This is an intermediate conversion course for C++, suitable for second year computing students who may have learned Java or another language in first year.
Abstract: This workshop teaches basic algorithms in whiteboarding interviews. All the code examples are in Python and the course has dual purpose teaching basic Python programming.
Scala 3 Is Coming: Martin Odersky Shares What To KnowLightbend
Join Dr. Martin Odersky, the creator of Scala and co-founder of Lightbend, on a tour of what is in store and highlight some of his favorite features of Scala 3!
Abstract: This workshop teaches basic algorithms in whiteboarding interviews. All the code examples are in Python and the course has dual purpose teaching basic Python programming.
Scala 3 Is Coming: Martin Odersky Shares What To KnowLightbend
Join Dr. Martin Odersky, the creator of Scala and co-founder of Lightbend, on a tour of what is in store and highlight some of his favorite features of Scala 3!
Stuck with your Ruby Programming Assignment. Get 24/7 help from tutors with Phd in the subject. Email us at support@helpwithassignment.com
Reach us at http://www.HelpWithAssignment.com
An invited talk by Xavier Leroy explaining the current state of OCaml at the OCaml Users and Developers Workshop 2014. http://ocaml.org/meetings/ocaml/2014/
Introduction To TensorFlow | Deep Learning Using TensorFlow | CloudxLabCloudxLab
( Machine Learning & Deep Learning Specialization Training: https://goo.gl/6n3vko )
This CloudxLab TensorFlow tutorial helps you to understand TensorFlow in detail. Below are the topics covered in this tutorial:
1) Why TensorFlow?
2) What are Tensors?
3) What is TensorFlow?
4) Creating your First Graph
5) Linear Regression with TensorFlow
6) Implementing Gradient Descent using TensorFlow
7) Implementing Gradient Descent Using autodiff
8) Implementing Gradient Descent Using an Optimizer
9) Graph Visualization using TensorBoard
10) Name Scopes in TensorFlow
11) Modularity in TensorFlow
12) Sharing Variables in TensorFlow
This is an intermediate conversion course for C++, suitable for second year computing students who may have learned Java or another language in first year.
Stuck with your Ruby Programming Assignment. Get 24/7 help from tutors with Phd in the subject. Email us at support@helpwithassignment.com
Reach us at http://www.HelpWithAssignment.com
An invited talk by Xavier Leroy explaining the current state of OCaml at the OCaml Users and Developers Workshop 2014. http://ocaml.org/meetings/ocaml/2014/
Introduction To TensorFlow | Deep Learning Using TensorFlow | CloudxLabCloudxLab
( Machine Learning & Deep Learning Specialization Training: https://goo.gl/6n3vko )
This CloudxLab TensorFlow tutorial helps you to understand TensorFlow in detail. Below are the topics covered in this tutorial:
1) Why TensorFlow?
2) What are Tensors?
3) What is TensorFlow?
4) Creating your First Graph
5) Linear Regression with TensorFlow
6) Implementing Gradient Descent using TensorFlow
7) Implementing Gradient Descent Using autodiff
8) Implementing Gradient Descent Using an Optimizer
9) Graph Visualization using TensorBoard
10) Name Scopes in TensorFlow
11) Modularity in TensorFlow
12) Sharing Variables in TensorFlow
This is an intermediate conversion course for C++, suitable for second year computing students who may have learned Java or another language in first year.
Video and related blog posts at fsharpforfunandprofit.com/ettt
Follow along as I ridiculously over-engineer a simple game to demonstrate how functional programming can be used to create a real-world "enterprise-ready" application.
Topics covered include: encoding business rules into types, data hiding with parametric polymorphism, using functions for capability-based security, exposing a REST API with HATEAOS, the functional approach to logging, actors, scalability and more.
Pizza is a language that extends Java (1.4) with first-class functions, pattern matching and generics. Although dated, a closer look into the compiler is interesting.
Functional Programming Patterns (NDC London 2014)Scott Wlaschin
(video of these slides available here http://fsharpforfunandprofit.com/fppatterns/)
In object-oriented development, we are all familiar with design patterns such as the Strategy pattern and Decorator pattern, and design principles such as SOLID.
The functional programming community has design patterns and principles as well.
This talk will provide an overview of some of these, and present some demonstrations of FP design in practice.
Expressjs basic to advance, power by Node.jsCaesar Chi
introduce express framework, a node.js web framework. Anyone if you try using node.js, should be know express framework. However did you really know about Expressjs. This slide will give you a totally common sense in Expressjs.
This is an intermediate conversion course for C++, suitable for second year computing students who may have learned Java or another language in first year.
