FAQs

How do I buy and download an eBook?

Where there is an eBook version of a title available, you can buy it from the book details for that title. Add either the standalone eBook or the eBook and print book bundle to your shopping cart. Your eBook will show in your cart as a product on its own. After completing checkout and payment in the normal way, you will receive your receipt on the screen containing a link to a personalised PDF download file. This link will remain active for 30 days. You can download backup copies of the file by logging in to your account at any time.

If you already have Adobe reader installed, then clicking on the link will download and open the PDF file directly. If you don't, then save the PDF file on your machine and download the Reader to view it.

Please Note: Packt eBooks are non-returnable and non-refundable.

Packt eBook and Licensing When you buy an eBook from Packt Publishing, completing your purchase means you accept the terms of our licence agreement. Please read the full text of the agreement. In it we have tried to balance the need for the ebook to be usable for you the reader with our needs to protect the rights of us as Publishers and of our authors. In summary, the agreement says:

You may make copies of your eBook for your own use onto any machine
You may not pass copies of the eBook on to anyone else

How can I make a purchase on your website?

If you want to purchase a video course, eBook or Bundle (Print+eBook) please follow below steps:

Register on our website using your email address and the password.
Search for the title by name or ISBN using the search option.
Select the title you want to purchase.
Choose the format you wish to purchase the title in; if you order the Print Book, you get a free eBook copy of the same title.
Proceed with the checkout process (payment to be made using Credit Card, Debit Cart, or PayPal)

Where can I access support around an eBook?

If you experience a problem with using or installing Adobe Reader, the contact Adobe directly.
To view the errata for the book, see www.packtpub.com/support and view the pages for the title you have.
To view your account details or to download a new copy of the book go to www.packtpub.com/account
To contact us directly if a problem is not resolved, use www.packtpub.com/contact-us

What eBook formats do Packt support?

Our eBooks are currently available in a variety of formats such as PDF and ePubs. In the future, this may well change with trends and development in technology, but please note that our PDFs are not Adobe eBook Reader format, which has greater restrictions on security.

You will need to use Adobe Reader v9 or later in order to read Packt's PDF eBooks.

What are the benefits of eBooks?

You can get the information you need immediately
You can easily take them with you on a laptop
You can download them an unlimited number of times
You can print them out
They are copy-paste enabled
They are searchable
There is no password protection
They are lower price than print
They save resources and space

What is an eBook?

Packt eBooks are a complete electronic version of the print edition, available in PDF and ePub formats. Every piece of content down to the page numbering is the same. Because we save the costs of printing and shipping the book to you, we are able to offer eBooks at a lower cost than print editions.

When you have purchased an eBook, simply login to your account and click on the link in Your Download Area. We recommend you saving the file to your hard drive before opening it.

For optimal viewing of our eBooks, we recommend you download and install the free Adobe Reader version 9.

Filter reviews by

All

Packt verified reviews

Amazon verified reviews

Ivan and Zorro Mar 28, 2020

This book is great for both beginners and someone already familiar with pandas. And if you are that someone then you know this library is so big that you never quite feel like you know everything. For instance, how many people use the pandas testing module? What’s that you say , you didn’t know pandas had a testing module? Another highlight is the EDA chapter which also includes some nice coverage of Seaborn, in addition to the chapter devoted entirely to visualization libraries. This will quickly become your goto reference for pandas and working with data.If you are looking for new and interesting ways to leverage pandas and make your work flow more efficient this book will help. It does start at the beginning, but I would be surprised if you didn’t pick up a nugget right in the first chapter. It says pandas but actually the authors spend a lot of time with NumPy although they don’t always distinguish between the two – which does make sense since pandas is for the most part a wrapper around many libraries, NumPy being chief among them.Personally I would have used fewer pages by showing less output, but that is one of the few complaints I have. I just don’t think we really need to see 10 lines of output for every step. Also I nice clear link to github for cloning the data would have been nice.

Amazon Verified review

Nathan Weston Apr 01, 2020

This is a huge book that's packed with details on both basic and advanced usage of Pandas. Each recipe is mostly self-contained, so you can jump straight to any topic you need to know more about without hunting around the book for all the pieces. This does mean there's some amount of repetition if you're reading start to finish, but I think it's a worthwhile trade-off. The accompanying Jupyter Notebook examples are also a nice addition.

Prayson Daniel Mar 16, 2020

I thought I knew Pandas until I read the first edition three years ago. There are so many new techniques I learnt and relearned by going through this revised version. Upgrading recipes to Python 3.6+ syntax has refined the simplicity and readability of the codes.Two things that stands out and makes me love this book are: (1) the accompanying codes in form of Jupyter Notebooks: Programming is learnt by doing and not just by reading,—having codes for each recipe in a clear and interactive is priceless, (2) the scope: this book goes beyond Pandas syntax. The application and visualisation are thoroughly covered.The only challenge, for beginners, I believe, will be a smooth setting up correct environment to experiment with these recipes. Perhaps creating a Dockerfile/docker-compose file which will build the entire step-up, Python version, libraries, spinning up Jupyter, and attach volumes with a single command, as part of accompanying codes, would make the whole experience divine. In this way, the only requirement needed to enjoy this book is the installation of Docker.

Tripp Parker Apr 10, 2020

The book is well thought out, provides an excellent framework for Pandas. If you've read other books that are by Matt Harrison, then you'll appreciate the quality and context of this book.

Bookworm_Live Sep 17, 2021

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.

Pandas 1.x Cookbook: Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python , Second Edition

What do you get with eBook?