Development Environment

Jupyter notebook

Jupyter notebook is a popular choice for practitioners and online courses alike. It combines live code, explanatory notes, and visualizations into one convenient workspace and runs from any web browser.

Jupyter notebook can be installed using the Anaconda Distribution or Python’s package manager, pip. As an experienced Python user, you may wish to install the Jupyter Notebook via pip. There are instructions on the Jupyter Notebook website outlining this option.

Beginners way of environment setup

Step 1

The Anaconda Distribution option offers an easy click-and-drag setup. This installation option will direct you to the Anaconda website. From there, you can select your preferred installation for Windows, macOS, or Linux. Again, you can find instructions available on the Anaconda website based on your operating system.

Step 2

After installing Anaconda on your machine, you’ll have access to several data science applications, including Rstudio, Jupyter Notebook, and Graphviz for data visualization through the Anaconda application. Next, you need to select Jupyter Notebook by clicking on “Launch” inside the Jupyter Notebook tab.