Mar 23, 2017 Build Your First iOS App with Visual Studio 2019 and Xamarin - Duration: 5:01. Xamarin Developers 47,207 views. Learn Github in 20 Minutes - Duration: 20:00. Colt Steele 98,106 views. Jun 02, 2015 First, create a new iOS app project using the 'Single View App (iPhone)' template and name it MyFirstWatchApp. Once that's created, add a new Watch App project to the solution as well named WatchApp. This will add both a watch app and watch extension to the solution, as described earlier.
- May 13, 2017 Visual Studio 2017 for Mac was launched at MS Build 2017 with many fresh and exciting features for Visual Studio developers using Mac machines. Mac OS users can build apps for mobile, web, and cloud with Xamarin and.NET Core, and games with Unity using Visual Studio.
- Jan 22, 2019 In this video, Sayed Hashimi will show you how you can create your first ASP.NET Core web application with Visual Studio for Mac. The application that will be developed is a Web site that displays.
In this tutorial, you use Python 3 to create the simplest Python 'Hello World' application in Visual Studio Code. By using the Python extension, you make VS Code into a great lightweight Python IDE (which you may find a productive alternative to PyCharm).
This tutorial introduces you to VS Code as a Python environment, primarily how to edit, run, and debug code through the following tasks:
- Write, run, and debug a Python 'Hello World' Application
- Learn how to install packages by creating Python virtual environments
- Write a simple Python script to plot figures within VS Code
This tutorial is not intended to teach you Python itself. Once you are familiar with the basics of VS Code, you can then follow any of the programming tutorials on python.org within the context of VS Code for an introduction to the language.
If you have any problems, feel free to file an issue for this tutorial in the VS Code documentation repository.
Note: You can use VS Code with Python 2 with this tutorial, but you need to make appropriate changes to the code, which are not covered here.
Prerequisites
To successfully complete this tutorial, you need to first setup your Python development environment. Specifically, this tutorial requires:
- VS Code
- VS Code Python extension
- Python 3
Install Visual Studio Code and the Python Extension
- If you have not already done so, install VS Code.
- Next, install the Python extension for VS Code from the Visual Studio Marketplace. For additional details on installing extensions, see Extension Marketplace. The Python extension is named Python and it's published by Microsoft.
Install a Python interpreter
Along with the Python extension, you need to install a Python interpreter. Which interpreter you use is dependent on your specific needs, but some guidance is provided below.
Windows
Install Python from python.org. You can typically use the Download Python button that appears first on the page to download the latest version.
Note: If you don't have admin access, an additional option for installing Python on Windows is to use the Microsoft Store. The Microsoft Store provides installs of Python 3.7 and Python 3.8. Be aware that you might have compatibility issues with some packages using this method.
For additional information about using Python on Windows, see Using Python on Windows at Python.org
macOS
The system install of Python on macOS is not supported. Instead, an installation through Homebrew is recommended. To install Python using Homebrew on macOS use
brew install python3
at the Terminal prompt.Note On macOS, make sure the location of your VS Code installation is included in your PATH environment variable. See these setup instructions for more information.
Linux
The built-in Python 3 installation on Linux works well, but to install other Python packages you must install
pip
with get-pip.py.Other options
- Data Science: If your primary purpose for using Python is Data Science, then you might consider a download from Anaconda. Anaconda provides not just a Python interpreter, but many useful libraries and tools for data science.
- Windows Subsystem for Linux: If you are working on Windows and want a Linux environment for working with Python, the Windows Subsystem for Linux (WSL) is an option for you. If you choose this option, you'll also want to install the Remote - WSL extension. For more information about using WSL with VS Code, see VS Code Remote Development or try the Working in WSL tutorial, which will walk you through setting up WSL, installing Python, and creating a Hello World application running in WSL.
Verify the Python installation
To verify that you've installed Python successfully on your machine, run one of the following commands (depending on your operating system):
- Linux/macOS: open a Terminal Window and type the following command:
- Windows: open a command prompt and run the following command:
If the installation was successful, the output window should show the version of Python that you installed.
Note You can use the
py -0
command in the VS Code integrated terminal to view the versions of python installed on your machine. The default interpreter is identified by an asterisk (*).Start VS Code in a project (workspace) folder
Using a command prompt or terminal, create an empty folder called 'hello', navigate into it, and open VS Code (
code
) in that folder (.
