Intrasti: jeremyjaydan

C++ Stories www.cppstories.com Stay up-to-date with Modern C++

Welcome | Mastering Shiny mastering-shiny.org A book created with bookdown.

IntelliJ D Language intellij-dlanguage.github.io Development for the web and mobile devices

Computational Cognition Lab · Brooklyn College of CUNY – crumplab crumplab.github.io Home page for the Computational Cognition Lab at Brooklyn College, run by Matt Crump

Statistical Inference via Data Science moderndive.com An open-source and fully-reproducible electronic textbook for teaching statistical inference using tidyverse data science tools.

Posit Community community.rstudio.com A community for all things Posit

Spatial Data Science with R and “terra” — R Spatial rspatial.org These resources teach spatial data analysis and modeling with R. R is a widely used programming language and software environment for data science. R also provides unparalleled opportunities for analyzing spatial data and for spatial modeling.

DIY.transcriptomics – RNAseq course. diytranscriptomics.com A full course covering best practices for RNAseq data analysis, with a primary focus on empowering students to be independent in the use of lightweight and open-source software and the R/bioconductor environment.

Google Colab colab.research.google.com

Mastering Shiny Solutions mastering-shiny-solutions.org A solutions manual to Hadley Wickham’s Mastering Shiny.

Prepare Reproducible Example Code via the Clipboard • reprex reprex.tidyverse.org Convenience wrapper that uses the rmarkdown package to render small snippets of code to target formats that include both code and output. The goal is to encourage the sharing of small, reproducible, and runnable examples on code-oriented websites, such as <https://stackoverflow.com> and <https://github.com>, or in email. The users clipboard is the default source of input code and the default target for rendered output. reprex' also extracts clean, runnable R code from various common formats, suc

Modern Statistics with R www.modernstatisticswithr.com Modern Statistics with R

Shiny shiny.rstudio.com Shiny is package that makes it easy to build interactive web apps straight from R & Python.

ggplot2 extensions exts.ggplot2.tidyverse.org

No Starch Press | "The finest in geek entertainment" nostarch.com No Starch Press publishes the finest in geek entertainment — books on programming, hacking, Linux, security, and more for the technically curious.

Home atrebas.github.io A website built through Hugo and blogdown.

Datanovia www.datanovia.com Learn R & Python data science — reproducible, interactive, AI-native.

Let’s Git started | Happy Git and GitHub for the useR happygitwithr.com Using Git and GitHub with R, Rstudio, and R Markdown

Department of Atmospheric and Environmental Sciences | University at Albany www.atmos.albany.edu The current group of scientists in DAES covers a broad range of interests in the atmospheric and environmental sciences. Explore degrees and view news.

From data to Viz | Find the graphic you need www.data-to-viz.com A classification of all possible chart types classified following the input data format.

R Statistics: Interactive Tutorials, Courses and Tools r-statistics.co Learn statistics with R through interactive tutorials, hands-on courses and free calculators. Run the code in your browser and practice as you learn.

JavaScript for R book.javascript-for-r.com Invite JavaScript into your Data Science workflow.

Welcome | Geocomputation with R geocompr.robinlovelace.net Welcome | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrou

Introduction | Engineering Production-Grade Shiny Apps engineering-shiny.org A book about engineering shiny application that will later be sent to production. This book cover project management, structuring your project, building a solid testing suite, and optimizing your codebase. We describe in this book a specific workflow: design, prototype, build, strengthen and deploy.