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Focusing on engineering and numerical computing, this guide introduces Julia as a powerful tool for data science, machine learning, and scientific applications. It highlights Julia's user-friendly syntax comparable to R, Python, and MATLAB, while offering the performance of C and Java. Readers will explore object-oriented programming principles, basic mathematics, and advanced functionalities, including operations with complex, rational, and irrational numbers, as well as rings and fields.
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Beginning Julia Programming, Sandeep Nagar
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- Année de publication
- 2017
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