Parallel computing for data science

This edition of Parallel computing for data science has approximately 324 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

For most readers, Parallel computing for data science typically takes between 6h 45m and 4h 30m to complete. This is based on the book's length of approximately 81,000 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 5h 24m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 11 days • Estimated word count: 81,000 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 Parallel computing for data science is approximately 81,000 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.

Parallel computing for data science was written by Norman S. Matloff.

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