Programming with C++ is one of the best Qt QML training and courses in Bangalore India. This workshop is ideal for anyone who want to get started with developing GUI Application using Qt framework. Starting with basics, this workshop covers developing multi-threaded, multimedia and 2D graphics based applications with multiple Do-It-Yourself (DIY) exercises.
loops play a vital role in any programming language, they allow the programmer to write more readable and effective code. The looping concept also allows us to reduce the number of lines.
Installing and Using Python
Basic I/O
Variables and Expressions
Conditional Code
Functions
Loops and Iteration
Python Data Structures
Errors and Exceptions
Object Oriented with Python
Multithreaded Programming with Python
Install/Create and Using Python Library
Compile Python Script
Resources
===========================
and 7 Quizzes
C++ Searching & Sorting5. Sort the following list using the select.pdfRahul04August
C++ Searching & Sorting
5. Sort the following list using the selection sort algorithm. Show the list after each iteration of
the outerforloop.
36, 55, 17, 35, 63, 85, 12, 48, 3, 66
6. Consider the following list: 5, 18, 21, 10, 55, 20
The first three keys are in order. To move 10 to its proper position using the insertion sort as
described in this chapter, exactly how many key comparisons are executed?
7. Consider the following list: 7, 28, 31, 40, 5, 20
The first four keys are in order. To move 5 to its proper position using the insertion sort as
described in this chapter, exactly how many key comparisons are executed?
8. Consider the following list: 28, 18, 21, 10, 25, 30, 12, 71, 32, 58, 15
This list is to be sorted using the insertion sort algorithm. Show the resulting list after six
passes of the sorting phase – that is, after six iterations of the for loop.
9. Perform the insertion sort algorithm using the following list of keys: 18, 8, 11, 9, 15, 20, 32,
61, 22, 48, 75, 83, 35, 3
Show the list after each iteration. Exactly how many key comparisons are executed to sort this
list using insertion sort?
10. a. The performance of bubble sort can be improved if we stop the sorting process as soon as
we find that in an iteration, no swapping of elements takes place. Write a function that
implements bubble sort algorithm using this fact.
b. Using the algorithm that you designed in part (a), find the number of iterations that are needed
to sort the list: 65, 14, 52, 43, 75, 25, 80, 90, 95.
11. Suppose that L is a sorted list of 4096 elements. What is the maximum number of
comparisons made by binary search to determine whether an item is in L?
12. Suppose that the elements of a list are in descending order, and they need to be put in
ascending order. Write a C++ function that takes as input an array of items in descending order
and the number of elements in the array. The function must not incorporate any sorting
algorithms, that is, no item comparisons should take place.
Solution
# include
# include
# include
#include
#include
#include
#include
// Function related to sorting in class sorting
class sorting
{
int array[50],array1[50],final[100],i,n,m,j;
public:
// Function to read an array
void read();
// Function to read arrays for merge sort
void read_mer();
// Function to display an array
void display();
// Function to perform bubble sort
void bub_sort();
// Function to perform selection sort
void Sel_sort();
// Function to perform insertion sort
void Ins_sort();
// Function to perform quick sort
void Qui_sort();
// Function to perform heap sort
void Heap_sort();
// Function to build a heap
void heap(int array[], int n);
// Function to interchange the value of root node with a
// child node in heap sort
void below_heap(int array[], int first, int last);
// Function to perform merges sort
void Mer_sort();
// Function to perform shell sort
void Shell_sort();
// Function to split the array into two halves during quick sort
void partition(int arra.
Introducing Spring Auto REST Docs - Spring IO 2017Florian Benz
This talk introduces Spring Auto REST Docs, an extension to Spring REST Docs that helps you write less and get more. We have been using and evolving our Spring REST Docs extension for over 1.5 years and recently open sourced it: https://github.com/ScaCap/spring-auto-restdocs Spring Auto REST Docs uses tests, introspection and Javadoc to automatically document request and response parameters. We will look at how much work this saved and how it increased the quality of our documentation. Sprint Auto REST Docs proposes a tight coupling of code and documentation. This way we make it easy to add documentation in the first place, and to keep it up to date as your platform evolves. During the presentation, we give instructions on how to use the extension and discuss pros and cons of the proposed approach. We will present our own system as a real-life implementation and highlight the benefits of reusing tests, bean validation and Javadoc together with the freedom of AsciiDoc to generate documentation.
