Although Jupyter Notebook is commonly used with the Anaconda distribution, running it within VS Code makes coding easier and data management smoother. For a clear introduction to Jupyter Notebook itself, see the following article (in Japanese):
qiita.com ↗
1. Install Python
Download and install the desired version of Python from the official website (python.org ↗). If you prefer Anaconda, download it from anaconda.com ↗.
2. Install Visual Studio Code
Download and install VS Code from the official website (code.visualstudio.com ↗).
3. Create a Virtual Environment and Install Jupyter
Anaconda ships with a ready-to-use Jupyter environment, whereas a standalone Python installation requires the Jupyter packages to be installed separately.
First, prepare a virtual environment. Type cmd in the Windows search bar to open the Command Prompt, and create a directory for virtual environments. In this example, a virtual environment named jupyter is created in C:\venv.
> cd C:\
> mkdir venv
> cd venv
> python -m venv jupyterActivate the environment and install the Jupyter packages.
> C:\venv\jupyter\Scripts\activate
(jupyter) > pip install jupyter ipykernelOpen an .ipynb file in VS Code and choose the Python interpreter of this environment via “Select Kernel” in the upper-right corner to run the notebook.