(1) The document summarizes C++ advanced features such as overloaded operators, templates, exception handling, and namespaces. It also provides an overview of the Standard Template Library (STL) including containers, iterators, and algorithms.
(2) Overloaded operators allow basic operations for user-defined types. Templates are used for generic programming of classes and functions. Exception handling provides error handling using throw/catch blocks. Namespaces prevent naming conflicts. The STL contains containers, iterators to access elements, and algorithms that perform operations on containers.
(3) Popular C++ compilers, local user groups, and further reading materials are also listed. Upcoming events include meetings of the ACGNJ Java and C++
While software engineers can disagree on almost any concept of programming best-practice, the necessity of writing unit tests remains undisputed. With the advent of concurrent applications and the ongoing deprecation of the one-thread-per-request model, unit tests do however miss an increasing fraction of programming errors such as race conditions or dead-locking code. But is it even possible to write tests that revise such errors? In the end, a good unit test is characterized by a determined execution path what effectively prevents the use of concurrency within a single test. However, there are tools and programming principles that allow for unit tests of concurrent code. This talk reviews typical mistakes made when concurrent code is tested and introduces Thread Weaver, a test suite for writing valid unit tests that uncover concurrency-related programming errors.
Writing software for a virtual machine enables developers to forget about machine code assembly, interrupts, and processor caches. This makes Java a convenient language, but all too many developers see the JVM as a black box and are often unsure of how to optimize their code for performance. This unfortunately adds credence to the myth that Java is always outperformed by native languages. This session takes a peek at the inner workings of Oracle’s HotSpot virtual machine, its just-in-time compiler, and the interplay with a computer’s hardware. From this, you will understand the more common optimizations a virtual machine applies, to be better equipped to improve and reason about a Java program’s performance and how to correctly measure runtime!
While software engineers can disagree on almost any concept of programming best-practice, the necessity of writing unit tests remains undisputed. With the advent of concurrent applications and the ongoing deprecation of the one-thread-per-request model, unit tests do however miss an increasing fraction of programming errors such as race conditions or dead-locking code. But is it even possible to write tests that revise such errors? In the end, a good unit test is characterized by a determined execution path what effectively prevents the use of concurrency within a single test. However, there are tools and programming principles that allow for unit tests of concurrent code. This talk reviews typical mistakes made when concurrent code is tested and introduces Thread Weaver, a test suite for writing valid unit tests that uncover concurrency-related programming errors.
Writing software for a virtual machine enables developers to forget about machine code assembly, interrupts, and processor caches. This makes Java a convenient language, but all too many developers see the JVM as a black box and are often unsure of how to optimize their code for performance. This unfortunately adds credence to the myth that Java is always outperformed by native languages. This session takes a peek at the inner workings of Oracle’s HotSpot virtual machine, its just-in-time compiler, and the interplay with a computer’s hardware. From this, you will understand the more common optimizations a virtual machine applies, to be better equipped to improve and reason about a Java program’s performance and how to correctly measure runtime!
Concurrent Programming in Java provides a brief overview of the following topics:
• Java language support for concurrency
• Concurrency utilities (java.util.concurrent package)
• Java collections for multithreading (java.util package)
• Parallel streams in Java 8.
Try out the examples. Source code here: https://github.com/CodeOpsTech/ConcurrentJava
At first glance, Java byte code can appear to be some low level magic that is both hard to understand and effectively irrelevant to application developers. However, neither is true. With only little practice, Java byte code becomes easy to read and can give true insights into the functioning of a Java program. In this talk, we will cast light on compiled Java code and its interplay with the Java virtual machine. In the process, we will look into the evolution of byte code over the recent major releases with features such as dynamic method invocation which is the basis to Java 8 lambda expressions. Finally, we will learn about tools for the run time generation of Java classes and how these tools are used to build modern frameworks and libraries. Among those tools, I present Byte Buddy, an open source tool of my own efforts and an attempt to considerably simplify run time code generation in Java.
Lambda Chops - Recipes for Simpler, More Expressive CodeIan Robertson
While the new Streams API has been a great showcase for lambda methods, there are many other ways this new language feature can be used to make friendlier APIs and more expressive code. Lambdas can be used for a number of tasks which historically required significant boilerplate, type-unsafe constructs, or both. From new ways to express metedata, to emulating Groovy's null-safe navigation operator, we'll take a look at a myriad of ways, big and small, that you can use lambdas to improve APIs and streamline your code. We'll also look at some of the limitations of lambdas, and some techniques for overcoming them.
