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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Data Structures & Algorithms in Python
Author: Dr. John Canning, Alan Broder and Robert Lafore Publisher: Addison-Wesley Date: October 2022 Pages: 928 ISBN:978-0134855684 Print: 013485568X Kindle: B0B1WJF1K9 Audience: Python developers Rating: 4 Reviewer: Mike James Data structures in Python - a good idea!
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Administering SQL Server can seem like a dark art; this book aims to make it more transparent.
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