Matt HarrisonPandas 1.x Cookbook: Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python, 2nd Edition

I have been learning data science/data analysis online through Coursera and the Dataquest platform. I felt that I did not get enough information or instruction on how to work with pandas. While I am only half way through the book so far, it is really giving me great insight and a lot of practice with different pandas techniques. WIthin the first few chapters I felt like I had a much better understanding of how to manipulate data in pandas. If you feel that you don't have a full grasp of pandas, then I highly recommend this book for you

I really appreciated the examples as 'recipes' to walk through how to think in code and in visuals. This book showed how using Python is not just about coding and visualizing results, but WALKING through the "how" to articulate and visualize the problem. I was grateful for the alternative methods highlighted and explanations of where chaining in helpful and when to not chain if the need for simplicity emerged. Thank you!

Covers pandas fully with examples, but the examples seem to focus on already know data sets. Uses them throughout the book, but that should not detract from the proof of value in pandas. Will use more for a reference.

This book is gold if you are trying to learn a new skill or improve basic Python/Pandas skills. I had been looking into multiple books options but this one by far was the best when I read the sample and now that I have the physical book I am really glad I got it

Just about everything you need is in this book, however 2 stars off as there is no index. Just try lookin up what .iloc or any other function method does! I have resorted to writing in each term I need in the index myself as this is the first place I check when I need some use fact.

A really wonderful no-nonsense book. The author gives insight into how Pandas can be used in real world with all practical scenarios and usages. Highly Recommend.

La entrega fue antes de lo esperado, lamentablemente uno de los libros venia arrugado y con las primeras hojas en muy mal estado.

This book might actually be helpful if you're looking for a quick solution to a common Pandas problem. However. I was astonished at how many mistakes I was seeing, including: typos, inconsistencies, printing problems, and even some logical errors. The code formatting was also not so visually pleasing or helpful. The authors may know well what they're talking about, but whoever was responsible for technical copy editing fell asleep on the job. I've learned to be wary of Packt publishing from this and other books.

O livro é ótimo, porém os gráficos vieram todos preto e branco. Gráficos coloridos são importantes pra o entendimento do texto. Na versão online temos todos os gráficos coloridos. Não entendi oq rolou aqui.

REFERENCE Tres complete en la matiere. Vaut son prix.

sehr unübersichtliche Darstellung.den Preis nicht Wert.Es ist zwar so ziemlich alles enthalten, aber in der Darstellung sehr unübersichtlich. Anstatt kleine Tabellen zu verwenden werden riesige Tabellen und ständig andere verwendet.

I wanted to bring some order to my half hazard understanding and use of Pandas, this book did the trick. The formatting of the kindle version could be better, on occasion screenshots cover some of the text; the code examples are easy to access and explained in depth. I enjoyed it .

Excellent book! There are many great examples that make understanting a lot easier. Recommended for everyone also as a reference.