The Pandas Workshop: A comprehensive guide to using Python for data analysis with real-world case studies

Blaine Bateman

Saikat Basak

Thomas Joseph

William So

Can$65.99

4.8 (14 Ratings)

Paperback Jun 2022 744 pages 1st Edition

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Key benefits

Learn how to apply data retrieval, transformation, visualization, and modeling techniques using pandas

Become highly efficient in unlocking deeper insights from your data, including databases, web data, and more

Build your experience and confidence with hands-on exercises and activities

Description

The Pandas Workshop will teach you how to be more productive with data and generate real business insights to inform your decision-making. You will be guided through real-world data science problems and shown how to apply key techniques in the context of realistic examples and exercises. Engaging activities will then challenge you to apply your new skills in a way that prepares you for real data science projects. You’ll see how experienced data scientists tackle a wide range of problems using data analysis with pandas. Unlike other Python books, which focus on theory and spend too long on dry, technical explanations, this workshop is designed to quickly get you to write clean code and build your understanding through hands-on practice. As you work through this Python pandas book, you’ll tackle various real-world scenarios, such as using an air quality dataset to understand the pattern of nitrogen dioxide emissions in a city, as well as analyzing transportation data to improve bus transportation services. By the end of this data analytics book, you’ll have the knowledge, skills, and confidence you need to solve your own challenging data science problems with pandas.

What you will learn

Access and load data from different sources using pandas

Work with a range of data types and structures to understand your data

Perform data transformation to prepare it for analysis

Use Matplotlib for data visualization to create a variety of plots

Create data models to find relationships and test hypotheses

Manipulate time-series data to perform date-time calculations

Optimize your code to ensure more efficient business data analysis

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Instant access to your digital copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Redeem a companion digital copy on all Print orders

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

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What is the delivery time and cost of print books?

Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

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Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

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Amazon verified reviews

Dr. Matthias Nagel Jul 27, 2024

Amazon Verified review

Andrew M. Aug 31, 2022

Blaine Bateman et al, do a wonderful job of providing comprehensive coverage of Pandas, within a very applied (e.g., useful) context. With plenty of applications/use-cases and well documented code snippets, this is a must-have for Python enthusiasts. For beginners, it is sequenced according to a typical data science workflow, while also covering the basics (data structures/types, I/O). For more advanced users, there are ample opportunities to learn something new, or brush up on areas that may have become rusty.

Andrea Constantinof Jun 27, 2022

This book is filled with practical information to help you use Pandas effectively to work with data of any kind. A great mix of code examples with explanations allows the reader to learn by doing, while also understanding how things work. This book has all the information I wish I had as a beginner data scientist, and as a amore advanced data scientist, I still learned a thing or two. I would definitely recommend this book to anyone starting out in the field!

David Knickerbocker Oct 16, 2022

I've been excited to read this book since first hearing about it. I use Pandas, daily, all the time, so I am very experienced and comfortable working with Pandas. That said, I like to revisit Pandas books every now and then to pick up things I might have missed on prior readings. This book came out a few months ago, and is likely the latest addition to books on Pandas.I read the entire book. First, I'm impressed with the way this book was put together. It isn't another book just telling you what Pandas is; the point of the book is to walk you through learning Pandas. So, chapters are written alternating between explanations and exercises. Most books put the exercises at the end. This one keeps you engaged throughout the chapter, and all data is available online.I often feel that there are usually three different ways of doing anything in Pandas, and this book shows several options, and then you get to try them.For someone as experienced as I am with Pandas, what was most useful to me is that the authors wrote TWO chapters on dealing with date/time data. When I picked up this book, I thought, "Let's see how they cover dates." They exceeded my expectations.The book also does not only cover Pandas. It has good numpy tips, covers a bit of timeseries analysis, and even gets into modeling a bit.This is definitely more thorough than any other Pandas book I own. The book is 700+ pages thick, and densely packed with information.This book will definitely be most useful for beginners, but I found it helpful as a refresher. If you are a beginner looking to get into Python and Data Science, this should be required reading.

Laura GF Aug 24, 2022

Good book for those interested in getting started with data modelling and regression, great for beginners (with comfort with Python). The book provides an overview of working with the pandas package: from an introduction to the package and data structures, to modelling using data.

The Pandas Workshop: A comprehensive guide to using Python for data analysis with real-world case studies

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