
Practical Julia
A Hands-On Introduction for Scientific Minds
- Publisher's listprice GBP 56.99
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The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 13% (cc. 3 749 Ft off)
- Discounted price 25 093 Ft (23 898 Ft + 5% VAT)
28 842 Ft
Availability
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher No Starch Press
- Date of Publication 31 October 2023
- ISBN 9781718502765
- Binding Paperback
- No. of pages528 pages
- Size 234x177 mm
- Weight 368 g
- Language English 550
Categories
Long description:
Applied Julia provides a comprehensive, hands-on language introduction that's packed with examples leveraging real scientific libraries used by researchers in various fields. Solve problems of genuine interest, such as modeling the course of a pandemic, and learn to use Julia as a tool for research. The Julia programming language can be used to write all types of applications, but its features are especially powerful for numerical analysis and computational science. Applied Julia shows readers how to take advantage of Julia's particular strengths, as well as how to write effective and efficient programs. The book takes Julia novices from their very first steps to writing real-world applications for use in fields such as biology, physics, math, statistics, and machine learning. Not only will readers develop the Julia knowledge needed for solving computational problems, but they'll also learn how to explore and visualise data, solve equations, write simulations, and create libraries. Additional online resources include ready-to-run code samples, illustrations, and supplemental animations.
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Practical Julia: A Hands-On Introduction for Scientific Minds
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