Setting Up Python Development Environments with Visual Studio Code (2023)

Visual Studio Code (VS Code) has been my favorite editor for a few years. With the activity enhancement made by Microsoft and the community, VS Code has been evolved to a whole level. With the release of remote develop extension, now I can use VS Code for my daily work and my open source projects on all kinds of environments. This article is a brief tutorial of the VS Code setup for Python developments – the setup I use daily. If someone happens to want to use the VS Code for Python development, hopefully, this article could save the person’s time. VS Code has tremendous documents. Visit this linkfor more details.

Plot

This tutorial uses a simple Python project to demonstrates the VS Code setup for Python development on Windows 10, Windows Subsystem for Linux, remote Linux, and Raspbian on Raspberry Pi.

The Python project has the following layout:

project |-- mathlib | |-- __init__.py | |-- compute.py |-- test_compute.py

And the contents of compute.py and test_compute.py are:

compute.py

Python

def inc(value: int) -> int: """Return the number increased by one.""" return value + 1def dec(value: int) -> int: """Return the number decreased by one.""" return value - 1

test_compute.py

Python

from mathlib import computedef test_int(): assert compute.inc(value=5) == 6def test_dec(): assert compute.dec(value=5) == 4

Windows-Centralized Setup

Although VS Code can run on different platforms, e.g., Linux and MacOS, this tutorial uses Windows 10 as the main place to run VS Code.

Setting Up Python Development Environments with Visual Studio Code (1)

Assumptions and Requirements

The software used in this tutorial are:

  • Visual Studio Code 1.37 with extensions
    • Python 2019.8.30787
    • Remote Development 0.16.0
  • Python 3.7
  • Windows 10 1903
  • Ubuntu 18.04 (for WSL and remote Linux)
  • Raspbian on Raspberry Pi 3 B+

A typical Python development includes the virtual environment, linting, test, and debug. This tutorial uses:

All of the linters are supported by Python extension of VS Code. More details for linting can be found here.

Installation on Windows

Since Windows 10 is the host VS Code runs in this tutorial, we need to install VS Code on the Windows host.

Install VS Code

  1. Download the VS Code from here. When the tutorial is written, the latest version is 1.37.
  2. Double click the downloaded binary, VSCodeUserSetup-x64-1.37.1.exe, to install.

Install VS Code Extensions

VS Code has thousands of thousand extensions; the Python and Remote Development extensions are the minima for Python development on Windows and remote platforms.

  1. Launch VS Code.
  2. Click the extension icon Setting Up Python Development Environments with Visual Studio Code (2) or type Ctrl+Shift+X to open the extension windows.
  3. On the search bar, type Python and install it.
  4. On the search bar, type Remote Development and install it. Remote Development extension also installs Remote – Containers, Remote – SSH, Remote – SSH: Editing Configuration Files, Remote – SSH: Explore, and Remote – WSL.

After the installation, VS Code should look like:

Setting Up Python Development Environments with Visual Studio Code (3)

Setup Python Development Environment on Windows

To run Python code on Windows, we need to install Python.

Install Python

Python can be installed by 1. Microsoft Store, or 2. Python official website. Follow the instructions to install it. The latest stable version is 3.7.4 when this article is written.

Create a Virtual Environment

Assume we use C:\Workspace as the workspace for this tutorial and working_environment is our virtual environment.

cd C:\WorkspaceC:\Workspace>python -m venv working_environment

Create the Project and Setup VS Code

Now we are ready to create the project with VS Code.

(Video) Visual Studio Code (Windows) - Setting up a Python Development Environment and Complete Overview

Step 1: Launch the VS Code

Step 2: File -> Open Folder

Step 3: Create a new folder called project under C:\Workspace\

Step 4: Add folder and files shown at Plot, so it looks like:

Setting Up Python Development Environments with Visual Studio Code (4)

Once we add a Python file, VS Code automatically detects the Python environment; by default, it picks the system one.

Setting Up Python Development Environments with Visual Studio Code (5)

It may also detect something is not installed, e.g., pylint and pytest.

Setting Up Python Development Environments with Visual Studio Code (6)

Ignore them for now, since we do not want to install these to the system Python interpreter.

Step 5: We want to use the virtual environment , working_environment, we just created for this project. To do so, we need to tell VS Code the path to the virtual environment.