) by entering the following commands:Note: If you're using an Anaconda distribution, be sure to use an Anaconda command prompt.
By starting VS Code in a folder, that folder becomes your 'workspace'. VS Code stores settings that are specific to that workspace in
.vscode/settings.json
, which are separate from user settings that are stored globally.Alternately, you can run VS Code through the operating system UI, then use File > Open Folder to open the project folder.
Select a Python interpreter
Python is an interpreted language, and in order to run Python code and get Python IntelliSense, you must tell VS Code which interpreter to use.
From within VS Code, select a Python 3 interpreter by opening the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)), start typing the Python: Select Interpreter command to search, then select the command. You can also use the Select Python Environment option on the Status Bar if available (it may already show a selected interpreter, too):
The command presents a list of available interpreters that VS Code can find automatically, including virtual environments. If you don't see the desired interpreter, see Configuring Python environments.
Note: When using an Anaconda distribution, the correct interpreter should have the suffix
('base':conda)
, for example Python 3.7.3 64-bit ('base':conda)
.Selecting an interpreter sets the
python.pythonPath
value in your workspace settings to the path of the interpreter. To see the setting, select File > Preferences > Settings (Code > Preferences > Settings on macOS), then select the Workspace Settings tab.Note: If you select an interpreter without a workspace folder open, VS Code sets
python.pythonPath
in your user settings instead, which sets the default interpreter for VS Code in general. The user setting makes sure you always have a default interpreter for Python projects. The workspace settings lets you override the user setting.Create a Python Hello World source code file
From the File Explorer toolbar, select the New File button on the
hello
folder:Name the file
hello.py
, and it automatically opens in the editor:By using the
.py
file extension, you tell VS Code to interpret this file as a Python program, so that it evaluates the contents with the Python extension and the selected interpreter.Note: The File Explorer toolbar also allows you to create folders within your workspace to better organize your code. You can use the New folder button to quickly create a folder.
Now that you have a code file in your Workspace, enter the following source code in
hello.py
:![Visual Studio For Mac First App Visual Studio For Mac First App](https://image.slidesharecdn.com/netcorenewplatformbernlucerne2016final-160417201319/95/net-core-a-new-net-platform-16-638.jpg?cb=1460924583)
When you start typing
print
, notice how IntelliSense presents auto-completion options.IntelliSense and auto-completions work for standard Python modules as well as other packages you've installed into the environment of the selected Python interpreter. It also provides completions for methods available on object types. For example, because the
msg
variable contains a string, IntelliSense provides string methods when you type msg.
:Feel free to experiment with IntelliSense some more, but then revert your changes so you have only the
msg
variable and the print
call, and save the file (⌘S (Windows, Linux Ctrl+S)).For full details on editing, formatting, and refactoring, see Editing code. The Python extension also has full support for Linting.
Run Hello World
It's simple to run
hello.py
with Python. Just click the Run Python File in Terminal play button in the top-right side of the editor.The button opens a terminal panel in which your Python interpreter is automatically activated, then runs
python3 hello.py
(macOS/Linux) or python hello.py
(Windows):There are three other ways you can run Python code within VS Code:
- Right-click anywhere in the editor window and select Run Python File in Terminal (which saves the file automatically):
- Select one or more lines, then press Shift+Enter or right-click and select Run Selection/Line in Python Terminal. This command is convenient for testing just a part of a file.
- From the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)), select the Python: Start REPL command to open a REPL terminal for the currently selected Python interpreter. In the REPL, you can then enter and run lines of code one at a time.
Configure and run the debugger
Let's now try debugging our simple Hello World program.
First, set a breakpoint on line 2 of
hello.py
by placing the cursor on the print
call and pressing F9. Alternately, just click in the editor's left gutter, next to the line numbers. When you set a breakpoint, a red circle appears in the gutter.Next, to initialize the debugger, press F5. Since this is your first time debugging this file, a configuration menu will open from the Command Palette allowing you to select the type of debug configuration you would like for the opened file.
Note: VS Code uses JSON files for all of its various configurations;
launch.json
is the standard name for a file containing debugging configurations.These different configurations are fully explained in Debugging configurations; for now, just select Python File, which is the configuration that runs the current file shown in the editor using the currently selected Python interpreter.