While most bugs reveal their cause within their stack trace, Java’s OutOfMemoryError is less talkative and therefore regarded as being difficult to debug by a majority of developers. With the right techniques and tools, memory leaks in Java programs can however be tackled like any other programming error. This talks discusses how a JVM stores data, categorizes different types of memory leaks that can occur in a Java program and presents techniques for fixing such errors. Furthermore, we will have a closer look at lambda expressions and their considerable potential of introducing memory leaks when they are used incautiously.
micro(-service) components. While this approach to building software - if done correctly - can improve a system's maintainability and scalability, distributed applications also introduce challanges for operations. Where monolithic applications typically offered direct access to extensive monitoring dashbords, such easy overview is no longer available when multitude services are loosly connected over a network. But how to keep track of a system of such dynamic state?
Distributed tracing is a method of connecting interaction of different services on a network. Collecting and processing such tracing information again allows for the observation of a distributed system in its entirety. This talk shares the presenter's insights gained by working on the JVM-support of distributed tracing for the APM tool Instana. Doing so, it introduces the landscape of distributed tracing on the JVM, discussing popular approaches such as Dapper, Zipkin or Brave/OpenTracing. In the process, it is discussed how byte code instrumentation can be used to capture systems without requiring a user to set up the software under observation. The presentation finishes with a discussion of typical problems of distributed tracing solutions and carefully examines the performance penalties APM tools entail.
https://www.youtube.com/watch?v=VNmtmz3mJN4&
Deep dive into InjectionTDD - how to perform iOS unit tests realtime, without rebuilding entire Xcode project.
Let us explore Java 8 features and start using it in your day to day work. You will be surprised how Java has evolved to become so different yet easy & powerful. In this presentation, we discuss Java 8 Stream API.
Multithreading with modern C++ is hard. Undefined variables, Deadlocks, Livelocks, Race Conditions, Spurious Wakeups, the Double Checked Locking Pattern, etc. And at the base is the new Memory-Modell which make the life not easier. The story of things which can go wrong is very long. In this talk I give you a tour through the things which can go wrong and show how you can avoid them.
Concurrent Programming in Java provides a brief overview of the following topics:
• Java language support for concurrency
• Concurrency utilities (java.util.concurrent package)
• Java collections for multithreading (java.util package)
• Parallel streams in Java 8.
Try out the examples. Source code here: https://github.com/CodeOpsTech/ConcurrentJava
At first glance, Java byte code can appear to be some low level magic that is both hard to understand and effectively irrelevant to application developers. However, neither is true. With only little practice, Java byte code becomes easy to read and can give true insights into the functioning of a Java program. In this talk, we will cast light on compiled Java code and its interplay with the Java virtual machine. In the process, we will look into the evolution of byte code over the recent major releases with features such as dynamic method invocation which is the basis to Java 8 lambda expressions. Finally, we will learn about tools for the run time generation of Java classes and how these tools are used to build modern frameworks and libraries. Among those tools, I present Byte Buddy, an open source tool of my own efforts and an attempt to considerably simplify run time code generation in Java.
Lambda Chops - Recipes for Simpler, More Expressive CodeIan Robertson
While the new Streams API has been a great showcase for lambda methods, there are many other ways this new language feature can be used to make friendlier APIs and more expressive code. Lambdas can be used for a number of tasks which historically required significant boilerplate, type-unsafe constructs, or both. From new ways to express metedata, to emulating Groovy's null-safe navigation operator, we'll take a look at a myriad of ways, big and small, that you can use lambdas to improve APIs and streamline your code. We'll also look at some of the limitations of lambdas, and some techniques for overcoming them.
While most bugs reveal their cause within their stack trace, Java’s OutOfMemoryError is less talkative and therefore regarded as being difficult to debug by a majority of developers. With the right techniques and tools, memory leaks in Java programs can however be tackled like any other programming error. This talks discusses how a JVM stores data, categorizes different types of memory leaks that can occur in a Java program and presents techniques for fixing such errors. Furthermore, we will have a closer look at lambda expressions and their considerable potential of introducing memory leaks when they are used incautiously.
micro(-service) components. While this approach to building software - if done correctly - can improve a system's maintainability and scalability, distributed applications also introduce challanges for operations. Where monolithic applications typically offered direct access to extensive monitoring dashbords, such easy overview is no longer available when multitude services are loosly connected over a network. But how to keep track of a system of such dynamic state?
