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Pandas in Action

Boris Paskhaver
  • MEAP began February 2020
  • Publication in August 2021 (estimated)
  • ISBN 9781617297434
  • 525 pages (estimated)
  • printed in black & white

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Brilliant introduction on how to use THE data analysis Python library.

Matthias Busch
Look inside
Pandas has rapidly become one of Python's most popular data analysis libraries. With pandas you can efficiently sort, analyze, filter and munge almost any type of data. In Pandas in Action, a friendly and example-rich introduction, author Boris Paskhaver shows you how to master this versatile tool and take the next steps in your data science career.

about the technology

Anyone who’s used spreadsheet software will find pandas familiar. While its column-based grids might remind you of Excel or Google Sheets, pandas is more flexible and far more powerful. It can efficiently perform operations on millions of rows and be used in tandem with other Python libraries for statistics, machine learning, and more. And best of all, using pandas doesn’t mean sacrificing user productivity or needing to write tons of complex code. It’s clean, intuitive, and fast.

about the book

Pandas in Action makes it easy to dive into Python-based data analysis. You’ll learn to use pandas to automate repetitive spreadsheet functionality and derive insight from data by sorting columns, filtering data subsets, and creating multi-leveled indices. Each chapter is a self-contained tutorial, letting you dip in when you need to troubleshoot tricky problems. Best of all, you won’t be learning from sterile or randomly created data. You’ll start with a variety of datasets that are big, small, incomplete, broken, and messy and learn how to clean and format them for proper analysis.

what's inside

  • Import a CSV, identify issues with its data structures, and convert it to the proper format
  • Sort, filter, pivot, and draw conclusions from a dataset and its subsets
  • Identify trends from text-based and time-based data
  • Organize, group, merge, and join separate datasets
  • Real-world datasets that are easy to download and explore

about the reader

For readers experienced with spreadsheet software who know the basics of Python.

about the author

Boris Paskhaver is a software engineer, Agile consultant, and educator. His six programming courses on Udemy have amassed 236,000 students, with an average course rating of 4.59 out of 5. He first used Python and the pandas library to derive a variety of business insights at the world’s #1 jobs site, Indeed.com.

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This book helped me crystallize my knowledge of pandas and even Python.

Dragos Manailoiu

A very well structured book that introduces the pandas concepts a data scientist needs on a daily basis.

Viton Vitanis

This is an excellent book about pandas and all of it's capabilities. The code example are crystal clear. I've worked with pandas for many years but still found this an enlightening read.

Mathijs Affourtit

A great, comprehensive, example based collection to get familiar and happy with pandas.

Bjoern Neuhaus

An outstanding pandas reference for developers just starting to use pandas and/or Python for data analysis or data science.

Jeff Smith

Moves the user from a novice to a really well-grounded user of Pandas.

Rick Prins

A must-have as a starting point for learning Pandas and as a Pandas reference.

Ninoslav Cerkez

Great to have if you want to learn Pandas or if you need a quick reference book!

Mike Cuddy

The best introduction I've found on Pandas.

Erico Lendzian
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