The debugger will stop at the first line of the file breakpoint. The current line is indicated with a yellow arrow in the left margin. If you examine the Local variables window at this point, you will see now defined
msg
variable appears in the Local pane.A debug toolbar appears along the top with the following commands from left to right: continue (F5), step over (F10), step into (F11), step out (⇧F11 (Windows, Linux Shift+F11)), restart (⇧⌘F5 (Windows, Linux Ctrl+Shift+F5)), and stop (⇧F5 (Windows, Linux Shift+F5)).
The Status Bar also changes color (orange in many themes) to indicate that you're in debug mode. The Python Debug Console also appears automatically in the lower right panel to show the commands being run, along with the program output.
To continue running the program, select the continue command on the debug toolbar (F5). The debugger runs the program to the end.
Tip Debugging information can also be seen by hovering over code, such as variables. In the case of
msg
, hovering over the variable will display the string Hello world
in a box above the variable.You can also work with variables in the Debug Console (If you don't see it, select Debug Console in the lower right area of VS Code, or select it from the ... menu.) Then try entering the following lines, one by one, at the > prompt at the bottom of the console:
Select the blue Continue button on the toolbar again (or press F5) to run the program to completion. 'Hello World' appears in the Python Debug Console if you switch back to it, and VS Code exits debugging mode once the program is complete.
If you restart the debugger, the debugger again stops on the first breakpoint.
To stop running a program before it's complete, use the red square stop button on the debug toolbar (⇧F5 (Windows, Linux Shift+F5)), or use the Run > Stop debugging menu command.
For full details, see Debugging configurations, which includes notes on how to use a specific Python interpreter for debugging.
![Visual Visual](https://www.losant.com/hs-fs/hubfs/Blog/platformio-esp8266/build-success.png?noresize=true&t=1511363843858&width=640&name=build-success.png)
Tip: Use Logpoints instead of print statements: Developers often litter source code with
print
statements to quickly inspect variables without necessarily stepping through each line of code in a debugger. In VS Code, you can instead use Logpoints. A Logpoint is like a breakpoint except that it logs a message to the console and doesn't stop the program. For more information, see Logpoints in the main VS Code debugging article.Visual Studio For Mac First App Windows 10
Install and use packages
Let's now run an example that's a little more interesting. In Python, packages are how you obtain any number of useful code libraries, typically from PyPI. For this example, you use the
matplotlib
and numpy
packages to create a graphical plot as is commonly done with data science. (Note that matplotlib
cannot show graphs when running in the Windows Subsystem for Linux as it lacks the necessary UI support.)Return to the Explorer view (the top-most icon on the left side, which shows files), create a new file called
standardplot.py
, and paste in the following source code:Tip: If you enter the above code by hand, you may find that auto-completions change the names after the
as
keywords when you press Enter at the end of a line. To avoid this, type a space, then Enter.Next, try running the file in the debugger using the 'Python: Current file' configuration as described in the last section.
Unless you're using an Anaconda distribution or have previously installed the
matplotlib
package, you should see the message, 'ModuleNotFoundError: No module named 'matplotlib'. Such a message indicates that the required package isn't available in your system.To install the
matplotlib
package (which also installs numpy
as a dependency), stop the debugger and use the Command Palette to run Terminal: Create New Integrated Terminal (⌃⇧` (Windows, Linux Ctrl+Shift+`)). This command opens a command prompt for your selected interpreter.Visual Studio Community For Mac
A best practice among Python developers is to avoid installing packages into a global interpreter environment. You instead use a project-specific
virtual environment
that contains a copy of a global interpreter. Once you activate that environment, any packages you then install are isolated from other environments. Such isolation reduces many complications that can arise from conflicting package versions. To create a virtual environment and install the required packages, enter the following commands as appropriate for your operating system:Note: For additional information about virtual environments, see Environments.
- Create and activate the virtual environmentNote: When you create a new virtual environment, you should be prompted by VS Code to set it as the default for your workspace folder. If selected, the environment will automatically be activated when you open a new terminal.For windowsIf the activate command generates the message 'Activate.ps1 is not digitally signed. You cannot run this script on the current system.', then you need to temporarily change the PowerShell execution policy to allow scripts to run (see About Execution Policies in the PowerShell documentation):For macOS/Linux
- Select your new environment by using the Python: Select Interpreter command from the Command Palette.
- Install the packages
- Rerun the program now (with or without the debugger) and after a few moments a plot window appears with the output:
- Once you are finished, type
deactivate
in the terminal window to deactivate the virtual environment.