Distributed tracing is a method of connecting interaction of different services on a network. Collecting and processing such tracing information again allows for the observation of a distributed system in its entirety. This talk shares the presenter's insights gained by working on the JVM-support of distributed tracing for the APM tool Instana. Doing so, it introduces the landscape of distributed tracing on the JVM, discussing popular approaches such as Dapper, Zipkin or Brave/OpenTracing. In the process, it is discussed how byte code instrumentation can be used to capture systems without requiring a user to set up the software under observation. The presentation finishes with a discussion of typical problems of distributed tracing solutions and carefully examines the performance penalties APM tools entail.
https://www.youtube.com/watch?v=VNmtmz3mJN4&
Deep dive into InjectionTDD - how to perform iOS unit tests realtime, without rebuilding entire Xcode project.
Let us explore Java 8 features and start using it in your day to day work. You will be surprised how Java has evolved to become so different yet easy & powerful. In this presentation, we discuss Java 8 Stream API.
Multithreading with modern C++ is hard. Undefined variables, Deadlocks, Livelocks, Race Conditions, Spurious Wakeups, the Double Checked Locking Pattern, etc. And at the base is the new Memory-Modell which make the life not easier. The story of things which can go wrong is very long. In this talk I give you a tour through the things which can go wrong and show how you can avoid them.
Building Microservices with Micronaut: A Full-Stack JVM-Based FrameworkMichael Redlich
Micronaut, introduced in early 2018 by Object Computing, is a full-stack JVM-based framework for creating microservices-based, cloud native, and serverless applications that can be written in Java, Groovy, or Kotlin. This new framework provides a simple compile-time, aspect-oriented programming API that does not use reflection. Micronaut supports GraalVM-native images and offers compile-time support for Swagger, validation, and mapping annotations. With its own nonblocking web server built on top of Netty, reactive clients can be built declaratively and are implemented at compile time. This session provides an overview of Micronaut, followed by a live demonstration of an application with microservices written in Java, Groovy, and Kotlin, respectively.
Building Microservices with Helidon: Oracle's New Java Microservices FrameworkMichael Redlich
Project Helidon, introduced by Oracle in September 2018, features an asynchronous reactive web server built on top of Netty. Oracle designed Helidon to be lightweight, easy, and fast for building microservices-based applications. There are two programming modes: Helidon SE, featuring microframeworks, and Helidon MP, which supports MicroProfile. This session provides an overview of Helidon, followed by live demonstrations of how to get started with both Helidon SE and Helidon MP, along with an application.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
In the ever-evolving landscape of technology, enterprise software development is undergoing a significant transformation. Traditional coding methods are being challenged by innovative no-code solutions, which promise to streamline and democratize the software development process.
This shift is particularly impactful for enterprises, which require robust, scalable, and efficient software to manage their operations. In this article, we will explore the various facets of enterprise software development with no-code solutions, examining their benefits, challenges, and the future potential they hold.
E-commerce Application Development Company.pdfHornet Dynamics
Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
AI Genie Review: World’s First Open AI WordPress Website CreatorGoogle
AI Genie Review: World’s First Open AI WordPress Website Creator
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-genie-review
AI Genie Review: Key Features
✅Creates Limitless Real-Time Unique Content, auto-publishing Posts, Pages & Images directly from Chat GPT & Open AI on WordPress in any Niche
✅First & Only Google Bard Approved Software That Publishes 100% Original, SEO Friendly Content using Open AI
✅Publish Automated Posts and Pages using AI Genie directly on Your website
✅50 DFY Websites Included Without Adding Any Images, Content Or Doing Anything Yourself
✅Integrated Chat GPT Bot gives Instant Answers on Your Website to Visitors
✅Just Enter the title, and your Content for Pages and Posts will be ready on your website
✅Automatically insert visually appealing images into posts based on keywords and titles.
✅Choose the temperature of the content and control its randomness.
✅Control the length of the content to be generated.
