How Long to Read Parallel Computing for Data Science

How Long Does it Take to Read Parallel Computing for Data Science?

It takes the average reader 5 hours and 38 minutes to read Parallel Computing for Data Science by Norman Matloff

Assuming a reading speed of 250 words per minute. Learn more

Description

Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic "n observations, p variables" matrix format but also from time series,

How long is Parallel Computing for Data Science?

Parallel Computing for Data Science by Norman Matloff is 328 pages long, and a total of 84,624 words.

This makes it 111% the length of the average book. It also has 103% more words than the average book.

How Long Does it Take to Read Parallel Computing for Data Science Aloud?

The average oral reading speed is 183 words per minute. This means it takes 7 hours and 42 minutes to read Parallel Computing for Data Science aloud.

What Reading Level is Parallel Computing for Data Science?

Parallel Computing for Data Science is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Parallel Computing for Data Science?

Parallel Computing for Data Science by Norman Matloff is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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