For further reading: https://dzone.com/articles/introducing-spring-auto-rest-docs
Project documentation: https://scacap.github.io/spring-auto-restdocs/
Project: https://github.com/ScaCap/spring-auto-restdocs
Auditing System Password Using L0phtcrackVishal Kumar
The objective of this presentation is to help peoples to learn how to use L0htCrack tool to attain and crack the user password from any Windows Machine.
Qt Application Programming with C++ is one of the best Qt QML training and courses in Bangalore India. This workshop is ideal for anyone who want to get started with developing GUI Application using Qt framework. Starting with basics, this workshop covers developing multi-threaded, multimedia and 2D graphics based applications with multiple Do-It-Yourself (DIY) exercises.
loops play a vital role in any programming language, they allow the programmer to write more readable and effective code. The looping concept also allows us to reduce the number of lines.
Installing and Using Python
Basic I/O
Variables and Expressions
Conditional Code
Functions
Loops and Iteration
Python Data Structures
Errors and Exceptions
Object Oriented with Python
Multithreaded Programming with Python
Install/Create and Using Python Library
Compile Python Script
Resources
===========================
and 7 Quizzes
C++ Searching & Sorting5. Sort the following list using the select.pdfRahul04August
C++ Searching & Sorting
5. Sort the following list using the selection sort algorithm. Show the list after each iteration of
the outerforloop.
36, 55, 17, 35, 63, 85, 12, 48, 3, 66
6. Consider the following list: 5, 18, 21, 10, 55, 20
The first three keys are in order. To move 10 to its proper position using the insertion sort as
described in this chapter, exactly how many key comparisons are executed?
7. Consider the following list: 7, 28, 31, 40, 5, 20
The first four keys are in order. To move 5 to its proper position using the insertion sort as
described in this chapter, exactly how many key comparisons are executed?
8. Consider the following list: 28, 18, 21, 10, 25, 30, 12, 71, 32, 58, 15
This list is to be sorted using the insertion sort algorithm. Show the resulting list after six
passes of the sorting phase – that is, after six iterations of the for loop.
9. Perform the insertion sort algorithm using the following list of keys: 18, 8, 11, 9, 15, 20, 32,
61, 22, 48, 75, 83, 35, 3
Show the list after each iteration. Exactly how many key comparisons are executed to sort this
list using insertion sort?
10. a. The performance of bubble sort can be improved if we stop the sorting process as soon as
we find that in an iteration, no swapping of elements takes place. Write a function that
implements bubble sort algorithm using this fact.
b. Using the algorithm that you designed in part (a), find the number of iterations that are needed
to sort the list: 65, 14, 52, 43, 75, 25, 80, 90, 95.
11. Suppose that L is a sorted list of 4096 elements. What is the maximum number of
comparisons made by binary search to determine whether an item is in L?
12. Suppose that the elements of a list are in descending order, and they need to be put in
ascending order. Write a C++ function that takes as input an array of items in descending order
and the number of elements in the array. The function must not incorporate any sorting
algorithms, that is, no item comparisons should take place.
Solution
# include
# include
# include
#include
#include
#include
#include
// Function related to sorting in class sorting
class sorting
{
int array[50],array1[50],final[100],i,n,m,j;
public:
// Function to read an array
void read();
// Function to read arrays for merge sort
void read_mer();
// Function to display an array
void display();
// Function to perform bubble sort
void bub_sort();
// Function to perform selection sort
void Sel_sort();
// Function to perform insertion sort
void Ins_sort();
// Function to perform quick sort
void Qui_sort();
// Function to perform heap sort
void Heap_sort();
// Function to build a heap
void heap(int array[], int n);
// Function to interchange the value of root node with a
// child node in heap sort
void below_heap(int array[], int first, int last);
// Function to perform merges sort
void Mer_sort();
// Function to perform shell sort
void Shell_sort();
// Function to split the array into two halves during quick sort
void partition(int arra.
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..
JDD 2016 - Philippe Charrière - Golo, The Tiny Language That Gives Super PowersPROIDEA
Golo is a little dynamic language for the JVM
Golo is built from the first day with invokedynamic
Golo is light (~700 kb) and fast
I'm not a Java Ninja, nor an invokedynamic Ninja, however I can do a lot of (greats) things easily with Golo.
I'm not a Java Ninja, nor an invokedynamic Ninja, however I can do a lot of (great) things easily with Golo.