  1. File -> Preferences -> Settings
  2. Type venv path at the top search bar
  3. Add C:\Workspace

Setting Up Python Development Environments with Visual Studio Code (7)

Step 6: Click the Python Interpreter icon to select the working_environment. working_environment should be available now.

a. Click the icon:

Setting Up Python Development Environments with Visual Studio Code (8)

b. Choose working_environment:

Setting Up Python Development Environments with Visual Studio Code (9)

Note: If it does not show up, restart VS Code may be necessary.

More details about Python virtual environments can be found here.

Configure Linting, Type Checking, and More

By default, Pylint is enabled for Python in VS Code, but VS Code supports many other linters. This section demonstrates some of the linting setups that I use daily.

  • File -> Preferences -> Settings and type linting at the top search bar. Many linter options will show up.

Setting Up Python Development Environments with Visual Studio Code (10)

(Video) Visual Studio Code (Mac) - Setting up a Python Development Environment and Complete Overview

Enable and Install pydocstyle

  • Check the box of pydocstyle option.

    Setting Up Python Development Environments with Visual Studio Code (11)

  • As soon as we check the box, an install option pops up. Click it to install pydocstyle.

    Setting Up Python Development Environments with Visual Studio Code (12)

  • If we want to add non-default options for pydocstyle, click the Add Item button.

    Setting Up Python Development Environments with Visual Studio Code (13)

    Add the argument we want. For example, if we want to use numpy style, add --convention=numpy.

    Setting Up Python Development Environments with Visual Studio Code (14)

  • And click OK button. It will look like:

    Setting Up Python Development Environments with Visual Studio Code (15)

    Note: The complete arguments of pydocstyle can be found at http://www.pydocstyle.org/en/4.0.0/usage.html#command-line-interface.

Enable and Install mypy

  • Check the box of mypy option.

    Setting Up Python Development Environments with Visual Studio Code (16)

  • Install mypy.

    Setting Up Python Development Environments with Visual Studio Code (17)

Enable and Install pep8

Do the same thing as the previous step to enable and install pep8.

  • Check the box of pep8 option.

    Setting Up Python Development Environments with Visual Studio Code (18)

  • Install pep8.

    Setting Up Python Development Environments with Visual Studio Code (19)

Note: All the linters are installed on the working_environment.

More details of VS Code with Linting can be found here.

Testing and Debugging

For the setups of testing and debugging, VS Code has very comprehensive documents:

Now, we should have a working environment for our Python projects with VS Code.

Setting Up Python Development Environments with Visual Studio Code (20)

Setup Python Development Environment on Linux via SSH

The VS Code Remote – SSH extension allows us to open a remote folder on a remote machine with a running SSH server and take full advantage of VS Code such as auto-completion, debugging, and linting.

Setting Up Python Development Environments with Visual Studio Code (21)

Assumption: This section assumes that we have a remote Linux (Ubuntu 18.04) with SSH enabled.

Step 1: Install OpenSSH Client on the Windows 10 Host

To install OpenSSH, do the following:

(Video) My Python Development Environment Setup - Full Tutorial

Settings -> Apps -> Apps & features -> Optional features -> Optional features -> Add a feature (if OpenSSH client is not already installed). Find OpenSSH client and click ‘’Install’’. After the installation completes, it should look like:

Setting Up Python Development Environments with Visual Studio Code (22)

More options for OpenSSH can be found here.

Step 2: Setup the SSH Key

On the Windows 10 host, launch Command Prompt and do the following steps:

  • Generate an SSH key pair. And accept all the default value.
    C:\Users\user> ssh-keygen -t rsa -b 4096
  • Add the contents of the local public key (the id_rsa.pub) to the appropriate authorized_keys file on the SSH host, i.e., the remote Linux).
    C:\Users\user> SET REMOTEHOST=your-user-name-on-host@host-fqdn-or-ip-goes-here
  • Copy the local public key to the remote Linux.
    C:\Users\user> scp %USERPROFILE%\.ssh\id_rsa.pub %REMOTEHOST%:~/tmp.pubssh %REMOTEHOST% "mkdir -p ~/.ssh && chmod 700 ~/.ssh && cat ~/tmp.pub >> ~/.ssh/authorized_keys && chmod 600 ~/.ssh/authorized_keys && rm -f ~/tmp.pub"

Step 3: Connect to the Remote Linux Host

  • Launch VS Code on Windows 10
  • Click the remote development icon Setting Up Python Development Environments with Visual Studio Code (23) and click the Configure an SSH host. Or type Ctrl+Shift+P to start Command Palette and type Remote-SSH: Connect to Host… and select Configure SSH Hosts…

    Setting Up Python Development Environments with Visual Studio Code (24)

  • Choose the appropriate config file. It may look like C:\Users\user\.ssh\config.
  • Edit the config file by adding the Linux host information. The config may look like:

    Setting Up Python Development Environments with Visual Studio Code (25)

  • Click the name of the remote machine (in this example, its name is remote-ubuntu) to connect to the remote machine.

