How To Get Latest Code From Tfs In Visual Studio 2022
Kenneth Calimlim
Visual Studio offers AI-enhanced features like IntelliSense for context-aware code completions and IntelliCode, which leverages AI patterns from open-source code. Integrated GitHub Copilot provides AI-powered code completions, chat assistance, debugging suggestions, and unit test generation. These capabilities boost productivity and code quality, helping you code faster and smarter.
Scale to work on projects of any size and complexity with a 64-bit IDE. Code with a new Razor editor that can refactor across files. Diagnose issues with visualizations for async operations and automatic analyzers.
Develop cross-platform mobile and desktop apps with .NET MAUI. Build responsive Web UIs in C# with Blazor. Build, debug, and test .NET and C++ apps in Linux environments. Use hot reload capabilities across .NET and C++ apps. Edit running ASP.NET pages in the web designer view.
AI-powered code completions. Work together in real-time with shared coding sessions. Clone repos, navigate work items, and stage individual lines for commits. Automatically set up CI/CD workflows that can deploy to Azure.
Configure and theme just like you would expect from any modern development tool. Whether you choose one of the default themes already installed or explore new themes from the Visual Studio Marketplace, you have the freedom to make your editor or IDE truly yours.
Im a newbie in module scripting and I should like to manage code with Visual Studio or Visual Studio Code instead of Notepad++.
How can I setup VS/VSC for this porpuse? Is there any tutorial o video about?
Slicer will open .py files with the editor you configured in you Windows system settings (file associations), but you can open the files in any editor. You can also do step-by-step debugging in Visual Studio Code, Visual Studio, PyCharm, Eclipse, LiClipse, etc..
In VScode you need to configure your python module, just let VSCode know you want the one in Slicer, "python.pythonpath"="/path/to/slicer/bin/PythonSlicer" in your project configuration /project/folder/.vscode/settings.json. Thats it, now you need to install pylint, rope and autopep8 inside Slicer with normal slicer.util.pip_install("pylint") , now your vscode works natively in Slicer.
@Alex_Vergara does auto-complete or documentation work for you for VTK and Slicer classes? Do you use Jedi as IntelliSense engine (python.jediEnabled)? Seeing a few screenshots and/or videos about what you have working in VS Code would be great.
You need to add the extrapaths to your python, I know I have them in the wrong place, but I am being lazy to move them. anyways, you need the python.autocomplete.extrapaths added to your settings too.
As you can see ctrl+space already gives me all necesary hints
image943176 14.4 KB
In the image below you can see some of the auto-complete for the slicer module (there are more if I scrolled down in the pop-up). There is no mrmlScene so unfortunately no slicer.mrmlScene.XX auto-complete. Also missing items for vtk. Maybe a setting can be changed, but I was just using the reference from @Alex_Vergara.
Thank you. With the above settings I get auto-complete for native python classes (slicer.util, etc). This is good! Even VTK and other C++ wrapped libraries show up and classes are listed, but unfortunately method names and method documentation does not show up and auto-complete does not work either.
Want to collaborate on code errors? Have bugs you need feedback on? Looking for an extra set of eyes on your latest project? Get support with fellow developers, designers, and programmers of all backgrounds and skill levels here with the Treehouse Community! While you're at it, check out some resources Treehouse students have shared here.
Recently, I finished the videos regarding "Adding Images to the Page" in the HTML section of Treehouse. I went onto my editor (Visual Studio Code), though, to try it on my own, and I couldn't figure out how to move a picture from my computer onto the practice website I was trying to build.
So assuming you've created a .html document in Visual Studio Code with the necessary markup, you can add images to your own practice page by using the tag. You can then define the location of the image using the src attribute within that tag.
Keep in mind that in this instance, the .html document should be located in the parent directory of the images folder. If the image is located in the same folder as the .html document, you would simply use the file name like so:
You can use your local install of Visual Studio Code to create, manage, work in, and delete codespaces. To use GitHub Codespaces in VS Code, you need to install the Codespaces extension. For more information on setting up GitHub Codespaces in VS Code, see "Prerequisites."