✅Never Worry About Paying Huge Money Monthly To Top Content Creation Platforms
✅100% Easy-to-Use, Newbie-Friendly Technology
✅30-Days Money-Back Guarantee
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
#AIGenieApp #AIGenieBonus #AIGenieBonuses #AIGenieDemo #AIGenieDownload #AIGenieLegit #AIGenieLiveDemo #AIGenieOTO #AIGeniePreview #AIGenieReview #AIGenieReviewandBonus #AIGenieScamorLegit #AIGenieSoftware #AIGenieUpgrades #AIGenieUpsells #HowDoesAlGenie #HowtoBuyAIGenie #HowtoMakeMoneywithAIGenie #MakeMoneyOnline #MakeMoneywithAIGenie
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
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See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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#AIFusionBuddyFeatures,
#AIFusionBuddyPricing,
#AIFusionBuddyProsandCons,
#AIFusionBuddyTutorial,
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First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
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.
Understanding Nidhi Software Pricing: A Quick Guide 🌟
Choosing the right software is vital for Nidhi companies to streamline operations. Our latest presentation covers Nidhi software pricing, key factors, costs, and negotiation tips.
📊 What You’ll Learn:
Key factors influencing Nidhi software price
Understanding the true cost beyond the initial price
Tips for negotiating the best deal
Affordable and customizable pricing options with Vector Nidhi Software
🔗 Learn more at: www.vectornidhisoftware.com/software-for-nidhi-company/
#NidhiSoftwarePrice #NidhiSoftware #VectorNidhi
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
2. Who’s Mike?
• BS in CS from
• “Petrochemical Research Organization”
• Java Queue News Editor, InfoQ
• Ai-Logix, Inc. (now AudioCodes)
• Amateur Computer Group of New Jersey
2
5. What are Overloaded
Operators?
• Define basic operations for objects of user-
defined types
• as if they were built-in types
• Often referred to as “syntactic sugar”
5
7. 7
// main application
#include “String.h”
// create two different objects of type String
String string1 = “Hello, C++ Users Group!”;
String string2 = “Hello, Java Users Group!”;
// a conditional *without* an overloaded equality operator
if(strcmp(string1.getString(),string2.getString()) == 0)
// do this
else
// do that
// a conditional *with* an overloaded equality operator
if(string1 == string2)
// do this
else
// do that
9. Overloaded Operators
(2)
•string1 == string2
• interpreted as
string1.operator==(string2);
• string1 is the object in control
• string2 is the argument passed into the
operator
9
11. Overloaded Operators
(3)
• Attractive, but can be dangerous!!
• deep vs. shallow copy
• assignment operator side effects
• The compiler automatically generates an
assignment operator if one is not explicitly
defined
• memberwise assignments
11
19. Overloaded Operators
(9)
• Limitations:
• the meaning of an operator cannot be changed
• the number of operands for an operator cannot
be changed
• operator precedence and associativity cannot be
changed
• no personal operators!!
19
23. 23
// swap member functions to handle different data types
void swap(int &first,int &second) {
int temp = second;
second = first;
first = temp;
}
void swap(float &first,float &second) {
float temp = second;
second = first;
first = temp;
}
void swap(char *&first,char *&second) {
char *temp = second;
second = first;
first = temp;
}
24. 24
/*
* function template to swap two elements
* of any data type
*/
template <class T>
void swap(T &first,T &second) {
T temp = second;
second = first;
first = temp;
}
25. Templates (2)
• A template specialization is the specific use
of a template member function or class
• swap<int>(1,2);
• swap<float>(1.7,3.5);
• swap<char>(‘a’,’b’);
• swap<char *>(“Mets”,”Jets”);
25
27. What is Exception
Handling?
• A more robust method for handling errors
than fastidiously checking for error codes
• error code checking is tedious and can obscure
program logic
27
28. Exception Handling (1)
• Throw Expression:
• raises the exception
• Try Block:
• contains a throw expression or a member
function that throws an exception
28
29. Exception Handling (2)
• Catch Clause(s):
• handles the exception
• defined immediately after the try block
• multiple catch clauses allowed
• no implicit data type conversions
• catch(...) catches any exception type
29
30. C++ Exception Model
• Destructors invoked for all live objects as
the stack “unwinds”
• Exception Specification
• specify what type of exception(s) a member
function will throw
• Termination vs. Resumption semantics
30
31. 31
// exception handling example
#include <string>
#include <stdexcept>
void fred(void) {
FILE *file = fopen(“filename.txt”,”rt”);
try {
if(file == NULL) { // file could not be opened
throw 1;
}
int g = george(-1);
}
catch(int e) {
cout << “ERROR: Could not open file...” << endl;
}
catch(string const message) {
cout << message << endl;
}
// other statements...