Templates
Generic Programming with Templates
Need for Templates
Definition of class Templates
Normal Function Templates
Over Loading of Template Function
Bubble Sort Using Function Templates
Difference Between Templates and Macros
Linked Lists with Templates
Exception Handling
Principles of Exception Handling
The Keywords try throw and catch
Multiple Catch Statements
Specifying Exceptions
Presentation with a brief history of C, C++ and their ancestors along with an introduction to latest version C++11 and futures such as C++17. The presentation covers applications that use C++, C++11 compilers such as LLVM/Clang, some of the new language features in C++11 and C++17 and examples of modern idioms such as the new form compressions, initializer lists, lambdas, compile time type identification, improved memory management and improved standard library (threads, math, random, chrono, etc). (less == more) || (more == more)
Meeple centred design - Board Game AccessibilityMichael Heron
Delivered at the UK Games Expo on Friday 1st of June, 2018 . In this seminar, Dr Michael Heron and Pauline Belford of Meeple Like Us discuss the topic of board game accessibility and why support for people with disabilities within the tabletop gaming community is important - not just for its own sake, but for all of us.
Pages referenced here:
Meeple Like Us: http://meeplelikeus.co.uk
The Game Accessibility Guidelines: http://gameaccessibilityguidelines.com/
Eighteen Months of Meeple Like Us:
http://meeplelikeus.co.uk/eighteen-months-of-meeple-like-us-an-exploration-into-the-state-of-board-game-accessibility/
Meeple Centred Design: http://meeplelikeus.co.uk/meeple-centred-design-a-heuristic-toolkit-for-evaluating-the-accessibility-of-tabletop-games/
This is an intermediate conversion course for C++, suitable for second year computing students who may have learned Java or another language in first year.
This is an intermediate conversion course for C++, suitable for second year computing students who may have learned Java or another language in first year.
This is an intermediate conversion course for C++, suitable for second year computing students who may have learned Java or another language in first year.
This is an intermediate conversion course for C++, suitable for second year computing students who may have learned Java or another language in first year.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
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/
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
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?
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.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
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.
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.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
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.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
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.
2. Introduction
• In a previous lecture we talked very briefly about the idea
of parametric polymorphism.
• Being able to treat specific types of object independent of what
they actually are.
• In this lecture we are going to talk about C++’s templating
system.
• This lets us incorporate parametric polymorphism correctly in our
programs.
3. The Problem
• Say we want to create a basic kind of data structure.
• A queue
• A stack
• A hashmap
• How do we do that and still be able to deal with object
orientation?
• Answer is not immediately straightforward.
4. Java, Pre 1.5
• Many kinds of standard data structures exist as the
standard libraries in Java.
• Such as ArrayLists.
• Before version 1.5, the following syntax was used.
• Requires explicit casting of objects as they come off of the structure.
• Why?
• Polymorphism
Arraylist list = new ArrayList();
String str;
list.add (“Bing”);
list.add (“Bong”);
str = (String)list.get(0);
5. Java, 1.5+
• New versions of Java work with a different, more
demonic syntax.
• Explicit type information recorded along with the structure.
• No need for casting as things come off of the structure.
• How is such a thing achieved??
Arraylist<String> list = new ArrayList<String>();
String str;
list.add (“Bing”);
list.add (“Bong”);
str = list.get(0);
6. Generics/Templates
• The system in Java and C# is known as the
generics system.
• In C++, it’s called Templating.
• Both systems are roughly equivalent.
• Used for the same purpose, with various technical
differences.
• Templates more powerful than the Java/C# implementation.
• Provides a method for type-casting structures to permit
more elegant syntactic representation.
• Permits compile time checking of homogenous
consistency.
7. How Do They Work?
• Code we provide serves as a template for C++ to
generate specific instances of the code.
• Works like a structure that can deal with data at a family level of
granularity.
• Exists in two kinds:
• Function templates
• Class templates
8. Function Templates
• Function templates mimic a more flexible form of
method overloading.
• Overloading requires a method to be implemented for
all possible types of data.
• Function templates allow us to resolve that down
to a single template definition.
• Compiler can analyse provided parameters to
assess the function that must be created.
• Within limits… cannot interpret functionality where it
isn’t syntactically valid.
9. Function Templates
template <class T>
T add_nums(T a, T b);
#include <iostream>
#include "TemplateTest.h"
using namespace std;
template <typename T>
T add_nums(T num1, T num2)
{
return num1+num2;
}
int main() {
cout << add_nums ('a', 1) << endl;
return 0;
}
10. Ambiguity
• Because it is the compiler doing the work of interpreting
parameters, it cannot deal well with ambiguity.
• Where we say T, we must have it apply consistently across a
function call.
• We can ensure a certain kind of template being called by
type-casting the function call.