Golo is easy to learn, to use and to hack
I will present:
- The basics of Golo
- Some specific features of Golo (DynamicObjects, Structures, Functional Types)
- How Golo loves Java and how you can easily develop tools (like small DSL: I use Golo scripts to prepare my GitHub Demonstrations for customers, or even to simulate a CI server)
- And I think I'm not a good developer (but not the worst either), but I can hack Golo and I will explain to you how simple it is
#include
#include
using namespace std;
//global variable declaration
int a[10];
int active, size;
void menu() {//prints menu
cout << \"menu\" << endl;
cout << \"1.Insert \\\"Insert\\\" key\" << endl; //code 45
cout << \"2.Delete \\\"Delete\\\" key\" << endl; //code 46
cout << \"3.Sort \\\"F2\\\" key\" << endl; //code 113
cout << \"4.Select \\\"Down Arrow\\\" key\" << endl; //code 40
cout << \"5.Move Right \\\"Right Arrow\\\" key\" << endl; //code 39
cout << \"6.Move Left \\\"Left Arrow\\\" key\" << endl; //code 37
cout << \"7.Exit \\\"F1\\\" key\" << endl; //code 112
cout << \"press the required key or number to continue\" << endl;
}
//reads the data from file
void readdata() {
ifstream f;
f.open(\"F://MyFile.txt\");
if (f.is_open()) {
f>>size;
f>>active;
if (size > 10) {
cout << \"Numbers exceeds array limit\";
return;
} else {
for (int i = 0; i < size; i++) {
f >> a[i];
}
}
f.close();
}
}
//sorts the data
void sort() {
//sorting using bubble sort
int pass = 0, so = 0, t, i;
while ((pass <= size - 1) && (so == 0)) {
so = 1;
for (i = 0; i < size - 1 - pass; i++) {
if (a[i] > a[i + 1]) {
t = a[i];
a[i] = a[i + 1];
a[i + 1] = t;
so = 0;
}
}
pass = pass + 1;
}
}
//prints the data
void print() {
cout<<\"\ \";
for (int i = 0; i < size; i++) {
cout << a[i] << \"\\t\";
}
cout << \"Active=\" << active << endl;
}
//writes the data into the file
void writedata() {
ofstream f;
f.open(\"F://MyFile.txt\");
f << size << endl;
f << active << endl;
for (int i = 0; i < size; i++) {
f << a[i] << \" \";
}
f.close();
}
//inserts an element in array and makes it active
void insert() {
if (size == 10)//checks if the list is full
cout << \"list is full\";
else {
int x, i;
cout << \"Enter a number to insert: \";//takes user input
cin>>x;
for (i = 0; i < size; i++) {
if (a[i] == active)//finds active index
break;
}
size++;//increment the size
int y = size;
while (y != i) {//shifting
a[y] = a[y - 1];
y--;
}
a[i] = x;//insert
active = x;//sets active
}
}
//deletes the active value and sets the next one as active
void del() {
int i;
for (i = 0; i < size; i++) {//finds active index
if (a[i] == active)
break;
}
active = a[i + 1]; //sets the next one as active
while (i < size - 1) {//shifting
a[i] = a[i + 1];
i++;
}
size--;//decrements the size
}
//changes the active value
void select() {
int i;
for (i = 0; i < size; i++) {
if (a[i] == active)//finds active index
break;
}
if (i == size - 1)
active = a[0]; //selects the first one as active
else
active = a[i + 1]; //sets the next one as active
}
//moves the active value to its left
void moveleft() {
int i;
for (i = 0; i < size; i++) {
if (a[i] == active)
break;
}
if (i == 0)
cout << \"moving left is not possible\"; //selects the first one as active
else
{ int temp = a[i - 1];
a[i-1]=a[i];
a[i]=temp;
//moves the active value to the left of the previous element by swapping
}
}
//moves the active value to its right
void moveright() {
int i;
for (i = 0; i < size; i++) {
if (a[i] == active)
break;
}
if (i == size - 1)
cout << \"m.
Using functional concepts in Python. Introduction to functional programming and exploring each of the concepts, like map, filter and reduce in detail and how functional programming can help creating massively parallel software systems
Refer to my progress on this assignment belowIn this problem you w.pdfarishmarketing21
Refer to my progress on this assignment below
In this problem you will make it “more” object-oriented in the following ways:
-You will change its name to SortedList
-You will change the constructor that takes no arguments to be more traditional and initialize the
member fields to dummy values.
-You will add a constructor that takes in an initialized array and a size
-You will add an insert function that adds a value to the list and maintains its sorted-ness
-You will add a quicksort function check the below code.
-You will make updates as necessary to the main function so that it still runs and tests your code.
