Python for Data Analysis

Oliver R. Simpson

at 250 WPM

2h 18m

The average reader, reading at a speed of 250 WPM, would take 2h 18m to read Python for Data Analysis.

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5

days at 30 min/day

138

total minutes

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Python for Data Analysis

by Oliver R. Simpson

2020

Charlie Creative Lab

138

9781801547208

Frequently Asked Questions

How many pages are in Python for Data Analysis?

This edition of Python for Data Analysis has approximately 138 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 Python for Data Analysis?

For most readers, Python for Data Analysis typically takes between 2h 53m and 1h 55m to complete. This is based on the book's length of approximately 34,500 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 2h 18m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 5 days • Estimated word count: 34,500 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 Python for Data Analysis?

The estimated word count for Python for Data Analysis is approximately 34,500 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 Python for Data Analysis?

Python for Data Analysis was written by Oliver R. Simpson.

When was Python for Data Analysis published?

The publication date for this specific edition is 2020. The original work may have been published on a different date.