Data wrangling with Python

Jacqueline Kazil

at 250 WPM

8h 28m

The average reader, reading at a speed of 250 WPM, would take 8h 28m to read Data wrangling with Python.

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17

days at 30 min/day

508

total minutes

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Data wrangling with Python

by Jacqueline Kazil

2016

O'Reilly Media, Incorporated

508

9781491948774

Frequently Asked Questions

How many pages are in Data wrangling with Python?

This edition of Data wrangling with Python has approximately 508 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

How long does it take to read Data wrangling with Python?

For most readers, Data wrangling with Python typically takes between 10h 35m and 7h 3m to complete. This is based on the book's length of approximately 127,000 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 8h 28m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 17 days • Estimated word count: 127,000 words

Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.

What is the word count of Data wrangling with Python?

The estimated word count for Data wrangling with Python is approximately 127,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.

This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.

Who is the author of Data wrangling with Python?

Data wrangling with Python was written by Jacqueline Kazil.

When was Data wrangling with Python published?

The publication date for this specific edition is 2016. The original work may have been published on a different date.