Step into the serene world of 'Country Autumn' coloring book. This inviting collection invites you on a coloring journey across 30 pages of meticulously illustrated autumn scenes, capturing the rustic beauty of the countryside. 🌈 Details: - 1 PDF file with 105 pages & Cover - Print regular A4 size 297 x 210mm for best results. Please choose highest printing quality.

Step into the serene world of 'Country Autumn' coloring book. This inviting collection invites you on a coloring journey across 30 pages of meticulously illustrated autumn scenes, capturing the rustic beauty of the countryside. 🌈 Details: - 1 PDF file with 105 pages & Cover - Print regular A4 size 297 x 210mm for best results. Please choose highest printing quality.

Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, manipulation, and visualization; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques. After all this you’ll make your code reproducible with LaTeX, RMarkdown, and Shiny. By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most. Coverage includes Explore R, RStudio, and R packages Use R for math: variable types, vectors, calling functions, and more Exploit data structures, including data.frames, matrices, and lists Read many different types of data Create attractive, intuitive statistical graphics Write user-defined functions Control program flow with if, ifelse, and complex checks Improve program efficiency with group manipulations Combine and reshape multiple datasets Manipulate strings using R’s facilities and regular expressions Create normal, binomial, and Poisson probability distributions Build linear, generalized linear, and nonlinear models Program basic statistics: mean, standard deviation, and t-tests Train machine learning models Assess the quality of models and variable selection Prevent overfitting and perform variable selection, using the Elastic Net and Bayesian methods Analyze univariate and multivariate time series data Group data via K-means and hierarchical clustering Prepare reports, slideshows, and web pages with knitr Display interactive data with RMarkdown and htmlwidgets Implement dashboards with Shiny Build reusable R packages with devtools and Rcpp Register your product at informit.com/register for convenient access to downloads, updates, and corrections as they become available.

Self-publishing can be daunting if you don’t know where to start. That’s where IngramSpark comes in, providing you with the easiest way to self-publish your book with affordable, high-quality book production and distribution to thousands of retailers worldwide. For those who have a manuscript ready but no idea how to get it out into the world, this newly updated edition of The IngramSpark Guide walks you through the book production process from start to finish: from editing, designing, printing, and marketing your manuscript to other abundant services IngramSpark offers to independent authors everywhere. You’ll learn how to enhance the visibility of your book through metadata tips, get the most out of your publishing budget, convert your physical book into digital e-book form, efficiently fulfill orders for your book, and generate buzz beyond your local community of acquaintances. This guidebook is not just a manual for utilizing IngramSpark but also a crash course in the intricacies of becoming a successful independently published author.

This publication presents fascinating new findings on ancient Romano-Egyptian funerary portraits preserved in international collections. Once interred with mummified remains, nearly a thousand funerary portraits from Roman Egypt survive today in museums around the world, bringing viewers face-to-face with people who lived two thousand years ago. Until recently, few of these paintings had undergone in-depth study to determine by whom they were made and how. An international collaboration known as APPEAR (Ancient Panel Paintings: Examination, Analysis, and Research) was launched in 2013 to promote the study of these objects and to gather scientific and historical findings into a shared database. The first phase of the project was marked with a two-day conference at the Getty Villa. Conservators, scientists, and curators presented new research on topics such as provenance and collecting, comparisons of works across institutions, and scientific studies of pigments, binders, and supports. The papers and posters from the conference are collected in this publication, which offers the most up-to-date information available about these fascinating remnants of the ancient world. The free online edition of this open-access publication is available at www.getty.edu/publications/mummyportraits/ and includes zoomable illustrations and graphs. Also available are free PDF, EPUB, and Kindle/MOBI downloads of the book.

The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.