Jupyter notebook

Jupyter notebook is popularly used for creating step by step live codes with visualizations and texts. In Chapter 3, Image Filtering and Transformations in OpenCV and Chapter 4, What is a Feature?, the codes for image filtering and feature extraction can be used with Jupyter notebook.

To launch a notebook server, run the following in shell:

jupyter notebook

This will start the browser and we can see the files inside the folder from where it is launched. After launching, click on New on top left side on the browser page and select the notebook with desired Python. A new tab in the browser will open with Python interpreter format.

Other packages such as scikit-learn, pandas, seaborn, and so on.