Vscode Code Runner Python

Posted : admin | On 05-10-2021

In this quick blogpost, I will share the steps that you can follow in order to install a Python library using pip through either the Terminal or a Jupyter Notebook in Visual Studio Code (VSCode) on a Windows computer.

I have already talked about the remote-ssh VSCode extension that changed my way to code in Python for small electronics projects with a Raspberry Pi.Here we'll take a look at an extension that makes it a lot easier to develop inside a container. There are 3 ways to run python code in vscode: from the terminal, from the python interactive window or from a notebook. Run Python from Terminal. To run python code from terminal inside VSCode, you don’t need the Python extension. Go to Terminal New Terminal. $ python yourscript.py.

  • Python tests are Python classes that reside in separate files from the code being tested. Each test framework specifies the structure and naming of tests and test files. Once you write tests and enable a test framework, VS Code locates those tests and provides you with various commands to run and debug them.
  • Python: Run Python File in Terminal: Runs the active Python file in the VS Code terminal. You can also run a Python file by right-clicking on the file and selecting Run Python File in Terminal. Python: Select Linter: Switch from Pylint to Flake8 or other supported linters. Format Document: Formats code using the provided formatter in the.

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Pre-requisites

In order to complete the steps of this blogpost, you need to install the following in your windows computer:

  • Visual Studio Code: you can find the steps to install it here.
  • Python Extension for Visual Studio Code: you can find the steps to install it here.
  • Python Interpreter: you can find the steps to install it here.

Installing a Python Library Using the Terminal in VSCode

1) Accessing Visual Studio Code Terminal

  • Open VSCode application
  • Go to the Terminal menu and select New Terminal.
  • A new terminal (PowerShell based) window is opened.

2) Importing a Python Library

  • Run the following command to validate that pip is installed in your computer.
  • Let us say that you want to install Pandas Python library.
  • Run the following command
  • Pandas library is now ready to be imported by any python application. You can repeat this process for any Python library.

Installing a Python Library Using a Jupyter Notebook in VSCode

1) Creating a Jupyter Notebook in VSCode

  • Create a Jupyter Notebook following the steps of My First Jupyter Notebook on Visual Studio Code (Python kernel)

2) Importing a Python Library

  • Run the following command to validate that pip is installed in your computer.
  • Let us say that you want to install Pandas Python library.
  • Run the following command.
  • Pandas library is now ready to be imported by any python application. You can repeat this process for any Python library.

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In this post we'll look at how to develop in Python using Visual Studio Code. I'll also show you a few extensions that can make your life much easier while working with Python!

Initial setup

When you install Python (which I recommend you do via the official installer), remember in which folder it was installed. And on Windows, make sure to tick the 'Add Python to PATH' in the first screen of the official installer.

Download Visual Studio Code and install it like you would any other application.

Open Visual Studio Code and navigate to the Extensions panel on the left hand side. There, look for the Python extension and install it

Once that's installed, you can open any folder using Visual Studio Code and create a file that ends in .py. The Python extension will use appropriate syntax highlighting and also help you code by offering you suggestions and hints.

You can change which version of Python the extension uses by clicking on the bottom left, where in the screenshot it says 'Python 3.7.4 32-bit'. This will let you select a different version from those you have already installed. Note that if you only have one version, you'll only be able to select that.

Here's a link to the Python extension: https://marketplace.visualstudio.com/items?itemName=ms-python.python

The Code Runner extension

Another extension, aptly called 'Code Runner', allows you to run your code more easily than normal. It gives VSCode a 'Play' icon at the top right, and when you click it, the selected code will run.

This is great because it allows you to either:

  • Select a portion of your code and run it, for example if you want to double-check what it does;
  • De-select all your code and just open a file, and press the 'Play' icon to run the entire file.

Do note that if you select only a portion of the code and run it, this portion cannot depend on variables or functions defined elsewhere in the code.

Link: https://marketplace.visualstudio.com/items?itemName=formulahendry.code-runner

The indent-rainbow extension

An extension called 'indent-rainbow' will color every indentation level in Python in a slightly different color, so you can very easily tell which parts of your code are at which indentation level.

This is what the extension will do:

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Link: https://marketplace.visualstudio.com/items?itemName=oderwat.indent-rainbow

The Rainbow Brackets extension

If you like the indent-rainbow extension, you might also like Rainbow Brackets extension, which highlights nested parentheses, square brackets, and curly braces in different colours, making it easier to keep track of nested brackets.

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Link: https://marketplace.visualstudio.com/items?itemName=2gua.rainbow-brackets#overview

The vscode-icons extension

While this extension is by no means required to run Python code, I use it and like it very much as it allows me to more easily scan my open files and folders by giving them nicer icons.

You can install this in order to change the icons displayed beside files and folders in your currently open project.

Vscode Code Runner Python Download

Link: https://marketplace.visualstudio.com/items?itemName=vscode-icons-team.vscode-icons

Conclusion

Vscode Code Runner Python 3

That's it! As long as your Python version is in your PATH (which happens automatically on Mac and Linux, and you must tick the box in the installer in Windows), the Python extension will straight work out of the box!

Code Runner Visual Studio Code

If you have persistent issues, Google is your best friend as tens of thousands of people use this extension, and almost all potential problems have already been discussed and solved in other occasions. The development team is also very helpful in their GitHub page.

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The GitHub page also contains extensive guides and information on how to get the extension up and running, it case it's necessary!

Hope this has been helpful and your environment is now all set up. Happy coding!