    Setting Up Python Development Environments with Visual Studio Code (26)

  • A new window of VS Code will open and ask the user to enter the password.

    Setting Up Python Development Environments with Visual Studio Code (27)

  • Once the connection is established. The icon Setting Up Python Development Environments with Visual Studio Code (28) will be shown.
  • Install Python extension on the remote Linux. The Python extension has been installed on the Windows host, but in order to provide all Python features that VS Code provides, we need to install the Python extension on the remote Linux.
    1. Click the extension icon Setting Up Python Development Environments with Visual Studio Code (29). It should show something like the picture below:

      Setting Up Python Development Environments with Visual Studio Code (30)

      The bottom section indicates the extensions installed on the local machine, i.e., Windows 10 in this example. The top section indicates the extensions installed on the remote machine, i.e., Ubuntu 18.04 in this case. Now the remote machine does not have any extension installed.

    2. To install the Python extension, click the install button Setting Up Python Development Environments with Visual Studio Code (31).
    3. Once the installation completes, the extension window becomes:

      Setting Up Python Development Environments with Visual Studio Code (32)

Step 4: Setup the Project

On the Remote Linux

Now, we can create a virtual environment and a Python project on remote Linux.

  • SSH to the remote Linux machine.
  • Create a workspace folder:
    $ mkdir workspace $ cd workspace/
  • Create a virtual environment, working_environment:
    $ python3.7 -m venv working_environment
  • Create a project folder:
    $ mkdir project

On the Windows Host

  • If we try to open a folder by File -> Open Folder. It will show the filesystem on the remote Linux. Select the project folder created above.

    Setting Up Python Development Environments with Visual Studio Code (33)

  • Repeat the steps mentioned in the section: Create the Project and Setup VS Code.
    Note: The settings we changed for Windows are per user. Here, we should change the settings for Remote.

    Setting Up Python Development Environments with Visual Studio Code (34)

    Now, VS Code should be ready for Python development on the remote Linux machine.

    Setting Up Python Development Environments with Visual Studio Code (35)

    More details of remote development with VS Code can be found here.

Setup Python Development Environment on Raspberry Pi via SSH

The remote development setup on Raspberry Pi is the same as regular Linux such as Ubuntu. However, the current remote development of VS Code does not support ARM architecture. Raspberry Pi 3 is ARM architecture. Therefore, to do the remote develop via SSH on Raspberry Pi, we need to use Visual Studio Code – Insiders.

Download and Install Visual Studio Code – Insiders

  1. Download VS Code – Insiders from https://code.visualstudio.com/insiders/
  2. Follow the instructions to install VS Code – Insiders

Once the VS Code – Insiders is installed. Follow the steps mentioned at Setup Python Development Environment on Linux via SSH. The steps are the same. The only difference is the remote Linux machine becomes Raspbian on Raspberry Pi.

The user experience for VS Code – Insiders with Raspberry Pi should be exactly the same as VS Code with remote Linux.

Setting Up Python Development Environments with Visual Studio Code (36)

(Video) Powerful VSCode Tips And Tricks For Python Development And Design

Setup Python Development Environment with WSL

The Windows Subsystem for Linux brings developers the Linux environment experience directly on Windows without using a virtual machine. With the Remote Development extension of VS Code, we can enjoy the full features of VS Code, and develop, run and debug Linux-based applications on Windows.

Setting Up Python Development Environments with Visual Studio Code (37)

Step 1: Enable and Install WSL

Follow the instructions to enable and install WSL: https://docs.microsoft.com/en-us/windows/wsl/install-win10

Step 2: Create a Virtual Environment and the Project

From the WSL command line, issue the following commands:

  • Create a workspace:

    Python

    $ mkdir workspace $ cd workspace 
  • Create a virtual environment, working_environment:

    Python

    $ python3.7 -m venv working_environment
  • Create a project folder:

    Python

    $ mkdir project

Step 3: Connect to WSL from VS Code

  • Launch VS Code.
  • Type Ctrl+Shift+P to start Command Palette and type Remote-WSL: New Window.

