Python + Visual Studio Code = успешная разработка. Python в Visual Studio

Python + Visual Studio Code = успешная разработка. Python в Visual Studio

Visual Studio поддерживает большую часть функций Visual Studio Code, но также предлагает все полезные возможности интегрированной среды разработки, что позволяет совершать больше операций без использования командной строки. Visual Studio также предоставляет не имеющие равных возможности для работы с гибридными проектами Python и C# или C++.Чтобыподдержку Python в Visual Studio на Windows, необходимо выбрать рабочую нагрузку «Разработка на Python» и (или) рабочую нагрузку «Приложения для обработки и анализа данных и аналитические приложения» в установщике Visual Studio:Можно установить различные версии Python и Anaconda, выбрав их в меню дополнительных компонентов (см. правую часть скриншота выше).После установки рабочей нагрузки Python, можно начать работу, создав проект Python в разделе с помощью меню «Файл -> Новый проект» (в списке установленных компонентов выберите Python):Чтобы создать приложение с нуля, откройте шаблон приложения Python и приступайте к написанию кода. Также можно создать проект, взяв за основу существующий код Python или используя веб-шаблоны для Flask, Django и Bottle. Ознакомьтесь с нашими, чтобы получить подробную информацию по разработке веб-приложений с помощью этих платформ и Visual Studio.Если установлена рабочая нагрузка по обработке и анализу данных, также можно использовать шаблоны для проектов по машинному обучению с использованием Tensorflow и CNTK.После того как проект создан, управлять виртуальными средами и средами conda можно с помощью узла «Python Environments» («Среды Python») в обозревателе решений и окне среды Python. Щелкнув правой кнопкой мыши по активной среде Python и выбрав соответствующий пункт меню, можно установить дополнительные пакеты:Visual Studio по-настоящему демонстрирует свои возможности при использовании Python с другими языками. Можно объединять проекты Python и C++ для создания решения или даже встраивать файлы .py в проекты C++ или C#!Можно даже проводить отладку кода на обоих языках в рамках одного сеанса, например, переключившись с типа отладки C++ на Python/Native:Ознакомиться с подробной информацией о вставке Python в приложения C++ можно в публикациив блоге Python.Кроме того, Visual Studio включаети поддерживаетв Обозревателе тестов.

Visual Studio Code создание сайта. Visual Studio Code

Visual Studio Code свободна для скачивания с официального сайта. Работаете ли Вы на Linux, Mac или Windows – не имеет значения. Вы можете скачать и запустить VS код на своей платформе.

Установка Visual Studio Code довольно проста, но если Вы застрянете, то всегда можете просмотреть документацию по установке.

Visual Studio Code является просто редактором кода на файловой основе и не имеет всех преимуществ полной интегрированной среды разработки Visual Studio .NET. Он легче по дизайну. Тем не менее, у редактора есть множество особенностей, которые поддерживают такие технологии, как IntelliSense для дополнения кода, Peek Definition для быстрого взгляда на функциональный код без навигации, реорганизацию кода и прочие. Visual Studio Code также поддерживает множество языков, например CoffeeScript, F#, Go, Jade, Java, Handlebars, Powershell и Python, для примера. Вы можете проверить языковую поддержку здесь.

Также Visual Studio Code способен поддерживать такие среды выполнения, как ASP.NET 5 и Node.JS. Если Вы их используете для веб-разработки с Microsoft Stack, можете быть уверенны, что ASP.NET 5 (новая версия ASP.NET) сейчас поддерживает кросс-платформенную разработку. Это значит, что можно разрабатывать ASP.NET-приложение в среде Linux, Mac или Windows так же, как и запускать его в любой из них. И Вам даже не нужно иметь интегрированную среду разработки Visual Studio .NET, чтобы сделать это.

Visual Studio Code – это все, что вам нужно, чтобы начать работать с ASP.NET 5, и это здорово!

Как создать C++ проект в Visual Studio Code. Using GCC with MinGW

In this tutorial, you configure Visual Studio Code to use the GCC C++ compiler (g++) and GDB debugger fromto create programs that run on Windows.

After configuring VS Code, you will compile and debug a simple Hello World program in VS Code. This tutorial does not teach you about GCC, GDB, Mingw-w64, or the C++ language. For those subjects, there are many good resources available on the Web.

If you have any problems, feel free to file an issue for this tutorial in the.

Prerequisites

To successfully complete this tutorial, you must do the following steps:

Install Visual Studio Code .

kb(workbench.view.extensions)).

Get the latest version of Mingw-w64 via MSYS2 , which provides up-to-date native builds of GCC, Mingw-w64, and other helpful C++ tools and libraries. You can download the latest installer from the MSYS2 page or use this link to the installer .

Follow the Installation instructions on the MSYS2 website to install Mingw-w64. Take care to run each required Start menu andpacmancommand.

Install the Mingw-w64 toolchain (pacman -S --needed base-devel mingw-w64-x86_64-toolchain). Run thepacmancommand in a MSYS2 terminal. Accept the default to install all the members in thetoolchaingroup.

