Data Engineering with Python

This edition of Data Engineering with Python has approximately 356 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

For most readers, Data Engineering with Python typically takes between 7h 25m and 4h 57m to complete. This is based on the book's length of approximately 89,000 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 5h 56m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 12 days • Estimated word count: 89,000 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.

The estimated word count for Data Engineering with Python is approximately 89,000 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.

Data Engineering with Python was written by Paul Crickard.

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