Jupyter is a popular data science environment, and Jupyter notebooks (such as the notebook this post was written with) are a great way to create and share great data science with inline documentation (using Markdown syntax).
Jupyter is capable of running kernels in many different programming languages, but in this post we're focussed just on Python.
- Download Anaconda for your operating system from the Anaconda website. For best compatibility with modern data science packages, I suggest Python 3.6 version or newer.
- Run the downloaded installer and follow the prompts.
- Run the following command to launch the Jupyter environment in your current directory:
- By default, this will open the web interface in your default web browser, and by default at http://localhost:8888/.
- Now you can select an existing
.ipynbfile from the file navigator to open it, or create a new notebook.