    Setting Up Python Development Environments with Visual Studio Code (38)

  • After select Remote-WSL: New Window, a new VS Code window will show up and connect to the WSL. On the left bottom, this icon Setting Up Python Development Environments with Visual Studio Code (39) indicates VS Code has connected to the WSL.
  • Install Python extension on the WSL. Same as Remote SSH, we need to install the Python extension on the WSL. Click the button to install.

    Setting Up Python Development Environments with Visual Studio Code (40)

Step 4: Setup the Project

Once the VS Code connects to the WSL, we should be able to setup the Python project as we setup the project for Windows and remote Linux.

  • Open the project folder.

    Setting Up Python Development Environments with Visual Studio Code (41)

  • Repeat the steps mentioned in the section: Create the Project and Setup VS Code.
    Note: same as Remote SSH, for WSL, we should change the settings under Remote [WSL: Ubuntu-18.04].

    Setting Up Python Development Environments with Visual Studio Code (42)

Now, VS Code should be ready for Python development with the WSL.

Setting Up Python Development Environments with Visual Studio Code (43)

More details of remote develop with WSL can be found here.

Conclusion

VS Code is highly extensible and configurable through extensions and settings, so developers can add features via extensions and configure VS Code to enhance our workflow. In additional to Python and Remote Development extensions, here is the list of extensions I think useful and use daily.

Although this tutorial uses Windows 10 as the host for VS Code, VS Code can be installed and run on Linux and Mac as well. The setup described in the article can be applied to Linux and Mac. Hopefully, you found this article useful.

(This post appeared first on Shun's Vineyard.)

(Video) VS Code Setup with Python Virtual Environments

History

  • 8th September, 2019: Initial version

My name is Shun. I am a software engineer and a Christian. I currently work at a startup company.
My Website: https://shunsvineyard.info
Email: zsh@shunsvineyard.info

FAQs

Is VS Code good enough for Python? ›

One of the coolest code editors available to programmers, Visual Studio Code, is an open-source, extensible, light-weight editor available on all platforms. It's these qualities that make Visual Studio Code from Microsoft very popular, and a great platform for Python development.

How do I create a virtual environment in Python Visual Studio? ›

Right-click Python Environments in Solution Explorer and select Add Environment. In the Browse dialog that appears, navigate to and select the folder that contains the virtual environment, and select OK. If Visual Studio detects a requirements. txt file in that environment, it asks whether to install those packages.

How do I activate the Python virtual environment in Visual Studio Code terminal? ›

To use a virtual environment for your project/workspace, you need to first make a new one by opening a terminal ( View > Terminal ) and typing python -m venv . venv . Then, you can set the default interpreter for that project by opening the Command Palette ( CTRL+SHIFT+P ) and selecting > Python: Select Interpreter .

Is there a better IDE than VS Code? ›

Atom, Visual Studio, Eclipse, IntelliJ IDEA, and WebStorm are the most popular alternatives and competitors to Visual Studio Code.

How much RAM is required to run VS Code? ›

VS Code is lightweight and should easily run on today's hardware. We recommend: 1.6 GHz or faster processor. 1 GB of RAM.

What is the best Python virtual environment? ›

Two most popular virtual environment libraries for Python are venv and virtualenv. The difference between these two are negligible. However, there is one big difference and that is venv is a standard library that does not need to be installed while virtualenv needs to be installed with pip.

Should I create a virtual environment for every Python project? ›

A virtual Environment should be used whenever you work on any Python-based project. It is generally good to have one new virtual environment for every Python-based project you work on. So the dependencies of every project are isolated from the system and each other.

How do you create a virtual environment in VS code? ›

From within VS Code, you can create non-global environments, using virtual environments or Anaconda, by opening the Command Palette (Ctrl+Shift+P), start typing the Python: Create Environment command to search, and then select the command. The command presents a list of environment types: Venv or Conda.

How do you create a virtual environment in Python? ›

Creation of virtual environments is done by executing the command venv :
  1. python3 -m venv /path/to/new/virtual/environment.
  2. c:\>c:\Python35\python -m venv c:\path\to\myenv.
  3. c:\>python -m venv c:\path\to\myenv.

