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Learning R Programming. Language, tools, and practical techniques Kun Ren

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Learning R Programming. Language, tools, and practical techniques Kun Ren - okladka książki

Learning R Programming. Language, tools, and practical techniques Kun Ren - okladka książki

Learning R Programming. Language, tools, and practical techniques Kun Ren - audiobook MP3

Learning R Programming. Language, tools, and practical techniques Kun Ren - audiobook CD

Autor:
Kun Ren
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
582
Dostępne formaty:
     PDF
     ePub
     Mobi
R is a high-level functional language and one of the must-know tools for data science and statistics. Powerful but complex, R can be challenging for beginners and those unfamiliar with its unique behaviors. Learning R Programming is the solution - an easy and practical way to learn R and develop a broad and consistent understanding of the language. Through hands-on examples you'll discover powerful R tools, and R best practices that will give you a deeper understanding of working with data. You'll get to grips with R's data structures and data processing techniques, as well as the most popular R packages to boost your productivity from the offset.
Start with the basics of R, then dive deep into the programming techniques and paradigms to make your R code excel. Advance quickly to a deeper understanding of R's behavior as you learn common tasks including data analysis, databases, web scraping, high performance computing, and writing documents. By the end of the book, you'll be a confident R programmer adept at solving problems with the right techniques.

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O autorze książki

Kun Ren has used R for nearly 4 years in quantitative trading, along with C++ and C#, and he has worked very intensively (more than 8-10 hours every day) on useful R packages that the community does not offer yet. He contributes to packages developed by other authors and reports issues to make things work better. He is also a frequent speaker at R conferences in China and has given multiple talks. Kun also has a great social media presence. Additionally, he has substantially contributed to various projects, which is evident from his GitHub account: https://github.com/renkun-ken https://cn.linkedin.com/in/kun-ren-76027530 https://renkun.me/ https://renkun.me/formattable/ https://renkun.me/pipeR/ https://renkun.me/rlist/

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