In this article, I will discuss the overall approach I took to writing Pandas Cookbook along with highlights of each chapter.
I have a new book titled Master Data Analysis with Python that is far superior to Pandas Cookbook. It contains over 300 exercises and projects to reinforce all the material and will receive continuous updates through 2020. If you are interested in Pandas Cookbook, I would strongly suggest to purchase Master Data Analysis with Python instead.
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I had three main guiding principles when writing the book:
First, I wanted you, the reader, to explore real-world datasets and not randomly...
In this post, I will offer my review of the book, Python for Data Analysis (2nd edition) by Wes McKinney. My name is Ted Petrou and I am an expert at pandas and author of the recently released Pandas Cookbook. I thoroughly read through PDA and created a very long, review that is available on github. This post provides some of the highlights from that full review.
I read this book as if I was the only technical reviewer and I was counted on to find all the possible errors. Every single line of code was scrutinized and explored to see if a better solution existed. Having spent nearly every day of the last 18 months writing and talking about pandas, I have formed strong opinions about how it should be used. This critical examination lead to me finding fault with quite a large percentage of the code.
The main focus of PDA is on the pandas library but it does have material on basic Python, IPython...