How do I get Visual Studio to recognize Python? ›

Select the Add Environment command in the Python Environments window or the Python toolbar, select the Python installation tab, indicate which interpreters to install, and select Install. You can also manually install any of the interpreters listed in the table below outside of the Visual Studio installer.

Is PyCharm better than VS Code? ›

PyCharm and VSCode provide similar code management features, but PyCharm stands out with the ability to “Search Everywhere.” UI elements, classes, and files are all fair game for Search Everywhere, even if what you're looking for isn't in the current project.

How do I activate my venv? ›

Activate the virtual environment
  1. On Unix or MacOS, using the bash shell: source /path/to/venv/bin/activate.
  2. On Unix or MacOS, using the csh shell: source /path/to/venv/bin/activate.csh.
  3. On Unix or MacOS, using the fish shell: source /path/to/venv/bin/activate.fish.
15 Apr 2022

How do I know if my venv is active? ›

Note: Before installing a package, look for the name of your virtual environment within parentheses just before your command prompt. In the example above, the name of the environment is venv . If the name shows up, then you know that your virtual environment is active, and you can install your external dependencies.

How do I create a virtual environment and activate it? ›

Create a Virtual Environment using “virtualenv”
  1. Install the virtualenv. ...
  2. Create a virtual environment. ...
  3. Create an environment with a specific version of Python. ...
  4. Activate the virtual environment. ...
  5. Deactivate the virtual environment. ...
  6. Check which Environment you are in. ...
  7. Remove an environment.
22 Mar 2020

Is Visual Studio Code enough? ›

A developer can rely on Visual Studio Code for all kinds of development, as long as they pair it with the right tools. VS Code comes with built-in support for JavaScript, Node. js, and TypeScript.

Is Visual Studio 2022 better than Visual Studio Code? ›

While Visual Studio Code is highly configurable, Visual Studio is highly complete. Your choice may depend as much on your work style as on the language support and features you need. Let's take a look at the capabilities and the trade-offs of these two development tools.

Can VS Code replace IDE? ›

Highly flexible (there's thousands of extensions you can install) You can make VS Code do pretty much anything you want. Although it is designed to be a "code editor" and not an IDE, you can almost exactly replicate the features of an IDE by installing VS Code extensions.

Is 8GB RAM enough for VS Code? ›

A laptop with 4GB of RAM should suffice. However, application or software developers who need to run virtual machines, emulators and IDEs to compile massive projects will need more RAM. A laptop with at least 8GB of RAM is ideal.

Is 4GB RAM enough for VS Code? ›

I would say no. Nothing less than 8, but hopefully 16. Reason is that one VS instance takes about 1 GB to just run. Then you add inn Chrome or some other browser, skype/slack/teams, outlook, etc... and just the baseline requirements to run Windows, and you'll probably end up using more than 4 GB.

Is Visual Studio RAM Heavy? ›

Requires 1 GB of RAM (1.5 GB if running on a virtual machine) Requires 1 GB of available hard disk space. Requires 1024 by 768 or higher display resolution. For the best experience, use the most recent update of these diagnostic tools for your version of Visual Studio.

Which IDE is fastest for Python? ›

Top Python IDEs
  • IDLE. IDLE (Integrated Development and Learning Environment) is a default editor that accompanies Python. ...
  • PyCharm. PyCharm is a widely used Python IDE created by JetBrains. ...
  • Visual Studio Code. Visual Studio Code is an open-source (and free) IDE created by Microsoft. ...
  • Sublime Text 3. ...
  • Atom. ...
  • Jupyter. ...
  • Spyder. ...
  • PyDev.
20 Oct 2022

What is the difference between Python venv and virtualenv? ›

These are almost completely interchangeable, the difference being that virtualenv supports older python versions and has a few more minor unique features, while venv is in the standard library.

What are two advantages of using Python virtual environments? ›

virtualenv is a tool used to create an isolated workspace for a Python application. It has various advantages such as the ability to install modules locally, export a working environment, and execute a Python program in that environment.

Do I have to activate venv every time? ›

Activating the virtualenv gives you convenience. It is never required. Activating makes the PATH update stick until you deactivate again, and that can be convenient.

