Optimizing R Code with Rcpp
|
Use C++ to dramatically boost the performance of your R code.
R is a great language for data science, but sometimes the code can be slow to run. Combining the comfort of R with the speed of a compiled language
is a great way to reclaim the performance your code deserves.
C++ is a modern, high performance language that is simple enough to learn
in the context of accelerating R code. With the help of the Rcpp package,
C++ integrates very neatly with R. You will learn how to create and manipulate
typical R objects (vectors and lists), and write your own C++ functions
to dramatically boost the performance of your R code.
User Reviews
Be the first to review “Optimizing R Code with Rcpp”
Related Products
Streaming API Development and Documentation
Explore best practices for developing and documenting streaming APIs for real-time data applications.
Introduction to Object-Oriented Programming in Python
Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!
Software Development: Developing Small Standalone Applications (HP2N47)
Explore the essentials of software development by creating small, standalone applications using modern programming techniques.
Working with Dates and Times in Python
Learn how to work with dates and times in Python.
Intermediate Python
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.
Introduction to Python for Finance
Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.
There are no reviews yet.