This book is a comprehensive introduction to the language, making it accessible even if you’re new to programming. Lee Phillips dives in with a thorough guide to Julia’s syntax, data types, and best practices, then moves on to craft solutions for challenges in physics, statistics, biology, mathematics, and scientific machine learning. Whether you’re solving computational problems, visualizing data, writing simulations, or developing specialized tools, this book will show you how.
<ASIN:1718502761 >
Author: Lee Phillips Publisher: No Starch Date: October 2023 Pages: 528 ISBN: 978-1718502765 Print: 1718502761 Kindle: B0B7R1QGRY Audience: Developers interested in Julia Level: Intermediate Category: Other Languages
Topics include
- Use comprehensions and generators, higher-level functions, array initialization and manipulation, and perform operations on Unicode text
- Create new syntax and generate code with metaprogramming and macros, and control the error system to manipulate program execution
- Visualize everything from mathematical constructs and experimental designs to algorithm flowcharts
- Elevate performance using Julia’s unique type system with multiple dispatch
- Delve into scientific packages tailored for diverse fields like fluid dynamics, agent-based modeling, and image processing
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Foundational Python For Data Science
Author: Kennedy Behrman Publisher: Pearson Pages:256 ISBN: 978-0136624356 Print: 0136624359 Kindle: B095Y6G2QV Audience: Data scientists Rating: 4.5 Reviewer: Kay Ewbank
This book sets out to be a simple introduction to Python, specifically how to use it to work with data.
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Seriously Good Software
Author: Marco Faella Publisher: Manning Date: March 2020 Pages: 328 ISBN: 978-1617296291 Print: 1617296295 Kindle: B09782DKN8 Audience: Relatively experienced Java programmers Rating: 4.5 Reviewer: Mike James Don't we all want to write seriously good software?
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