The significance of digital humanities research has increasingly been underscored by advancements in technology, such as text mining and large language models. A key area within this field is (Critical) Discourse Studies, where researchers are leveraging computer-assisted methods, such as corpus linguistics techniques, to handle and analyze extensive discourse data. While corpus linguistics methods support various aspects of data management—from assembling large datasets to identifying key elements, or as Baker and Levon (2015) put it, ‘picking the right cherries’—challenges remain in computing discourse itself and its corresponding interpretation. Addressing this issue, Dennis Tay’s book, Data Analytics for Discourse Analysis with Python, offers valuable insights and tools for researchers in this domain.