Learning Pandas: Get to grips with pandas - a versatile and high-performance Python library for data manipulation, analysis, and discovery

Michael Heydt

S$88.99

4.2 (10 Ratings)

Paperback Apr 2015 504 pages 1st Edition

Michael Heydt

S$88.99

4.2 (10 Ratings)

Paperback Apr 2015 504 pages 1st Edition

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If you are a Python programmer who wants to get started with performing data analysis using pandas and Python, this is the book for you. Some experience with statistical analysis would be helpful but is not mandatory.

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Natester Jun 06, 2015

I've been working with the pandas library for a while but had been looking for a text to help navigate the rich feature set of the pandas library. I purchased this book as soon as it became available and I'm quite satisfied with the content.I skipped the first few chapters, but if you are new to Python and using Python packages, do be sure to go through the content.The next couple of chapters discuss the inner workings of pandas DataFrame and Series. Worth going through as it provides a foundation for the remainder of the book's examples.Around chapter 6 is where the application examples dig in and they are quite useful. I've referred to many of these examples. They include reading and writing data with different data sources, slicing and dicing data and running stats on your data.Examples towards the end of the book get progressively sophisticated with shaping data. I didn't read everything in those chapters, but towards the end of the book are some chapters on data visualization and working with time series data. Definitely a "must" if you are looking to make use of pandas in your data analysis work.I keep this ebook in my reference collection and refer to it when in need to figure out how to solve a data issue where pandas might be a good fit. A helpful book in the Python + data space.

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Loris Jun 20, 2015

In my job I make use of many scientific libraries and Pandas is one of those. I have been looking for a good Pandas reference book for a while and I got this book as soon as it was published. I am not exaggerating when I say that it is one of the best python-related book I ever read. It is not only well written but it is also very well organized and structured. The book begins by providing detailed instructions on how to install Pandas on Linux, MacOS X, and Windows. In the firsts chapters it introduces NumPy and both Pandas Series and DataFrames. These firsts chapters are really important, especially for beginners, as they explain basic concepts that will be used continuously through the book. The author also indicates in which situations Pandas behave differently from NumPy, something I ignored before reading the book.I found very useful the description of the different ways to access rows and columns in DataFrames (loc, iloc, ix, etc.). The author clearly explains which is the best method to use in different scenarios and gives important tips regarding the performances of the different methods. Personally the chapters I found more useful were those about “Tidying Up your Data”, “Combining and Reshaping Data”, and “Grouping and Aggregating Data”. These are not easy concepts and the author did a very good job explaining them and providing a lot of clear examples. I believe these chapters are where you realize how Pandas can greatly simplify data analysis. The chapter about visualization is particularly useful to those who do not have experience with matplotlib and want to learn how to do quick plots with pandas.To conclude, the book is an excellent guide to Pandas not only if you are a beginner but also if you already have some experience with the library. Beside being well written, it covers all the mayor features of Pandas and each topic is complemented with a lot of code.

Trevor May 20, 2015

Warning! This is not a book for learning statistical methods of data analysis. Do not buy if that is what you are looking for. If you are interested in learning the tools for data analysis in python, then this book is for you.This book is great for anyone who wants to understand how to use the pandas library. The book is larger than most Packtpub books. The size is primarily due to the number of topics covered and the rich interactive set of examples to illustrate each topic.All the code in the book can be downloaded in the form of ipython notebooks. Which is by far the best learning median for python. This greatly enhances not only your ability to follow along with the examples, but to explore each topic yourself by altering the code to reinforce what you have learned.Also, the books really does the best job I've seen at building each piece of the puzzle one step at a time. The author assumes basic knowledge of python, and some familiarity with statistical definitions. Otherwise, nothing is referenced without first being explained, and everything is introduced in a logical way.If you want to understand how to use pandas from the ground up, then this book is for you.

Harmon L. Jul 26, 2016

Excellent

Lidija Novak Jan 05, 2019

Its a beginners book and a bit outdated, still what counts is its content. Straight forward, sharp and great set up of content and examples. What I hate is meaningless nonsense, this author is great of keeping text short but informative.Have not yet finished reading the book but the first chapters have answered all my previous questions I had on Pandas after reading another book. Great buy! After this book I will buy Pandas for Finance written by same author - Michael Heydt!

Learning Pandas: Get to grips with pandas - a versatile and high-performance Python library for data manipulation, analysis, and discovery

What do you get with Print?

Learning Pandas

Chapter 2. Installing pandas

Getting Anaconda

Note

Installing Anaconda

Installing Anaconda on Linux

Ensuring pandas is up to date

Running a small pandas sample in IPython

Note

Starting the IPython Notebook server

Getting Anaconda

Note

Installing Anaconda

Installing Anaconda on Linux

Ensuring pandas is up to date

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