What’s in your Pocket? Visualizing your Reading List with Python

The author, Lesley Cordero, shares her experience with using Pocket, a content-saving app, to visualize her reading list. She uses the Pocket API to retrieve data about her saved articles and analyzes it to estimate how many books she has read this year. The analysis involves counting words from article titles and creating a wordcloud visualization of the most frequent words. The author uses Python with libraries such as nltk, requests, and wordcloud to achieve this. She provides step-by-step instructions on setting up the environment, obtaining Pocket API keys, and running the code in a Jupyter notebook. The final result is a wordcloud that represents her reading habits and interests.