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We’re excited to announce the general availability of Visual Studio Live Share, and that it is now included with Visual Studio 2019! In the year since Live Share began its public preview, we’ve been working to enhance the many ways you collaborate with your team. This release is the culmination of that work, and all the things we’ve learned from you along the way.

If you haven’t heard of Live Share, it’s a tool that enables real-time collaborative development with your teammates from the comfort of your own tools. You’re able to share your code, and collaboratively edit and debug, without needing to clone repos or set up environments. It’s easy to get started with Live Share.

Memory<T> and ReadOnlyMemory<T>

There are two visual differences between Memory<T> and Span<T>. The first one is that Memory<T> type doesn’t contain ref modifier in the header of the type. In other words, the Memory<T> type can be allocated both on the stack while being either a local variable, or a method parameter, or its returned value and on the heap, referencing some data in memory from there. However, this small difference creates a huge distinction in the behavior and capabilities of Memory<T> compared to Span<T>. Unlike Span<T> that is an instrument for some methods to use some data buffer, the Memory<T> type is designed to store information about the buffer, but not to handle it. Thus, there is the difference in API.

• Memory<T> doesn’t have methods to access the data that it is responsible for. Instead, it has the Span property and the Slice method that return an instance of the Span type.
• Additionally, Memory<T> contains the Pin() method used for scenarios when a stored buffer data should be passed to unsafe code. If this method is called when memory is allocated in .NET, the buffer will be pinned and will not move when GC is active. This method will return an instance of the MemoryHandle structure, which encapsulates GCHandle to indicate a segment of a lifetime and to pin array buffer in memory.

This chapter was translated from Russian jointly by author and by professional translators. You can help us with translation from Russian or English into any other language, primarily into Chinese or German.

Also, if you want thank us, the best way you can do that is to give us a star on github or to fork repository github/sidristij/dotnetbook.

We recently shared the public preview of the Windows Virtual Desktop service on Azure. Now customers can access the only service that delivers simplified management, multi-session Windows 10, optimizations for Office 365 ProPlus, and support for Windows Server Remote Desktop Services (RDS) desktops and apps. With Windows Virtual Desktop, you can deploy and scale your Windows desktops and apps on Azure in minutes, while enjoying built-in security and compliance.

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Structure

General theory

The mobile app developers are exceptionally intrigued by conveying 100% fulfillment outcome for the entrepreneurs. By having top 10 mobile app development companies, it is crucial for working with an effective outcome and does the worldwide system. In this way, get assistance from the professional mobile app developers and grow the business in like manner.

Introduction & Recap

In the previous blog post, we learned how to create a second level of drill-down (detail of detail) and how to interact with OData and ODataModel (v2) in order to delete a database record.

What will be covered on this exercise

With Part 5 of this series of blog posts, we will learn how to create a SimpleForm within a Dialog that will allow us to update the information of a Sales Order Item.

Before updating the database order we have to check that everything typed by the user validates our constraints.

• ODataModel: we have already used it to display server-side information about our Business Partner, Sales Order, and Sales Order Items. We’ve also used it to delete a database record. We’re now going to use it to update a record thanks to the submitChanges method or remove what we’ve done with the resetChanges method.
• Expression Binding: an enhancement of the SAPUI5 binding syntax, which allows for providing expressions instead of custom formatter functions
• SimpleForm: a layout that allows users to create a pixel-perfect form

You may have already read in the news that on the eve of Cosmonautics Day, a new stable release of Angie 1.9.0 was released, an nginx fork that continues to be developed by the team of former nginx developers. Approximately every quarter, we try to release new stable versions and delight users with numerous improvements. This release is no exception, but it's one thing to read a dry changelog and quite another to get to know the functionality in more detail, to learn how and in which cases it can be applied.

The list of innovations that we will discuss in more detail:

— Saving shared memory zones with cache index to disk;
— Persistent switching to a backup group of proxied servers;
— 0-RTT in the stream module;
— New busy status for proxied servers in the built-in statistics API;
— Improvements to the ACME module, which allows automatic obtaining of Let's Encrypt TLS certificates and others;
— Caching TLS certificates when using variables.

