### Asynchronous programming in .NET by Gerardo Lijs Twitter @GerardoLijs April 2019 ## Content What is Asynchronous Programming CPU-bound vs IO-bound Obsolete patterns Tasks and async/await Practical Count(n => Enumerable.Range(2, (int)Math.Sqrt(n) - 1).All(i => n % i > 0)); } ## Asynchronous method Task GetPrimesCountAsync(int start, int count) { return Task.Run(() => of the time you will need asynchronous to deal with IO-bound operations and the times you will use CPU-bound operations you will probably use a library that provides asynchronous methods for you to interact

Custom Views for the Rest of Us ## JACOB RICE 20 21 October 24-29 ## Custom Views for the Rest of Us Jacob Rice jacob.rice.cpp@gmail.com KEYSIGHT TECHNOLOGIES 1 using namespace std::views; 2 for y> ## → ## → ## → ## What is a view? ## Easy to access: namespace std { 3 } namespace views = ranges::views; ## Range • Semantically: a collection of "things". • Has begin and end functions iterated. Pipelines are cheap to create; “real” work is done during iteration. 1 using namespace std::views; 2 for (int i : iota(2) | filter(even) | transform(square)) 3 std::cout << i <<

## +23 ## Distributed Ranges: A Model for Building Distributed Data Structures, Algorithms, and Views ## BENJAMIN BROCK ## Notices and Disclaimers For notices, disclaimers, and details about performance Other names and brands may be claimed as the property of others. ## Human Readable Disclaimer - The views in this talk are mine, not necessarily those of my employer. - This is a speculative, academic-style dot_product(vector& x, vector& y) { auto z = views::zip(x, y) | views::transform([](auto element) { auto [a, b] = element; return a * b;

## +23 ## Taro: Task graph-based Asynchronous Programming Using C++ Coroutine DIAN-LUN LIN 20 23 October 01 - 06 ## Agenda • Understand the motivation behind Taro • Learn to use the Taro C++ programming Conclusion ## Synchronous/Asynchronous Mechanisms Synchronous Boil the water  Multitasking! Asynchronous Wait ![Image]( motivation behind Taro • We have presented the Taro C++ programming model - Synchronous and Asynchronous mechanisms • We have presented the Taro coroutine-aware scheduling algorithm • We have presented

admin interface: it’s not just scaffolding – it’s the whole house ■ Design your URLs ■ Write your views ■ Design your templates ■ This is just the surface • Quick install guide ■ Install Python Introducing the Django Admin • Writing your first Django app, part 3 Overview Writing more views Write views that actually do something ■ Raising a 404 error ■ Use the template system ■ Removing hardcoded Namespacing URL names • Writing your first Django app, part 4 Write a minimal form ■ Use generic views: Less code is better • Writing your first Django app, part 5 ■ Introducing automated testing ■

## Permissions system - secure user authentication - certain users can be limited to certain views ## Full featured and easily extensible agent - deployed on monitoring targets - can be deployed flexible setup. ## 5 What's new in Zabbix 7.0.0 See breaking changes for this version. Asynchronous pollers New poller processes have been added capable of executing multiple checks at the same pollers are asynchronous - they are capable of starting new checks without the need to wait for a response, with concurrency that is configurable up to 1000 concurrent checks. Asynchronous pollers have

to access elements of the std::mdspan are blocking the arms need to operate asynchronously ## asynchronous dual arm control template struct bin_checker_t { using element_type private: Arbiter* checker_; }; github.com/griswaldbrooks/spanny2 ## asynchronous dual arm control template struct bin_checker_async_t { using element_type Arbiter* checker_; }; github.com/griswaldbrooks/spanny2 ## asynchronous dual arm control struct arbiter_dual_async { using result_type = std::expected

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HTTP requests ..... 189 3.4 Working with forms ..... 231 3.5 Templates ..... 279 3.6 Class-based views ..... 291 3.7 Migrations ..... 316 3.8 Managing files ..... 328 3.9 Testing in Django ..... Signals ..... 540 3.23 System check framework ..... 544 3.24 External packages ..... 547 3.25 Asynchronous support ..... 547 4 "How-to" guides ..... 551 4.1 Authentication using REMOTE_USER 647 6.1 Applications ..... 647 6.2 System check framework ..... 653 6.3 Built-in class-based views API ..... 666 6.4 Clickjacking Protection 716 6.5 contrib packages 718 6.6 Cross Site Request

com/ask/celery/ Keywords task queue, job queue, asynchronous, rabbitmq, amqp, redis, python, webhooks, queue, distributed – Celery is an open source asynchronous task queue/job queue based on distributed message locality - State - Database transactions • Example - blog/models.py - blog/views.py - blog/tasks.py This guide gives an overview of how tasks are defined. For a complete listing inefficient, and may even cause a deadlock if the worker pool is exhausted. Make your design asynchronous instead, for example by using callbacks. ## Bad: @task def update_page_info(url): page =