Domain-Specific Languages in R: Advanced Statistical Programming, (Paperback)
Gain an accelerated introduction to domain-specific languages in R, including coverage of regular expressions.
Domain-Specific Languages in R: Advanced Statistical Programming, (Paperback)
物品 #: 64020786

Domain-Specific Languages in R: Advanced Statistical Programming, (Paperback)

物品 #: 64020786

HKD 335

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Gain an accelerated introduction to domain-specific languages in R, including coverage of regular expressions.
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What Stands Out

Specialized Focus
Covers domain-specific languages tailored for advanced statistical programming, providing in-depth insights and unique coding techniques to tackle specific analysis challenges in R.
Practical Applications
Includes real-world examples and practical applications, enabling readers to directly apply concepts and improve their statistical analysis capabilities with R.
Expert Guidance
Written by experienced authors, offering expert insights and best practices in statistical programming, ensuring high-quality content and valuable resources for both learners and professionals.

產品詳情

Shop for the advanced statistical programming book, Domain-Specific Languages in R, written by Thomas Mailund. Available in paperback format with ISBN 9781484235874. Published on 2018-06-24. Order now on Ubuy, a 香港 with worldwide shipping.
  • Accelerated introduction to domain-specific languages in R, covering regular expressions
  • Shows how DSLs are specialized programming languages for specific purposes
  • Includes examples of DSLs for large data sets, matrix multiplication, pattern matching, and continuous time Markov chains
  • Teaches how to write DSLs in R and transfer skills to other programming languages
  • Intended for individuals with prior programming experience, R knowledge is helpful but not required
  • Author: Thomas Mailund, ISBN: 9781484235874, Format: Paperback, Publication Date: 2018-06-24
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateJune, 2018
Pages257
SubgenreLanguages
Series titleNo Series
Edition1
PublisherApress
Original languagesEnglish
LanguageEnglish
Is collectibleN
Binding typePerfect Binding
Recording time0 min
Retail packagingSingle Piece
Assembled product dimensions (l x w x h)6.14 x 0.56 x 9.21 in (15.6 x 1.4 x 23.4 cm)
Assembled product weight0.84 lb (380 grams)
Bisac subject headingComputers

Who Should Buy?

Suitable For
  • Statistical Analysts

    Ideal for analysts who require advanced statistical programming techniques to execute complex data analysis in R effectively.

  • R Programmers

    Great for R developers looking to enhance their skills in creating domain-specific languages for customized statistical applications.

  • Data Scientists

    Useful for data scientists needing to implement specialized programming languages tailored to specific domains for streamlined analysis.

Not Suitable For
  • Beginners in R

    Not suitable for beginners lacking foundational knowledge in R programming and statistical concepts needed for understanding content.

產品敘述

Domain-Specific Languages in R: Advanced Statistical Programming, (Paperback)

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Thomas Mailund All Books Editorial Review

Domain-Specific Languages in R: Advanced Statistical Programming is a non-fiction paperback that was published in June 2018. With a focus on computing and internet themes, it spans 257 pages and is intended for readers interested in advanced statistical programming concepts using R. The book is bound with perfect binding, making it suitable for thorough reading without risking pages coming loose. Readers often appreciate its clarity and practical applications in real-world scenarios, making it a valuable resource for anyone looking to deepen their knowledge in programming with R.

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優點

  • Detailed exploration of R programming techniques
  • Helpful for both beginners and advanced users
  • Well-structured content for easy understanding
  • Practical examples to illustrate complex concepts
  • Suitable for various computing-related fields

缺點

  • Some readers may find it a bit technical

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