Should you always use venv? ›

Always use a Virtual Environment

You are in control of which packages versions are installed and when they are upgraded. You can have as many venvs as you want.

Should I have a venv for each project? ›

You should always create a virtual environment. It's easy to interact with, and it allows you to avoid conflicts between projects. Save this answer.

How does VS Code choose the environment? ›

Selecting & Switching Between the Environments in VS Code
  1. Press ctrl+shift+P to open VS Code's command palette . You should be seeing something like this:
  2. Type interpreter in the search box. And select the Python: Select Interpreter option.

How do I install python packages in Visual Studio Code? ›

Install packages using the Python Environments window
  1. From the Python Environments window, select the default environment for new Python projects and choose the Packages tab. ...
  2. Install matplotlib by entering its name into the search field and then selecting the Run command: pip install matplotlib option.
25 Oct 2022

Why virtual environment is not activating in VS Code? ›

A python file should be already open in the editor, and be the active tab, and then start a new terminal then the virtual environment is detected and activated. If no file is open, or the active open file is not a python file (html for example), starting a new terminal does not activate the venv.

What is Python venv? ›

The module used to create and manage virtual environments is called venv . venv will usually install the most recent version of Python that you have available. If you have multiple versions of Python on your system, you can select a specific Python version by running python3 or whichever version you want.

What are the two main components of a Python virtual environment? ›

A Python virtual environment consists of two essential components: the Python interpreter that the virtual environment runs on and a folder containing third-party libraries installed in the virtual environment.

How do you set environment variables in Python? ›

To permanently modify the default environment variables, click Start and search for 'edit environment variables', or open System properties, Advanced system settings and click the Environment Variables button. In this dialog, you can add or modify User and System variables.

Do I need to download Python if I have Visual Studio Code? ›

You must install a Python interpreter yourself separately from the extension. For a quick install, use Python from python.org and install the extension from the VS Code Marketplace. Once you have a version of Python installed, activate it using the Python: Select Interpreter command.

How do I run a Python file in Visual Studio 2022? ›

Launch Visual Studio 2022 and in the start window, select Open at the bottom of the Get started column. Alternately, if you already have Visual Studio running, select the File > Open > Folder command instead. Navigate to the folder containing your Python code, then choose Select Folder.

What are the disadvantages of VS Code? ›

Cons: Some settings are not very easy to toggle. For some extensions also the settings are not so easy as they require configuration file changes which might be difficult for beginner users. Sometimes the name 'Visual Studio Code' confuses people with Microsoft's IDE 'Microsoft Visual Studio'.

Is VS Code better than Jupyter? ›

The early releases of VS Code sought to replicate existing Jupyter Notebook features in VS Code. Recent VS Code releases have continued to develop notebook features that provide an experience that in many cases is better than the traditional Jupyter Notebook experience.

Why VS Code is so popular? ›

It's Free (open source). It's written in Typescript, meaning bugs in the program are less weird than other Electron things are, usually. (Not everyone uses strong types when writing JavaScript apps, and that's terrible.)

Can a venv run without Python? ›

No; virtualenv just manages which Python installation is used to run code. In the extreme, it installs a version of Python in your virtual environment directory. In no way is it capable of running Python code itself.

Where should venv be placed? ›

The virtual environment tool creates a folder inside the project directory. By default, the folder is called venv , but you can give it a custom name too. It keeps Python and pip executable files inside the virtual environment folder.

Does venv come with pip? ›

In fact, virtualenv comes with a copy of pip which gets copied into every new environment you create, so virtualenv is really all you need. You can even install it as a separate standalone package (rather than from PyPI).

Should I use venv or Conda? ›

venv is an environment manager for Python . conda is both a package and environment manager and is language agnostic . Whereas venv creates isolated environments for Python development only, conda can create isolated environments for any language (in theory).

Should venv be hidden? ›

venv suggests it's private. So would not recommend that at all. Some tools use . venv but in that case the intent is that the user will not interract with the venv directly, but rather through the tool (e.g. poetry).

Is Conda better than venv? ›

Lastly, Conda is both an environments manager as well as a package manager like PIP. Useful comparison table here. In short, if you don't have a strong preference already, conda is more robust than venv or pip, can be combined with pip, and is probably the better default option.

How do I check my virtual environment in Python? ›

Check the $VIRTUAL_ENV environment variable. The $VIRTUAL_ENV environment variable contains the virtual environment's directory when in an active virtual environment. Once you run deactivate / leave the virtual environment, the $VIRTUAL_ENV variable will be cleared/empty.

