Python Data Science Handbook

Jake VanderPlas just dropped the full text of his “Python Data Science Handbook” online as easy-to-run notebooks, and the crowd instantly split into camps. One side showed pure nostalgia: fans praised Jake’s writing and even called back his “awesome pivot table” blog post, begging for more. Another side went full critique, asking if a “handbook” that teaches many topics lightly is really a handbook at all, or just a friendly intro dressed up with a serious title.

Then came the spice. Some wondered why the book leans on Pandas (a popular data table library) “in this day and age,” while defenders argued the point is to teach evergreen concepts you can carry anywhere. Cue the memes: “Pandas vs. Shiny New Toy: Dawn of Devs.” Meanwhile, practical voices pointed out the obvious twist—this book is about eight years old and there’s a second edition—so newcomers should check what’s been updated before diving in.

Still, the vibes were surprisingly warm. Folks loved that the text is free to read and the example code is open to reuse, with a polite nudge to support the author by buying the book. The GitHub notebooks are right here. Verdict from the comments: a welcoming on-ramp for beginners, a Rorschach test for veterans, and a surprise comeback for a beloved author.