Data Wrangling with Python: Tips and Tools to Make Your Life Easier 1st Edition

by Jacqueline Kazil (Author), Katharine Jarmul (Author)

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ISBN-13: 978-1491948811

ISBN-10: 1491948817

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How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information thatâ??s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started.

Through various step-by-step exercises, youâ??ll learn how to acquire, clean, analyze, and present data efficiently. Youâ??ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain.

Quickly learn basic Python syntax, data types, and language concepts
Work with both machine-readable and human-consumable data
Scrape websites and APIs to find a bounty of useful information
Clean and format data to eliminate duplicates and errors in your datasets
Learn when to standardize data and when to test and script data cleanup
Explore and analyze your datasets with new Python libraries and techniques
Use Python solutions to automate your entire data-wrangling process

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Editorial Reviews

About the Author

Jacqueline Kazil is a data lover. In her career, she has worked in technology focusing in finance, government, and journalism. Most notably, she is a former Presidential Innovation Fellow and co-founded a technology organization in government called 18F. Her career has consisted of many data science and wrangling projects including Geoq, an open source mapping workflow tool, Congress.gov remake, and Top Secret America. She is active in the Python and data related communities -- Python Software Foundation, PyLadies, Women Data Science DC, and more. She teaches Python in Washington, D.C. at meetups, conferences, and mini bootcamps. She often pair programs with her sidekick, Ellie (@ellie_the_brave). You can find her on Twitter @jackiekazil or follow her blog, The coderSnorts (https://medium.com/coder-snorts).

Katharine Jarmul is a Python developer who enjoys data analysis and acquisition, web scraping, teaching Python and all things Unix. She has worked at small and large start ups before starting her consulting career overseas. Originally from Los Angeles, she learned Python while working at the Washington Post in 2008. As one of the founders of PyLadies (http://pyladies.org/), Katharine hopes to promote diversity in Python and other open source languages through education and training. She has led numerous workshops and tutorials ranging from beginner to advanced topics in Python. For more information on upcoming trainings, reach out to her on Twitter (http://twitter.com/kjam) or her her web site (http://kjamistan.com/).

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Product details

Publisher ‏ : ‎ O'Reilly Media; 1st edition (March 15, 2016)
Language ‏ : ‎ English
Paperback ‏ : ‎ 505 pages
ISBN-10 ‏ : ‎ 1491948817
ISBN-13 ‏ : ‎ 978-1491948811
Item Weight ‏ : ‎ 1.93 pounds
Dimensions ‏ : ‎ 7 x 1.02 x 9.19 inches

Best Sellers Rank: #1,166,076 in Books (See Top 100 in Books)
- #706 in Data Mining (Books)
- #749 in Data Modeling & Design (Books)
- #991 in Database Storage & Design

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5 star		59%
4 star		13%
3 star		13%
2 star		5%
1 star		10%

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S.Ahmed

I am impressed, the book is a breeze to ...

Reviewed in the United States on August 29, 2016

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I am impressed, the book is a breeze to read and is guide into the world of coders for other engineers or scientists who only use excel or matlab. Before this book, I rarely coded but now I have my own amazon cloud server and am working on short applications. Thank you!

6 people found this helpful

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Simon Zamarin

Good introductory book

Reviewed in the United States on May 24, 2016

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Good introductory book. Provides sufficient depth to python fundamentals, followed by several practical data wrangling examples. Later chapters provide a high level overview of more advanced applications (less code here). I deducted off two stars for two reasons, one for using python 2 instead of 3 (for an introductory book this choice is perplexing). Pretty much all topics, with the exception of the chapter on Scrapy, could have been explained using python 3. Another star deducted for barely a passing mention of the pandas package. Most wrangling examples in the book could be much easier implemented through pandas (although that's a mater of opinion, I feel like there should have been more than just a passing mention of one of python's oft used data wrangling packages)

12 people found this helpful

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science_mom

Barely includes anything on NumPy, nothing on Pandas - doesn't seem like it would be useful for actually 'wrangling data'

Reviewed in the United States on June 14, 2016

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I bought this book expecting that it would at least contain some information on NumPy and Pandas - but these aren't covered in detail at all. I'm not sure why you would try to 'wrangle data' with python without using NumPy. There is a very similar book (with almost the same title) published by O'reilly that is written by the author of Pandas (Wes McKinney). I assumed that this was an update to that book because the titles were so similar - but that wasn't the case at all. The other book covers both NumPy and Pandas. Returning this one...

27 people found this helpful

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Manizgod

Four Stars

Reviewed in the United States on May 2, 2016

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Good book. I didn't know so much can be done with Python.

One person found this helpful

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Amazon Customer

Five Stars

Reviewed in the United States on February 7, 2017

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Arrived on time, as described.

One person found this helpful

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Christiane Heiligers

Five Stars

Reviewed in the United States on June 16, 2016

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Easy to read-only very good condition

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nachomasterCR

written in python 2.x

Reviewed in the United States on March 24, 2016

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i don't see why the authors would want novice programmers like myself to learn python 2.x instead of working towards the future with 3.x. they claim they used 2.x because it's easier to find resources. fair enough, but even if that's the case, it won't take long for 3.x to catch up. the feeling of working with 'old technologies' is not appealing to me...

otherwise if you don't mind using python 2.x, this seems like a good book

28 people found this helpful

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ronb

A Great Mentor for the Beginning Wrangler

Reviewed in the United States on February 23, 2016

I pre-ordered this book a couple of months ago and anxiously waited for it to arrive. Data wrangling is the largest part of most any inquiry, the actual data analysis is usually nothing compared to getting the data into a usable form. I was really looking forward to having a reference, and at first I was disappointed with this book. It is directed at the non-programmer and begins with the simplest python skills. It does not use any of the advanced data structures or modules that I have used in the past. Even though I just did not get much out of it, I still had to give it five stars!

First and foremost, it is well written: the grammar and punctuation are correct, the example code and explanations are clear and insightful. Most computer books are agonizing to read, but this was a joy. Although it does not provide comprehensive examples of all the modules and data structures, which one might use in data wrangling, it does provide an example for each type of data you might want to import: CSV, JSON, XML, Excel and PDF. Plus there are chapters on using web scraping, APIs, and both Relational and NoSQL databases. Moreover, each example is explained with a step-by-step narrative, that shows the beginner not just how to do it, but how to think about working through the process. This is why I recommended the book to colleague, who is an atmospheric scientist learning to program with python.

18 people found this helpful

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Sonal Shrivastava

Good

Reviewed in India on April 8, 2019

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Good

Gorka Herranz

Util y sencillo

Reviewed in Spain on August 30, 2016

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Me ha servido para complementar mis estudios y empezar una nueva manera de visualizar los datos ademas de como obtenerlos.

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Data Wrangling with Python: Tips and Tools to Make Your Life Easier 1st Edition

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