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| Book | PUBDB-2025-05174 |
2024
Apress
Berkeley, CA
ISBN: 9798868809644
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Please use a persistent id in citations: doi:10.1007/979-8-8688-0965-1
Abstract: Part 1. Language Core -- 1. Getting Started -- 2. Data Types and Structures -- 3. Control Flow and Functions -- 4. Custom Types -- E1: Shelling Segregation Model - 5. Input – Output -- 6. Metaprogramming and Macros -- 7. Interfacing Julia with Other Languages -- 8. Efficiently Write Efficient Code. - 9 Parallel Computing in Julia - Part 2. Packages Ecosystem -- 10. Working with Data -- 11. Scientific Libraries -- E2: Fitting a forest growth model - 12 – AI with Julia – E3. Predict house values - 13. Utilities. Appendix: Solutions to the exercises
Keyword(s): Compilers (Computer programs) (LCSH) ; Artificial intelligence (LCSH) ; Data mining (LCSH) ; Computer science (LCSH)
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