Then run Terminal: Create New Terminal (Ctrl+Shift+`)) from the Command Palette, that opens a new python terminal and in parallel it activates the virtual environment.Ĭonfirm that that new environment is selected (Hint: look at the blue status bar at the bottom of the VS code) and then update the pip in the virtual environment: python -m pip install -upgrade pipįinally, let’s install the pandas and flask libraries python -m pip install flask Then, select the Python: Select Interpreter command and then the environment that we created “ myenv“: Then In VS Code, open the Command Palette ( View > Command Palette or (Ctrl+Shift+P)). Then, we can open the folder “ venv_example” from the VS Code using the File > Open Folder command. Sudo apt-get install python3-venv # If needed Within this folder, we can create a virtual environment called “ myvenv” by running the following command: # Linux Create a Project Environmentįor this example, we call our project “ venv_example“, and we have created a folder with the same name. Finally, it is less risky to mess with your other projects when you work with virtual environments. This is because with the virtual environments, the project is reproducible, and we will need to install only the required libraries as stated in the requirements.txt. Moreover, it is more efficient to work with the necessary only libraries. When we work on a Data Science project, which can include a Flask API, it is better to have full control over the libraries used in the project. In this post, we will provide you a walk-through example of how to work with VS Code and virtual environments. vscode directory, create a file named launch.json if it does not already exist.We have provided examples of how to work with conda environments. vscode/settings.json file should have a line something like this: 'python.pythonPath': '/Users/kmilligan/.virtualenvs/flask/bin/python' Select Preferences > Workspace Settings from the menu.

Here’s how you can debug your app without modifying your code:įirst, be sure you have your virtual environment configured in VSCode (you are using a virtual environment, right?). You could add a run script just for debugging, but that isn’t necessary.

If you are using Flask 0.11.x, chances are you use the new “flask” command to launch your app. Originally documented by KEATH MILLIGAN on 13 October 2016 Debugging Flask Applications is as simple as debugging any other Python Application.

Visual studio code debug flask