With a strong emphasis on practical examples and real-world scenarios, this textbook is a valuable resource for those looking to enhance their understanding of domain-driven design.
Structure and Randomness: Pages from Year One of a Mathematical Blog. by Terence Tao.
A nice touch in this textbook is the final exam review section at the back.
XML and Web Technologies for Data Sciences with R (Use R!). - Paperback - GOOD. Notes: Item in good condition and has highlighting/writing on text.
You are purchasing a Very Good copy of 'XML and Web Technologies for Data Sciences with R (Use R!)'. Condition Notes: Book is in very good condition and may include minimal underlining highlighting.
PARALLEL COMPUTING FOR DATA SCIENCE: WITH EXAMPLES IN R, C++ AND CUDA (CHAPMAN & HALL/CRC THE R SERIES) By Norman Matloff - Hardcover *Excellent Condition*.
Suitable for readers with no previous programming experience, R for Data Science is designed to get users doing data science as quickly as possible. Readers will get a complete, big-picture understanding of the data science cycle, along with the basic tools needed to manage the details.
