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Item #:
19102479
Julia 1.0 Programming Cookbook: Over 100 numerical and distributed computing recipes for your daily data science workflow
76% of respondents would recommend this to a friend
Item #:
19102479
USD 56
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What Stands Out
Comprehensive Recipes
Offers over 100 practical recipes tailored for numerical and distributed computing, making it an invaluable resource for data scientists tackling diverse challenges in their daily workflows.
Targeted Audience
Designed specifically for data scientists and Julia programmers, addressing their unique needs with clear examples and solutions to common programming challenges in data analysis.
Efficient Workflows
Facilitates streamlined data science workflows by providing efficient methodologies and techniques for parallel computing, enhancing productivity and speed in data processing tasks.
Product Details
| Publisher | Packt Publishing |
| Publication date | November 29, 2018 |
| Language | English |
| Print length | 460 pages |
| ISBN-10 | 1788998367 |
| ISBN-13 | 978-1788998369 |
| Item Weight | 1.73 pounds (780 grams) |
| Dimensions | 7.5 x 1.04 x 9.25 inches (19.1 x 2.6 x 23.5 cm) |
Who Should Buy?
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Data Scientists
Offers practical recipes for efficient numerical computations essential for data analysis and visualization tasks in data science.
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Developers
Provides insights into Julia's syntax and capabilities, making it easier for developers transitioning from other programming languages.
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Researchers
Equips researchers with high-performance computing techniques and tools for advancing scientific computing and data analysis projects.
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Beginners
Beginners may struggle with the advanced concepts covered in the cookbook without prior programming or data science knowledge.
Product Description
Julia 1.0 Programming Cookbook: Over 100 numerical and distributed computing recipes for your daily data science workflow
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Tools Editorial Review
Julia 1.0 Programming Cookbook: Over 100 numerical and distributed computing recipes for your daily data science workflow is a comprehensive guide published by Packt Publishing that spans 460 pages and provides essential knowledge for harnessing Julia's potential in computational tasks. While the book offers valuable insights, particularly in high-performance computing and numerical computing routines, reviewers have noted that it may pose challenges for beginners who lack foundational knowledge in Julia. For instance, the initial chapters dive quickly into complex programming structures without adequate prior explanation, which might be beneficial for experienced programmers but confusing for newcomers. Additionally, despite its thorough approach, the lack of guidance for iOS/mac systems may limit its usability for users in that environment.
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Pros
- Offers over 100 practical numerical computing recipes
- Covers high-performance computing techniques effectively
- Great insights into distributed computing
- Helpful overview on installing Julia
- Well-organized for experienced programmers
Cons
- Beginners may find the content challenging without prior knowledge
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