The code below seems to sort correctly but it skips over some items in the array and I am not
sure what is happening. Please help! Thanks!
import java.util.Scanner;
class SortedList
{
private static int array[];
private static int n;
public SortedList()
{
Scanner in = new Scanner(System.in);
System.out.println(\"Enter number of elements\");
n = in.nextInt();
array = new int[n];
if(n == 0) {
System.out.print(\"Since no arguments array set to: \");
} else {
System.out.print(\"Creating array size \" + n + \": \");
}
for(int i = 0; i < n; i++)
{
array[i] = 0;
}
//System.out.println(\"Enter \" + n + \" integers in ascending order\");
/*for (c = 0; c < n; c++)
array[c] = in.nextInt();*/
for(int i = 0; i < n; i++)
{
System.out.print(array[i] + \" \");
}
System.out.print(\"\ \");
}
public SortedList(int a[], int size)
{
array = a;
n = size;
}
public int binsearch(int search)
{
int first, last, middle;
first = 0;
last = n - 1;
middle = (first + last)/2;
while( first <= last )
{
if ( array[middle] < search )
first = middle + 1;
else if ( array[middle] == search )
{
//System.out.println(search + \" found at location \" + (middle + 1) + \".\");
return middle+1;//+1 for the non-CS people who don\'t start counting at zero.
}
else
last = middle - 1;
middle = (first + last)/2;
}
return -1;
//System.out.println(search + \" is not present in the list.\ \");
}
public static int partition(int input[], int p, int r)
{
int pivot = input[r];
while(p < r)
{
while(input[p] < pivot)
{
p++;
}
while(input[r] > pivot)
{
r--;
}
if(input[p] == input[r])
{
p++;
}
else if(p < r)
{
int tmp = input[p];
input[p] = input[r];
input[r] = tmp;
}
}
return r;
}
public static void quicksort(int input[], int p, int r)
{
if(p < r)
{
int j = partition(input, p, r);
quicksort(input, p, j-1);
quicksort(input, j+1, r);
}
}
public static void insert(int value, int cell)
{
array[cell] = value;
quicksort(array, 0, n-1);
}
public static void main(String args[])
{
int c;
Scanner in = new Scanner(System.in);
SortedList b = new SortedList();
System.out.println(\"Input numbers\");
for(int i = 0; i < n; i++)
{
c = in.nextInt();
in.nextLine();
insert(c, i);
}
in.close();
for(int j = 0; j < n; j++)
{
System.out.print(array[j] + \", \");
}
}
}
Solution
//the whole program that you wrote is correct except one line , when you call the quicksort
everytime you insert a //value dont pass n pass the i.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
17. "The programmers in that segment like
functional programming because it makes
code clearer, better structured, and it
prevents many classes of errors."
Scala founder Martin Odersky
22. "The programmers in that segment like
functional programming because it makes
code clearer, better structured, and it
prevents many classes of errors."
Scala founder Martin Odersky
37. let list = [1,2,3,4,5];
//Add 1 to each item...
for(let i = 0; i<list.length; i++){
list[i] = list[i] + 1;
}
console.log(list);
For loop example
38. let list = [1,2,3,4,5];
//Add 1 to each item...
for(let i = 0; i<list.length; i++){
list[i] = list[i] + 1;
}
console.log(list); // [ 2, 3, 4, 5, 6 ]
For loop example
39. let list = [1,2,3,4,5];
//Add 1 to each item...
for(let i = 0; i<list.length; i++){
list[i] = list[i] + 1;
}
console.log(list); // [ 2, 3, 4, 5, 6 ]
For loop example
Iteration Code
40. let list = [1,2,3,4,5];
//Add 1 to each item...
for(let i = 0; i<list.length; i++){
list[i] = list[i] + 1;
}
console.log(list); // [ 2, 3, 4, 5, 6 ]
For loop example
Worker Code
53. Evaluation of the result does not cause any semantically
observable side effect or output, such as mutation of
mutable objects or output to I/O devices
Pure Function
54. let sum = 0;
function add(a){sum = sum + a}; // Not pure
55. Its not a ruleLess Brain PowerLess to track
Why pure?
56. let list = [1,2,3,4,5];
//Add 1 to each item...
list.map(function(item){return item+1});
console.log(list);
Add you function in!
Worker Code
57. let list = [1,2,3,4,5];
//Add 1 to each item...
list.map((item)=>{return item+1});
console.log(list);
Arrow functions!
Worker Code
58. let list = [1,2,3,4,5];
//Add 1 to each item...
list.map(item=>item+1);
console.log(list);
Simpler!