Add the path to your Mingw-w64binfolder to the Windows

1. In the Windows search bar, type 'settings' to open your Windows Settings.
2. Search for Edit environment variables for your account .
3. Choose thePathvariable in your User variables and then select Edit .
4. Select New and add the Mingw-w64 destination folder path to the system path. The exact path depends on which version of Mingw-w64 you have installed and where you installed it. If you used the settings above to install Mingw-w64, then add this to the path:C:\msys64\mingw64\bin.
5. Select OK to save the updated PATH. You will need to reopen any console windows for the new PATH location to be available.

Как изменить версию Python в Visual Studio Code. 17 ответов

ОБНОВЛЕНИЕ . Сначала прочтите часть обновления №1 внизу

(Сначала попробуйте обновить №1) Глядя на ваши скриншоты, я вижу, что вы используете расширение Code Runner. Думаю, именно так вы запускаете свои программы. Я не знаю, как это работает внутри, но добавление этой строки в файл Code-Runner extension setting.json исправило это:

"code-runner.executorMap.python": {… "python": "python3 -u", …}

Нашел в репозитории Code-Runner GitHub: https://github.com/formulahendry/ vscode-code-runner / issues / 366

Если вы наберете «python --help», вы увидите, что флаг «-u» означает «небуферизованный двоичный stdout и stderr …» - не знаю, почему это имеет значение здесь.

Обновление №1 . В дальнейшем это стало не очень удобно - я начал использовать вирусные среды python и решение, указанное выше. не удалось запустить эти среды, потому что python3 (символическая ссылка) всегда ссылается на одну и ту же среду python.

C++ в Visual Studio Code. Configure VS Code for Microsoft C++

In this tutorial, you configure Visual Studio Code to use the Microsoft Visual C++ compiler and debugger on Windows.

After configuring VS Code, you will compile and debug a simple Hello World program in VS Code. This tutorial does not teach you details about the Microsoft C++ toolset or the C++ language. For those subjects, there are many good resources available on the Web.

If you have any problems, feel free to file an issue for this tutorial in the.

Prerequisites

To successfully complete this tutorial, you must do the following:

Install Visual Studio Code .

Install the Microsoft Visual C++ (MSVC) compiler toolset.

If you have a recent version of Visual Studio, open the Visual Studio Installer from the Windows Start menu and verify that the C++ workload is checked. If it's not installed, then check the box and select the Modify button in the installer.

You can also install the Desktop development with C++ workload without a full Visual Studio IDE installation. From the Visual Studiopage, scroll down until you see Tools for Visual Studio under the All Downloads section and select the download for Build Tools for Visual Studio 2022 .

This will launch the Visual Studio Installer, which will bring up a dialog showing the available Visual Studio Build Tools workloads. Check the Desktop development with C++ workload and select Install .

Note : You can use the C++ toolset from Visual Studio Build Tools along with Visual Studio Code to compile, build, and verify any C++ codebase as long as you also have a valid Visual Studio license (either Community, Pro, or Enterprise) that you are actively using to develop that C++ codebase.

Check your Microsoft Visual C++ installation

To use MSVC from a command line or VS Code, you must run from a Developer Command Prompt for Visual Studio . An ordinary shell such as PowerShell, Bash, or the Windows command prompt does not have the necessary path environment variables set.

To open the Developer Command Prompt for VS, start typing 'developer' in the Windows Start menu, and you should see it appear in the list of suggestions. The exact name depends on which version of Visual Studio or the Visual Studio Build Tools you have installed. Select the item to open the prompt.

You can test that you have the C++ compiler,

If the Developer Command Prompt is using the BuildTools location as the starting directory (you wouldn't want to put projects there), navigate to your user folder (C:\users\{your username}\) before you start creating new projects.

Note : If for some reason you can't run VS Code from a Developer Command Prompt , you can find a workaround for building C++ projects with VS Code in.

Create Hello World

From the Developer Command Prompt, create an empty folder called "projects" where you can store all your VS Code projects, then create a subfolder called "helloworld", navigate into it, and open VS Code (code) in that folder (

The "code ." command opens VS Code in the current working folder, which becomes your "workspace". As you go through the tutorial, you will see three files created in a.vscodefolder in the workspace:

tasks.json(build instructions) launch.json(debugger settings) c_cpp_properties.json(compiler path and IntelliSense settings)

Add a source code file

In the File Explorer title bar, select the New File button and name the filehelloworld.cpp.

Add hello world source code

Now paste in this source code:

#include #include #include using namespace std ; int main () { vector msg { "Hello" , "C++" , "World" , "from" , "VS Code" , "and the C++ extension!" }; for ( const string& word : msg) { cout

The Activity Bar on the far left lets you open different views such as Search , Source Control , and Run . You'll look at the Run view later in this tutorial. You can find out more about the other views in the VS Code.

Note : When you save or open a C++ file, you may see a notification from the C/C++ extension about the availability of an Insiders version, which lets you test new features and fixes. You can ignore this notification by selecting theX( Clear Notification ).

