Python Data Science Handbook
jakevdp.github.io
Python Data Science Handbook
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Re: Python Data Science Handbook
#2He's a great writer and I miss his blog. He had an awesome post on pivot table that I think is now a part of this book.
Re: Python Data Science Handbook
#3These types of books are always interesting to me because they tackle so many different things. They cover a range of topics at a high level (data manipulation, visualization, machine learning) and each could have its own book. They balance teaching programming while introducing concepts (and sometimes theory).
In short I think it's hard to strike an appropriate balance between these but this seems to be a good intro level book.
Re: Python Data Science Handbook
#4Interesting choice of Pandas in this day and age. Maybe he’s after imparting general concepts that you could apply to any tabular data manipulator rather than selecting for the latest shiny tool.
Re: Python Data Science Handbook
#5Interesting choice of Pandas in this day and age. Maybe he’s after imparting general concepts that you could apply to any tabular data manipulator rather than selecting for the latest shiny tool.
It was originally published in 2016, and I think this is still the first edition.
Re: Python Data Science Handbook
#6Interesting choice of Pandas in this day and age. Maybe he’s after imparting general concepts that you could apply to any tabular data manipulator rather than selecting for the latest shiny tool.
What's wrong with Pandas?
Re: Python Data Science Handbook
#7I wouldn't say it's a handbook because it's more like an introduction. But it's pretty well written.
Re: Python Data Science Handbook
#8Interesting choice of Pandas in this day and age. Maybe he’s after imparting general concepts that you could apply to any tabular data manipulator rather than selecting for the latest shiny tool.
What's wrong with Pandas?
I probably wouldn’t rewrite an entire data science stack that used pandas, but most people would use polars if starting a new project today.
Re: Python Data Science Handbook
#9Interesting choice of Pandas in this day and age. Maybe he’s after imparting general concepts that you could apply to any tabular data manipulator rather than selecting for the latest shiny tool.
why? It's the industry standard as far as my reach goes.
What other framework would you replace it with?
No, polars or spark is not a good answer, those are optimized for data engineering performance, not a holistic approach to data science.
Re: Python Data Science Handbook
#10it's written 8 years ago though, there is a 2ed of the book by the same author.