Do not read a PDF passively. Use a PDF reader that supports highlighting and sticky notes (e.g., Zotero, Foxit, or even OneNote).
"Foundations of Data Science" refers to two distinct, prominent works: the theoretical, high-level mathematical text by Blum, Hopcroft, and Kannan, and the practical, Python-focused implementation guide by John M. Shea. The former focuses on high-dimensional space and algorithms, while the latter emphasizes hands-on data wrangling and application. A detailed review of the practical guide is available at Plain English . Foundations of data science? - Probably Overthinking It foundations of data science technical publications pdf