Explore IntelliSense

In your newhelloworld.cppfile, hover overvectororstringto see type information. After the declaration of themsgvariable, start typingmsg.as you would when calling a member function. You should immediately see a completion list that shows all the member functions, and a window that shows the type information for themsgobject:

You can press the Tab key to insert the selected member; then, when you add the opening parenthesis, you will see information about any arguments that the function requires.

Run helloworld.cpp

Remember, the C++ extension uses the C++ compiler you have installed on your machine to build your program. Make sure you have a C++ compiler installed before attempting to run and debughelloworld.cppin VS Code.

Openhelloworld.cppso that it is the active file.

Press the play button in the top right corner of the editor.

Choose C/C++: cl.exe build and debug active file from the list of detected compilers on your system.

You'll only be asked to choose a compiler the first time you runhelloworld.cpp. This compiler will be set as the "default" compiler intasks.json

If you get an error trying to build and debug with cl.exe, make sure you haveusing thecode .shortcut.

The first time you run your program, the C++ extension createstasks.json, which you'll find in your project's.vscodefolder.stores build configurations.

Как обновить питон в VS Code. Getting Started with Python in VS Code

This tutorial introduces you to VS Code for Python development - primarily how to edit, run, and debug code through the following tasks:

• Write, run, and debug a Python "Hello World" Application
• 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 thewithin the context of VS Code for an introduction to the language.

If you have any problems, you can search for answers or ask a question on the.

Prerequisites

To successfully complete this tutorial, you need to first setup your Python development environment. Specifically, this tutorial requires:

• Python 3
• VS Code

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. 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 supported Python versions .

For additional information about using Python on Windows, see

macOS

The system install of Python on macOS is not supported. Instead, a package management system likeis recommended. To install Python using Homebrew on macOS usebrew install python3at the Terminal prompt.

Note On macOS, make sure the location of your VS Code installation is included in your PATH environment variable. Seefor more information.

Linux

The built-in Python 3 installation on Linux works well, but to install other Python packages you must installpipwith.

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 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:

python3 --version

If the installation was successful, the output window should show the version of Python that you installed.

Note You can use the

Start VS Code in a workspace folder

.vscode/settings.json, which are separate from user settings that are stored globally.

Using a command prompt or terminal, create an empty folder called "hello", navigate into it, and open VS Code (code) in that folder (

mkdir hello cd hello code .

Note : If you're using an Anaconda distribution, be sure to use an Anaconda command prompt.

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. Thus, in order to run Python code and get Python IntelliSense, you must tell VS Code which interpreter to use.

kb(workbench.action.showCommands)), start typing the Python: Select Interpreter command to search, then select the command. You can also use theoption 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.

Requests Python Visual Studio. Flask Tutorial in Visual Studio Code

Flask is a lightweight Python framework for web applications that provides the basics for URL routing and page rendering.

Flask is called a "micro" framework because it doesn't directly provide features like form validation, database abstraction, authentication, and so on. Such features are instead provided by special Python packages called Flask extensions. The extensions integrate seamlessly with Flask so that they appear as if they were part of Flask itself. For example, Flask doesn't provide a page template engine, but installing Flask includes the Jinja templating engine by default. For convenience, we typically speak of these defaults as part of Flask.

In this Flask tutorial, you create a simple Flask app with three pages that use a common base template. Along the way, you experience a number of features of Visual Studio Code including using the terminal, the editor, the debugger, code snippets, and more.

The completed code project for this Flask tutorial can be found on GitHub:.

If you have any problems, you can search for answers or ask a question on the.

Prerequisites

To successfully complete this Flask tutorial, you must do the following (which are the same steps as in the):

Install the Python extension .

Install a version of Python 3 (for which this tutorial is written). Options include:

• (All operating systems) A download from python.org ; typically use the Download button that appears first on the page.
• (Linux) The built-in Python 3 installation works well, but to install other Python packages you must runsudo apt install python3-pipin the terminal.
• (macOS) An installation through Homebrew on macOS usingbrew install python3.
• (All operating systems) A download from Anaconda (for data science purposes).

pathat the command prompt. If the Python interpreter's folder isn't included, open Windows Settings, search for "environment", select Edit environment variables for your account , then edit the Path variable to include that folder.

Create a project environment for the Flask tutorial

In this section, you will create a virtual environment in which Flask is installed. Using a virtual environment avoids installing Flask into a global Python environment and gives you exact control over the libraries used in an application.

On your file system, create a folder for this tutorial, such ashello_flask.

In VS Code, open the Command Palette ( View > Command Palette or (kb(workbench.action.showCommands))). Then select the Python: Create Environment command to create a virtual environment in your workspace. Selectvenvand then the Python environment you want to use to create it.

Note : If you want to create an environment manually, or run into error in the environment creation process, visit thepage.

After your virtual environment creation has been completed, run Terminal: Create New Terminal (

Note : On Windows, if your default terminal type is PowerShell, you may see an error that it cannot run activate.ps1 because running scripts is disabled on the system. The error provides a link for information on how to allow scripts. Otherwise, use Terminal: Select Default Profile to set "Command Prompt" or "Git Bash" as your default instead.