Worker Code
59. let list = [1,2,3,4,5];
//Add 1 to each item...
list.map(item=>item+1);
console.log(list);
This looks nice but can be unclear!
60. let list = [1,2,3,4,5];
let addOne = item=>item+1
//Add 1 to each item...
list.map(addOne);
console.log(list);
No anonymous functions
61. let list = [1,2,3,4,5];
//Add 1 to each item...
for(let i = 0; i<list.length; i++){
list[i] = list[i] + 1;
}
console.log(list); // [ 2, 3, 4, 5, 6 ]
62. let list = [1,2,3,4,5];
let addOne = item=>item+1
list.map(addOne);
console.log(list);
69. Filter items!
let list = [1,2,3,4,5];
let isEven = item=>{return !(item%2)}
list = list.filter(isEven);
console.log(list); // [ 2, 4 ]
70. let list = [1,2,3,4,5];
let sum = 0;
for(let i = 0; i<list.length; i++){
sum = list[i] + sum;
}
console.log(list); // 15
Not everything is self contained…..
71. let list = [1,2,3,4,5];
let sumList = (sum, item)=>{return sum + item};
const sum= list.reduce(sumList, 0);
console.log(sum);
73. let list = [1,2,3,4,5];
let addOne = item=>item+1;
let sumList = (sum,item)=>{return item + sum};
let val = list.map(addOne).reduce(sumList, 0);
console.log(val); // 20
74. let list = [1,2,3,4,5];
let addOne = item=>item+1;
let sumList = (sum,item)=>{return item + sum};
let val = list.map(addOne).reduce(sumList, 0);
console.log(val); // 20
76. Find Items
let list = ['jon','jack','Rachel','Susan','Sarah'];
let getPerson = item=>item==='Rachel';
const item = list.find(getPerson);
console.log(item);
77. Find Items
let list = ['jon','jack','Rachel','Susan','Sarah'];
let getPerson = item=>item==='Rachel';
const item = list.find(getPerson ('Rachel'));
console.log(item);
78. In mathematics and computer science, a higher-order
function (also functional, functional form or functor) is
a function that does at least one of the following: takes one
or more functions as arguments (i.e., procedural
parameters), returns a function as its result.
Higher Order Functions
79. Find Items
let list = ['jon','jack','Rachel','Susan','Sarah'];
let getPerson = function(search){return item=>item===search;}
const item = list.find(getPerson('Rachel'));
console.log(item); // Rachel
80. Find Items
let list = ['jon','jack','Rachel','Susan','Sarah'];
let getPerson = search=>item=>item===search;
const item = list.find(getPerson('Rachel'));
console.log(item); // Rachel
81. Find items!
let list = ['jon','jack','Rachel','Susan','Sarah'];
let getPerson = search=>item=>item===search;
const item = list.findIndex(getPerson('Rachel'));
console.log(item); // 2
84. In mathematics and computer science, currying is the technique
of translating the evaluation of a function that takes multiple
arguments (or a tuple of arguments) into evaluating a sequence
of functions, each with a single argument.
Currying
98. Once you understand Monads, you can no longer explain
them to someone who does not…
Crockford’s Law
99. In functional programming, a monad is a design pattern that defines how functions, actions,
inputs, and outputs can be used together to build generic types, with the following
organization:
1. Define a data type, and how values of that data type are combined.
2. Create functions that use the data type, and compose them together into actions,
following the rules defined in the first step.
Monad
100. Monads are things that get around the “no side effects”
rule…
Monad
105. function Identity(value) {
this.value = value;
}
Identity.prototype.bind = function(transform) {
return transform(this.value);
};
var x = new Identity(5);
x = x.bind((value)=> new Identity(value+2));
console.log(x.value); // 7
106. Monads are not required
in JavaScript…
we can have side effects…
107. "The programmers in that segment like
functional programming because it makes
code clearer, better structured, and it
prevents many classes of errors."
Scala founder Martin Odersky
109. function Identity(value) {
this.value = value;
}
Identity.prototype.bind = function(transform) {
return transform(this.value);
};
var x = new Identity(5);
x = x.bind((value)=> new Identity(value+2));
console.log(x.value); //8
110. function Identity(value) {
this.value = value;
}
Identity.prototype.bind = function(transform) {
return transform(this.value);
};
var x = new Identity(5);
x = x.bind((value)=> new Identity(value+2));
x.value = 5 // <- this
console.log(x.value); // ?