By default, if you create a new codespace on GitHub.com, it will open in the browser. If you would prefer to open any new codespaces in VS Code automatically, you can set your default editor to be VS Code. For more information, see "Setting your default editor for GitHub Codespaces."
If you prefer to work in the browser, but want to continue using your existing VS Code extensions, themes, and shortcuts, you can turn on Settings Sync. For more information, see "Personalizing GitHub Codespaces for your account."
To develop in a codespace directly in VS Code, you must install and sign into the GitHub Codespaces extension with your GitHub credentials. The GitHub Codespaces extension requires VS Code October 2020 Release 1.51 or later.
After you connect your account on GitHub.com to the GitHub Codespaces extension, you can create a new codespace. For more information about the GitHub Codespaces extension, see the VS Code Marketplace.
Note: Your choice of available machine types may be limited by a number of factors. These can include a policy configured for your organization, or a minimum machine type specification for your repository. For more information, see "Restricting access to machine types" and "Setting a minimum specification for codespace machines."
Typically, you can run your codespace on a choice of remote machine types. These machine types offer a choice of hardware specifications ranging from 2 cores to 32 cores, although the full range of machine types may not always be available. Each machine type has a different level of resources and a different billing tier. For information, see "About billing for GitHub Codespaces."
If you changed to a virtual machine with a different storage capacity (for example, from 32 GB to 64 GB), your codespace will be unavailable for a short time while the machine type is changed. If the codespace is currently active, it will automatically be stopped. When the change is complete, you'll be able to restart the codespace running on the new machine type.
If you changed to a virtual machine with the same storage capacity, the change will be applied the next time you restart the codespace. An active codespace will not be stopped automatically. For more information on restarting a codespace, see "Stopping and starting a codespace."
If you are using the VS Code web client, you can switch to the Insiders version of the application. For more information about this version of VS Code, see Introducing the Insiders Build in the VS Code blog.
After you switch versions in a codespace, the web client will continue to use the Insiders version if you stop and restart the codespace. New codespaces that you create and open in the VS Code web client will also use the Insiders version.
To switch back to the Stable version of VS Code, repeat the process but choose Switch to Stable Version. After you switch back, the codespace will continue to use the Stable version if you stop and restart the codespace. New codespaces that you create and open in the VS Code web client will also use the Stable version.
To use GitHub Codespaces in the Insiders version of the VS Code desktop application, start or create your codespaces from within the VS Code Insiders application. For more information see "Creating a codespace in VS Code" and "Opening a codespace in VS Code" earlier in this article.
I have first to apologize for my poor level in english, I will try to do my best to be understood. Few day ago, I installed the Intel Fortran Compiler (ifort) on Windows 10, by installing the intel oneAPI Base Toolkit and the oneAPI HPC toolkit. The aim was to compare the compilation between gfortran from GNU on linux and ifort on a windows computer.
When I installed the toolkits from intel on windows 10, I wanted to be sure that the additionnal compilers where included in Visual studio 2019. In fact, it was the case, because I have now the possibility to create fortran projects, and I secceeded to debug and execute a simple fortran code on 1 file (.f).
My lack of knowleadges on how to use Visual Code will now appears. In fact, I don't know how to set up tasks to debug and compile my fortran files. So, by using only the command lines all works, here are the command I used :
Now, on Visual Sudio 2019, I don't know first if a have to create a fortran project, then I copy my fortran files into it. Also how do we create I simple task and a makefile to debug and run those files.
When you are using Visual Studio, you must create a project, which then resides in a "solution". Normally, when you create a new project, the solution is created automatically. A solution can hold more than one project and is something that builds an end result (executable, for example).
Since you have existing files, select Empty Project and click Next. The next screen will ask you to name the project and say where you want the new project/solution folder created. Click Create. On the new screen that appears, you'll see something like this on the right, reflecting your new project.
d3342ee215