11. Ambiguous Function Call
#include <iostream>
#include "TemplateTest.h"
using namespace std;
template <typename T>
T add_nums(T num1, T num2)
{
return num1+num2;
}
int main() {
cout << add_nums (2.0f, 1) << endl;
return 0;
}
12. Non-Ambiguous Function Call
#include <iostream>
#include "TemplateTest.h"
using namespace std;
template <typename T>
T add_nums(T num1, T num2)
{
return num1+num2;
}
int main() {
cout << add_nums<float> (2.0f, 1) << endl;
return 0;
}
13. Multi-Type Functions
#include <iostream>
#include "TemplateTest.h"
using namespace std;
template <typename T, typename S>
T add_nums(T num1, S num2)
{
return num1+num2;
}
int main() {
float f;
f = add_nums<float, int> (5.0f, 3);
cout << f << endl;
return 0;
}
14. Class Templates
• In a similar way, we can create templates for C++
classes that are type agnostic.
• Again, the compiler will infer typing from context where
it possibility can.
• Good design in C++ separates out definition and
implementation.
• Into .h and .cpp files.
• Slight problem with doing this the way we have
done previously.
• It won’t work.
15. Class Templates
• Templates are not real code.
• Not as we understand it.
• It’s like a template letter in a word processor.
• Until the details are filled in, it’s not an actual letter.
• When separating out the definitions, the compiler
can’t deal with the T until it knows what types it’s
working with.
• The code doesn’t exist until you use it.
• This causes linking problems in the compiler.
16. Class Template Problems
• The complete definition for a function must be available at
the point of use.
• If the full definition isn’t available, the compiler assumes it has been
defined elsewhere.
• In the main program, it knows the type of the data type we
want to use.
• In the definition file, it doesn’t.
• So it never generates the appropriate code.
• Solution – inline functions.
17. A Stack Template
template <typename T>
class Stack {
private:
T *stack;
int current_size;
public:
Stack() :
stack (new T[100]),
current_size (0) {
}
void push(T thing) {
if (current_size == 100) {
return;
}
stack[current_size] = thing;
current_size += 1;
}
18. A Stack Template
T pop() {
T tmp;
current_size -= 1;
tmp = stack[current_size];
return tmp;
}
void clear() {
current_size = 0;
}
int query_size() {
return current_size;
}
~Stack() {
delete[] stack;
}
};
19. Using The Stack
#include <iostream>
#include <String>
#include "Stack.h"
using namespace std;
int main() {
Stack<int> *myStack;
myStack = new
Stack<int>();
myStack->push (100);
cout << myStack->pop()
<<
endl;
return 0;
}
#include <iostream>
#include <String>
#include "Stack.h"
using namespace std;
int main() {
Stack<string> *myStack;
myStack = new
Stack<string>();
myStack->push ("Hello");
cout << myStack->pop() <<
endl;
return 0;
}
20. Benefits of Templates
• Templates allow us to have classes and functions that
work independently of the data they use.
• No need to write a hundred different stacks, just write one using a
template.
• No significant performance overhead.
• It takes a little time for the compiler to generate the actionable
code, but it is not significant.
21. Qualified and Unqualified Names
• What does the typename keyword mean in C++?
• Have to go back quite a ways to explain this!
• Remember in our first header files, we’d often tell
them to use a namspace?
• To get access to the string class for one example.
• This is not good practice.
• We tell every class that uses the header to make use of
that namespace.
22. Qualified Names
• Qualified names are those that specifically note a
scope in a reference.
• For example, string is defined in std, thus:
• std::string
• std::cout
• Scope is independent of using a namespace
#include <iostream>
int main() {
std::cout << "Bing!" << std::endl;
return 0;
}
23. The Problem
template<class S>
void do_something()
{
S::x1 * x2;
}
What are we doing here?
Accessing a member variable called X1 in the parametrized class S?
Or…
Creating a pointer of type S::x1, with the name x2?
Typename resolves this problem.
24. One Last Thing…
• It’s often important to handle deep copies in templates.
• For the same reason it’s important in normal classes.
• Must include copy constructors and assignment operators
here.
• Remember the rules regarding these with reference to pointers and
others.
25. Deep Copies on Templates
Stack<T>(const Stack<T> &s) {
current_size = s.current_size;
stack = new T[100];
for (int i = 0; i < 100; i++) {
stack[i] = s.stack[i];
}
}
Remember these are designed to work on value objects and must be explicitly
de-referenced when working with pointers, like so:
Stack<string> *myStack, *stack2;
myStack = new Stack<string>;
stack2 = new Stack<string>(*myStack);
26. Deep Copies on Templates
Stack<T>& operator= (const Stack<T> &s) {
current_size = s.current_size;
delete[] stack;
stack = new T[100];
for (int i = 0; i < 100; i++) {
stack[i] = s.stack[i];
}
return (*this);
}
27. Summary
• Method overloading offers a degree of ad hoc
polymorphism.
• Combinations must be specified initially.
• Templates permit for parametric polymorphism.
• More complex, but a powerful way of creating generic data types.
• We’ll see the power of this in the next lecture.