What are examples of virtual environments? ›

Email, chat, and web-based document sharing applications are all examples of virtual environments. Simply put, it is a networked common operating space.

What makes a successful virtual environment? ›

To build a successful virtual team, it's essential to build trust and facilitate communication. Knowledge-sharing is also critical to building a successful virtual team. This is even more important due to the recent lack of in-person interaction.

Is VS Studio good for Python? ›

Visual Studio is a powerful Python IDE on Windows. Visual Studio provides open-source support for the Python language through the Python Development and Data Science workloads (Visual Studio 2017 and later) and the free Python Tools for Visual Studio extension (Visual Studio 2015 and earlier).

Should I use Visual Studio or VS Code for Python? ›

If you need to collaborate with team members on development or debugging, then Visual Studio is the better choice. If you need to do serious code analysis or performance profiling, or debug from a snapshot, then Visual Studio Enterprise will help you. VS Code tends to be popular in the data science community.

Can we run Python in VS Code? ›

Run Python code

In the text editor: right-click anywhere in the editor and select Run Python File in Terminal. If invoked on a selection, only that selection is run. In Explorer: right-click a Python file and select Run Python File in Terminal.

Is VS Code better than PyCharm for Python? ›

VSCode is a leaner program than PyCharm. It requires a 76.2 MB download and installation. The IDE consumes just 40 MB of RAM while it's running, or one-tenth of what PyCharm needs for stable performance.

Is VS Code faster than VS? ›

VS Code is comparatively much faster than Visual Studio. It can boot up faster when compared to IDE. Visual Studio Code is incredibly flexible. It can do pretty much whatever a developer wants it to do.

Is C# is better than Python? ›

In short, C# and Python are both high-level, object-oriented, and easy-to-learn languages. They ensure fast development and good performance. However, C# is more clear and organized, and it's much faster at runtime. While Python is easier to learn and write than C# and has vast standard libraries.

Which studio is best for Python? ›

Top Python IDEs
  • Visual Studio Code. ...
  • Sublime Text 3. ...
  • Atom. ...
  • Jupyter. ...
  • Spyder. ...
  • PyDev. ...
  • Thonny. Thonny is an IDE ideal for teaching and learning Python programming. ...
  • Wing. The wing is also a popular IDE that provides a lot of good features to ensure a productive environment.
20 Oct 2022

Is VS Code faster than PyCharm? ›

Microsoft's Visual Studio Code is much faster as compared to PyCharm. It is extremely lightweight as compared to PyCharm. When it comes to modular approach of wiring code, Visual Studio Code is a winner. Microsoft's IDE has a wide range of extensions, add-ons, and other libraries.

Is PyCharm faster than VS Code? ›

In the performance criteria, VS Code easily beats PyCharm. Because VS Code doesn't try to be a full IDE and keeps it simple as a text-editor, the memory footprint, startup-time, and overall responsiveness of VS Code is much better than PyCharm.

How do I run a Python script in Visual Studio 2022? ›

Run the code by pressing Ctrl+F5 or selecting Debug > Start without Debugging. You can also select the toolbar button that shows the startup item with a play button, which runs code in the Visual Studio debugger.

Can VS Code be used as IDE? ›

VS code along with extension is nothing less than an IDE. In general, VS code is more of a personalized IDE.

Can beginners use VS Code? ›

While marketing primarily to professional programmers, VS Code is an excellent editor for students and other learner just getting started with HTML and CSS. This course focuses mainly on those students and learners who in the beginner to intermediate stages of learning to code with HTML, CSS, and JavaScript.

What IDE does Google use? ›

Cloud Code is a set of IDE plugins for well-known Integrated Development Environment (IDE) like VS Code and JetBrains IntelliJ that make it easier to develop applications that use Google Cloud services.

Which IDE is best for data science? ›

6 Best Python IDEs for Data Science & Machine Learning [2023]
  • Spyder.
  • Thonny.
  • JupyterLab.
  • PyCharm. Explore our Popular Data Science Courses.
  • Visual Code.
  • Atom.
23 Sept 2022

How can I make VS Code more like PyCharm? ›

On your visual studio code, Open the extensions tab then search "Darcula PyCharm Theme" Click on install. You will achieve what you want.

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