Seamless Lingerie Briefs Hipster Underwear
Hipster Underwear Panties
|$7.34 - $7.36||Amazon|
|$4.47 - $9.95||Amazon|
|$8.95 - $11.99||Amazon|
|$45.79 - $45.81||Amazon|
|$3.00 - $7.00||Amazon|
|$3.00 - $5.48||Amazon|
|$7.69 - $12.99||Amazon|
|$59.99 - $168.63||Amazon|
|$6.40 - $9.75||Amazon|
Seamless Bible Study Book: Understanding the Bible as One Complete Story by Angie Smith (2015-04-01)
|$12.42 - $17.94||Amazon|
Seamless Product Descriptions
Seamless: Understanding the Bible as One Complete Story (Member Book)
Seamless Bible Study Book Understanding the Bible as One Complete Story.
In seven sessions, Seamless covers the people, places, and promises of the Bible, tying them together into the greater story of Scripture. Participants in this study will gain an overarching understanding of the fundamental layout and meaning of the Bible.
Fruit of the Loom Big Girls' Seamless Bikini Brief (Pack of 2), Turquoise Love/White, M
Flexible, breathable fabric.
No elastic band.
Light, breathable, and comfortable. These Fruit of the Loom girls' santoni bikinis are made for the growing girl. With full seat coverage and no itchy elastic bands, these bikinis are great for your girl at any stage. Give the girl in your life a good start with Fruit of the Loom. Designed to give her support while giving her room to grow, tried and true Fruit of the Loom underclothes are the perfect choice for your growing girl.
Seamless: Student Edition (Member Book)
Seamless Student Book.
Seamless is a six-session study that covers major events from the Bible, tying them together into the greater story of Scripture. The goal is to lead girls to a complete understanding of God’s story as seen from Genesis to Revelation.
Seamless R and C++ Integration with Rcpp (Use R!)
Used Book in Good Condition.
Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finally accessible to most R users. Rcpp should be part of every statistician's toolbox. -- Michael Braun, MIT Sloan School of Management
"Seamless R and C++ integration with Rcpp" is simply a wonderful book. For anyone who uses C/C++ and R, it is an indispensable resource. The writing is outstanding. A huge bonus is the section on applications. This section covers the matrix packages Armadillo and Eigen and the GNU Scientific Library as well as RInside which enables you to use R inside C++. These applications are what most of us need to know to really do scientific programming with R and C++. I love this book. -- Robert McCulloch, University of Chicago Booth School of Business
Rcpp is now considered an essential package for anybody doing serious computational research using R. Dirk's book is an excellent companion and takes the reader from a gentle introduction to more advanced applications via numerous examples and efficiency enhancing gems. The book is packed with all you might have ever wanted to know about Rcpp, its cousins (RcppArmadillo, RcppEigen .etc.), modules, package development and sugar. Overall, this book is a must-have on your shelf. -- Sanjog Misra, UCLA Anderson School of Management
The Rcpp package represents a major leap forward for scientific computations with R. With very few lines of C++ code, one has R's data structures readily at hand for further computations in C++. Hence, high-level numerical programming can be made in C++ almost as easily as in R, but often with a substantial speed gain. Dirk is a crucial person in these developments, and his book takes the reader from the first fragile steps on to using the full Rcpp machinery. A very recommended book! -- Søren Højsgaard, Department of Mathematical Sciences, Aalborg University, Denmark
"Seamless R and C ++ Integration with Rcpp" provides the first comprehensive introduction to Rcpp. Rcpp has become the most widely-used language extension for R, and is deployed by over one-hundred different CRAN and BioConductor packages. Rcpp permits users to pass scalars, vectors, matrices, list or entire R objects back and forth between R and C++ with ease. This brings the depth of the R analysis framework together with the power, speed, and efficiency of C++.