1. Python Setup

1.1. Install Python

Check the version of python installed from the command line.

python --version

Download and install Python from https://www.python.org/downloads/.

1.2. Create a python Virtual environment

See: https://www.youtube.com/watch?v=APOPm01BVrk
Rather than installing the python packages in the system wide installation of python, a virtual environment can be created that only has the modules needed for your project.
Virtual environments allow easy maintenance of the libraries needed for the project and avoid issues that can happen when multiple dependencies conflict across multiple projects.

Create a virtual environment for the packages needed.
By default, these will be created in the users directory: C:\Users\username\.
In examples below, the virtual environment folder will be called: venv_rtd, but any suitable name can be used.

Create a virtual environment, called venv_rtd, with the default system python:

python -m venv venv_rtd

If there are different versions of python installed, use the full path to the version required to create the virtual environment.
<username> used in the paths below will be different for each user.
e.g. C:\Users\username\AppData\Local\Programs\Python\Python311\python.exe
Create a virtual environment using a specific installed version of python:

"C:\Users\username\AppData\Local\Programs\Python\Python311\python.exe" -m venv venv_rtd

1.3. Activate a python Virtual environment

Before you can start installing or using packages in your virtual environment you’ll need to activate it.
Activating a virtual environment will put the virtual environment-specific python and pip executables into your shell’s PATH.
Opening a terminal inside Visual Studio Code will automatically activate the selected virtual environment.

Activate the virtual environment:

"C:\Users\username\venv_rtd\Scripts\activate.bat"

1.4. Using the python Virtual environment in VSCode

VSCode allows the use of different python environments.

To use the python python Virtual environment in VSCode:

Choose View: Command Palette.

Into the drop down search field, type: Python : Select Interpreter

Choose the one listed that refers to the newly created venv_rtd.

1.5. Updating pip

After setting up a project, there may be a need to update the pip.

python.exe -m pip install --upgrade pip

1.6. Installing packages

To install a package such as pillow, check the output from typing in the VSCode terminal:

pip install pillow

To check the installed version numbers and other info about a package, such as pillow, check the output from typing in the VSCode terminal:

pip show pillow

1.7. Updating packages

To update installed packages, such as pillow, to the latest version, run pip install with the –upgrade or -U option.

pip install --upgrade pillow

1.8. List installed packages

To get all the installed version numbers, check the output from typing in the VSCode terminal:

pip list

To see if there are updates available, check the output from typing one of these in the VSCode terminal:

pip list -o

pip list --outdated

This lists all the outdated Python packages.
It will display a table with the following information:
Package Name: The name of the package.
Current Version: The version of the package currently installed.
Latest Version: The latest available version of the package