ChatGPT-4, the latest model from OpenAI, boasts impressive capabilities like text generation, question answering, problem-solving, coding, and even image analysis. However, accessing it requires a $20 monthly subscription on OpenAI's website. For residents of certain countries, accessing the service poses additional challenges due to restrictions, necessitating the use of foreign payment methods and VPNs.

We've created a list of the top-4 services that offer completely free access to ChatGPT-4. This article will delve into the advantages and limitations of each option, comparing them side-by-side.

In the software development industry, a lot of time and resources are spent on meetings. Many managers have calendars filled with meetings most of the time.

According to a study by Atlassian, the average worker spends up to 31 hours a month on unproductive meetings. That's about 8 hours a week, which is equivalent to a full work week for one employee out of a team of five people every month. If we convert this into working days, it means that on average four people are working, and one is constantly in meetings. This does not take into account additional time spent on informal discussions and ad-hoc meetings, which further reduce the time available for direct work on product creation. Thus, developers actually spend less than half of their working day on direct development, which is a worrying sign for any organization striving for innovation and efficiency.

Personally, I don't like meetings. I always try to minimize communication if an issue can be resolved without a face-to-face meeting. I apply this rule both at work and in life. For example, I prefer to refuel my car using an app, and I try to order food and other services without needing confirmation from an operator, and I did this even when such an approach was not so common. If I need to find a place, I will open a map in the app, instead of asking passers-by for directions.

My reluctance to waste time or be inefficient has resulted in our software development department carefully monitoring the time our developers spend on meetings. On average, a developer has only 2 hours and 15 minutes of mandatory meetings per week, including four 15-minute stand-ups, a 30-minute one-on-one meeting with a manager every two weeks, and 60 minutes for various meetings such as planning and demonstrations. The rest of the time, about 5 hours and 45 minutes, is spent on other activities in MS Teams, including chats and individual calls. Although we believe that this time should also be optimized, we focus mainly on key meetings to ensure that every minute spent is valuable.

In this article, I will consider the approaches I use and the ideas that motivate me to minimize the costs associated with meetings.

The life of Langton's Ant seems sad and lonely, but, as we'll soon discover, he is not ready to put up with such an outrageous situation and is trying his best to escape. American scientist Christopher Langton invented his ant back in 1986. Since then, no one has been able to explain the strange behavior of this mysterious model...

When a person used to say that he controls the whole world, he was usually placed in the next room with Napoleon Bonaparte. I hope that these times are in the past and everyone can analyze the geodata of the entire Earth and get answers to their global questions in minutes and seconds. I published Openstreetmap_h3 - my project, which allows you to perform geoanalytics on data from OpenStreetMap in PostGIS or in any query engine that can work with Apache Arrow / Parquet.

First of all, I say hello to the haters and skeptics. What I developed is really unique and solves the problem of transforming and analyzing geodata using the usual and familiar tools available to every analyst and data science specialist without bigdata, GPGPU, FPGA. What looks easy to use and code now is my personal project where I have invested my vacations, weekends, sleepless nights and a lot of personal time over the past 3 years. Maybe I will share the background of the project and the rake that I went through, but first I will still describe the end result.

How to make a parallel book for language learning. Part 1. Python and Colab version

This is a second article on making parallel books. Today we will use the more advanced tool which will bring rich UI functionality. Lingtrain Alignment Studio is a web application written on Vue and Python. The main purpose of it is to extract the parallel corpora from two raw texts and make a bilingual (or even multilingual) parallel book. This is an open-source project and I will be glad to hear all of your bright ideas. Links to the sources and our community contacts can be found below. Los geht's!

Setup

The app is packed into the docker container. It's a simple technology to deploy your stuff anywhere from the server to your local machine. It's available across all the operating systems. So at first, you need a docker installed locally. Then you need to run two simple commands. The first will download the container:

docker pull lingtrain/aligner:v4

And the second one will run the application:

docker run -v C:\app\data:/app/data -v C:\app\img:/app/static/img -p 80:80 lingtrain/aligner:v4

C:\app\data and C:\app\img — your local folders.

The app will be available on the 80th port. Let's open the localhost page in your favorite browser.

We will make three simple steps: Load, Align, Create