#Thonny virtualenv how to#
#Thonny virtualenv install#
#Thonny virtualenv full#

from excel import OpenExcel VSCode SetupĪt first, if you open the test.py file, assuming you have Python linter extension installed, VSCode will show an error like this. We will create test.py that will import from the excel package that we just installed. We installed said application, Thonny, on our Raspberry Pi and fired i.

#Thonny virtualenv install#

We will install a package in the virtual environment so that we can test if the setup is working as expected. We recently helped an online friend with an application that was completely new to us. Now, let us activate the virtual environment source venv/bin/activate virtualenvs directory, create a new virtual environment using virtualenv virtualenv venv To do so, open up your PowerShell and execute the following commands. Since Python 3.3, a subset of it has been integrated into the standard library under the venv module. To set up a virtual environment, we first need to install the package virtualenv using pip. This is where we will keep all our virtual environments. Virtualenv virtualenv is a tool to create isolated Python environments. Install virtualenv using pip: pip install virtualenvĬheck your installation: virtualenv -version Create a Virtual Environmentįirst, let us create a folder. We will be using virtualenv to create our python virtual environments. If you are only interested in the VSCode setup, skip to the VSCode setup section directly. If you are looking to build Python 3 applications to run on your Pi, then you may find this article useful for you. Therefore, I tend to do the same when it comes to.

#Thonny virtualenv full#

The output is a full list of installed packages in your current project: matplotlib numpy pandas scikit-learn scipy.

Just for the sake of completeness, we will start by installing virtualenv and creating a virtual environment. Whenever I am working on a Python 3 project, I will always use a Python 3 virtual environment for running that project. To view a list of installed Python packages in your currently active project using the ActiveState Platform, run the following command on the command line: state show packages.

#Thonny virtualenv how to#

This article shows how to use a Python virtual environment in VSCode, without having to change the pythonPath in VSCode settings. Select it, now the issue should be resolved. Now, you will be able to see the virtual environment python interpreter in the interpreter list. Add /.virtualenvs to the Venv Path settings, like so: Restart VSCode and click on the interpreter version on the left-bottom corner. Most of the solutions found on StackOverflow and Github were suggesting to change the pythonPath in VSCode settings. Open VSCode preferences ( Ctrl + ,) and search for venv. The solution was very simple, but I couldn’t find it on Google. They essentially allow you to create a virtual isolated Python installation and install packages into that virtual installation. When trying to use a Python virtual environment in VSCode, it was not detecting the virtual environment. venv (for Python 3) and virtualenv (for Python 2) allow you to manage separate package installations for different projects.