For additional examples of creating and activating a virtual environment and installing packages, see the Django tutorial and the Flask tutorial.
Next steps
You can configure VS Code to use any Python environment you have installed, including virtual and conda environments. You can also use a separate environment for debugging. For full details, see Environments.
To learn more about the Python language, follow any of the programming tutorials listed on python.org within the context of VS Code.
To learn to build web apps with the Django and Flask frameworks, see the following tutorials:
Visual Studio For Mac Enterprise
There is then much more to explore with Python in Visual Studio Code:
- Editing code - Learn about autocomplete, IntelliSense, formatting, and refactoring for Python.
- Linting - Enable, configure, and apply a variety of Python linters.
- Debugging - Learn to debug Python both locally and remotely.
- Testing - Configure test environments and discover, run, and debug tests.
- Settings reference - Explore the full range of Python-related settings in VS Code.
Watch this video and follow along to create your first mobile app with Xamarin.Forms.
Step-by-step instructions for Windows
Follow these steps along with the video above:
- Choose File > New > Project... or press the Create new project... button:
- Search for 'Xamarin' or choose Mobile from the Project type menu. Select the Mobile App (Xamarin.Forms) project type:
- Choose a project name – the example uses 'AwesomeApp':
- Click on the Blank project type and ensure Android and iOS are selected:
- Wait until the NuGet packages are restored (a 'Restore completed' message will appear in the status bar).
- New Visual Studio 2019 installations won't have an Android emulator configured. Click the dropdown arrow on the Debug button and choose Create Android Emulator to launch the emulator creation screen:
- In the emulator creation screen, use the default settings and click the Create button:
- Creating an emulator will return you to the Device Manager window. Click the Start button to launch the new emulator:
- Visual Studio 2019 should now show the name of the new emulator on the Debug button:
- Click the Debug button to build and deploy the application to the Android emulator:
Customize the application
The application can be customized to add interactive functionality. Perform the following steps to add user interaction to the application:
- Edit MainPage.xaml, adding this XAML before the end of the
</StackLayout>
: - Edit MainPage.xaml.cs, adding this code to the end of the class:
- Debug the app on Android:
Note
The sample application includes the additional interactive functionality that is not covered in the video.
Build an iOS app in Visual Studio 2019
It's possible to build and debug the iOS app from Visual Studio with a networked Mac computer. Refer to the setup instructions for more information.
This video covers the process of building and testing an iOS app using Visual Studio 2019 on Windows:
Step-by-step instructions for Windows
Visual Studio For Mac First App Free
Follow these steps along with the video above:
- Choose File > New > Project... or press the Create new project... button, then select Visual C# > Cross-Platform > Mobile App (Xamarin.Forms):
- Ensure Android and iOS are selected, with .NET Standard code sharing:
- Wait until the NuGet packages are restored (a 'Restore completed' message will appear in the status bar).
- Launch Android emulator by pressing the debug button (or the Debug > Start Debugging menu item).
- Edit MainPage.xaml, adding this XAML before the end of the
</StackLayout>
: - Edit MainPage.xaml.cs, adding this code to the end of the class:
- Debug the app on Android:TipIt is possible to build and debug the iOS app from Visual Studio with anetworked Mac computer. Refer to the setup instructionsfor more information.
Visual Studio For Mac Tutorial
Step-by-step instructions for Mac
Follow these steps along with the video above:
Visual Studio For Mac First App 2017
- Choose File > New Solution... or press the New Project... button, then select Multiplatform > App > Blank Forms App:
- Ensure Android and iOS are selected, with .NET Standard code sharing:
- Restore NuGet packages, by right-clicking on the solution:
- Launch Android emulator by pressing the debug button (or Run > Start Debugging).
- Edit MainPage.xaml, adding this XAML before the end of the
</StackLayout>
: - Edit MainPage.xaml.cs, adding this code to the end of the class:
- Debug the app on Android:
- Right-click to set iOS to the Startup Project:
- Debug the app on iOS:
Visual Studio Mac First App
You can download the completed code from the samples gallery or view it on GitHub.
Next Steps
- Single Page Quickstart – Build a more functional app.
- Xamarin.Forms Samples – Download and run code examples and sample apps.
- Creating Mobile Apps ebook – In-depth chapters that teach Xamarin.Forms development, available as a PDF and including hundreds of additional samples.