}
// continued on next slide...
32. 32
// continued from previous slide...
int george(int n) {
if(n < 0) {
string message = “ERROR: Value less than zero...”;
throw message;
}
// other statements...
return n;
}
33. C++ Exception Class
Hierarchy (1)
• exception
• logic_error (client program errors)
• runtime_error (external errors)
• bad_alloc (memory allocation errors)
33
35. 35
// exception handling example (revised)
#include <string>
#include <stdexcept>
void fred(void) {
FILE *file = fopen(“filename.txt”,”rt”);
try {
if(file == NULL) { // file could not be opened
throw runtime_error(“ERROR: Could not open file...”);
}
int g = george(-1);
}
catch(runtime_error &re) {
cout << re.what() << endl;
}
catch(string const message) {
cout << message << endl;
}
// other statements...
}
36. Exception Handling (3)
• Do not throw exceptions:
• to indicate special return values
• in copy constructors and assignment operators
• stroustrup.com/3rd_safe.pdf
36
38. What are Namespaces?
• Used to prevent global naming conflicts
• All C++ standard library components are
contained within a single namespace called
std
38
39. 39
// an example of using header files from different sources
// baseball.h
...
int strike = 0;
...
// bowling.h
...
bool strike = false;
...
// main application
#include baseball.h
#include bowling.h // ERROR: strike already declared
40. 40
// an example of using header files from different sources
// baseball.h
namespace baseball {
...
int strike = 0;
...
}
// bowling.h
namespace bowling {
...
bool strike = false;
...
}
// main application
#include baseball.h
#include bowling.h // OK!
41. Namespaces (1)
• Fully-qualified member names:
• namespace name
• scope resolution operator (::)
• member name
• baseball::strike
• bowling::strike
41
42. Aliases
• Provides shorthand for the fully-qualified
namespace name
• Has the form:
• namespace m = N;
• namespace bb = baseball;
• namespace bw = bowling;
42
43. Using Directive
• Provides access to all members of a
namespace without having to write the
fully-qualified namespace member names
• Has the form:
• using namespace N;
• using namespace baseball;
• using namespace bowling;
43
44. Using Declaration
• Provides access to individual members of a
namespace without having to write the
fully-qualified namespace member names
• Has the form:
• using N::m;
• using baseball::strike;
• using bowling::strike;
44
46. What is the STL?
• A subset of Standard C++
• First developed by HP Labs in 1994
• Three main parts:
• containers
• iterators
• algorithms
46
47. What are Containers?
• A data structure that contains a sequence
of elements
• Sequential containers:
• organize elements linearly
• Sorted associative containers:
• organize elements based on a key
47
48. Containers (1)
• Primarily chosen by how well it can
perform certain operations, such as:
• add elements to the container
• remove elements from the container
• rearrange elements within the container
• inspect elements within the container
48
50. What are Iterators?
• A generalization of a C/C++ pointer
• Used to access elements within an ordered
sequence
• Considered the “glue” that tie together
containers and algorithms
50
55. Popular C++
Compilers
55
• Embarcadero C++ Builder XE7
• embarcadero.com/products/cbuilder
• MicrosoftVisual C++
• microsoft.com
• Intel System Studio
• software.intel.com/en-us/c-
compilers
57. Local C++ User
Groups
• ACGNJ C++ Users Group
• facilitated by Bruce Arnold
• acgnj.barnold.us
57
58. Further Reading (1)
58
• C & C++ Code Capsules
• Chuck Allison
• freshsources.com
• The C++ Programming Language
• Bjarne Stroustrup
• stroustrup.com/4th.html
59. Further Reading (2)
59
• The Annotated C++ Reference Manual
• Margaret Ellis and Bjarne Stroustrup
• stroustrup.com/arm.html
• 1997 C++ Public Review Document
• C++ ISO JTC1/SC22/WG21 Committee
• open-std.org/jtc1/sc22/open/n2356
60. Upcoming Events
• ACGNJ Java Users Group
• Dr. Venkat Subramaniam
• Monday, March 19, 2018
• DorothyYoung Center for the Arts, Room 106
• Drew University
• 7:30-9:00pm
• “Twelve Ways to Make Code Suck Less”
60