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About The Book
Description
Author
<p>Transform your data science workflows with Julia's lightning-fast performance. This practical guide helps Python and R developers transition to Julia for large-scale scientific computing machine learning and numerical analysis. Features real-world case studies optimization techniques and integration with popular data science tools. Includes parallel computing patterns and best practices for production deployment.</p>
Piracy-free
Assured Quality
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Sustainably Printed
Details
ISBN 13
9798230074601
Publication Date
-18-11-2024
Pages
-268
Weight
-319 grams
Dimensions
-140x216x15.38 mm
