Data Science at Scale with Python and Dask
$141.85
- Paperback
296 pages
- Release Date
11 October 2019
Summary
Large datasets tend to be distributed, non-uniform, and prone to change. Dask simplifies the process of ingesting, filtering, and transforming data, reducing or eliminating the need for a heavyweight framework like Spark.
Data Science at Scale with Python and Dask teaches readers how to build distributed data projects that can handle huge amounts of data. The book introduces Dask Data Frames and teaches helpful code patterns to streamline the reader’s analysis.
Book Details
| ISBN-13: | 9781617295607 |
|---|---|
| ISBN-10: | 1617295604 |
| Author: | Jesse Daniel |
| Publisher: | Manning Publications |
| Imprint: | Manning Publications |
| Format: | Paperback |
| Number of Pages: | 296 |
| Release Date: | 11 October 2019 |
| Weight: | 540g |
| Dimensions: | 235mm x 186mm x 20mm |
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About The Author
Jesse Daniel
Jesse Daniel has five years of experience writing applications in Python, including three years working with in the PyData stack (Pandas, NumPy, SciPy, Scikit-Learn). Jesse joined the faculty of the University of Denver in 2016 as an adjunct professor of business information and analytics, where he currently teaches a Python for Data Science course.
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