Programming
Software development: programming languages, coding, libraries and frameworks, software engineering and architecture, source control, developer tools, databases, and infrastructure.
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Lua Development Tools eclipse.org
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Lua for IDEA bitbucket.org
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Simplilearn youtube.com
The R Programming for Beginners playlist includes videos on data science, charting, data visualization, algorithms, business analytics, regression, random forest, SVM, clustering, time series, modeling, and analytical techniques.
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IDG TECHtalk youtube.com
Do More with R playlist includes tutorials on shiny, data.table, getting API data, using Git and Github with R, writing your own packages, run Python in R code, RStudio addins and keyboard shortcuts, dashboards and flexdashboards.
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David Jablonski youtube.com
The UC Berkeley R Bootcamp playlists include videos on R basics, handling data, performing calculations, programming, graphics, workflows, and statistics.
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StatistikinDD youtube.com
Playlists on Efficient R Programming (e. g. running R code in parallel), Visualization, Regression Analyses.
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Shiny Developer Series youtube.com
The goals of the Shiny Developer Series are to showcase the innovative applications and packages in the ever-growing Shiny ecosystem, as well as the brilliant developers behind them!
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R Programming 101 youtube.com
This channel provides teaching videos on data analysis and statistical analysis using R programming. The teaching videos include subjects like data cleaning, data manipulation, data visualization, statistical analysis, and machine learning and AI (artificial intelligence).
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12 Months of aRt williamrchase.com
In 2019, William Chase began a project to make a new series of artwork every month made entirely with R. In this project, he explored different techniques, developed algorithms, and provided detailed posts detailing the development process for each month.
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The Book of R web.itu.edu.tr
The aim of The Book of R: A First Course in Programming and Statistics is to provide a relatively gentle yet informative exposure to the statistical software environment R, alongside some common statistical analyses, so that readers may have a solid foundation from which to…
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Tutorials Point tutorialspoint.com
The tutorials are grouped into categories (R tutorial, R Data Interfaces, R Charts & Graphs, R Statistics Examples, R Useful Resources) that cover in-depth all the basic needs for someone starting learning the R programming language.
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Tidy Modeling with R tmwr.org
This book is a guide to using a new collection of software in the R programming language for model building.
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Ryo Nakagawara ryo-n7.github.io
Ryo Nakagawara is a Data Scientist and has been doing work as both a reporting analyst and a software developer in R and SQL to improve ACDI and VOCA data pipelines, create R packages, reproducible reports, dashboards, and Shiny apps to communicate how his projects worldwide…
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Subreddit - r/programming - The R Project for Statistical Computing reddit.com
A Reddit subreddit focused on using R for statistical computing.
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Subreddit - r/Rlanguage - R Programming Language reddit.com
A Reddit subreddit focused on implementing the R programming language for statistics and data science.
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Introduction to Data Science - Data Analysis and Prediction Algorithms with R rafalab.github.io
This book started out as the class notes used in the HarvardX Data Science Series. It introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine…
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R CODER r-coder.com
The tutorials are grouped into categories (introduction, data structures, data wrangling, programming, import & export, graphics) that cover in-depth all the basic needs for someone starting learning the R programming language.
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Learning Statistics with R learningstatisticswithr.com
Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software. Author: Danielle Navarro.
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Julia Silge juliasilge.com
Julia Silge is a data scientist and software engineer at RStudio where she work on open source modeling tools. She is passionate about making beautiful charts, the statistical programming language R, Jane Austen, black coffee, and red wine.
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Happy Git and GitHub for the useR happygitwithr.com
Happy Git provides opinionated instructions on how to install Git and get it working smoothly with GitHub, in the shell and in the RStudio IDE, develop a few key workflows that cover your most common tasks, and integrate Git and GitHub into your daily work with R and R…
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ggplot2 - Modify components of a theme ggplot2.tidyverse.org
How to modify components of a theme in ggplot2. Author: the developers of Tidyverse.
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The Art of R Programming diytranscriptomics.com
This book is for those who wish to learn about developing software in R. Author: Norman Matloff.
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A Sufficient Introduction to R dereksonderegger.github.io
This book is intended to guide people that are completely new to programming along a path towards a useful skill level using R. Author: Derek L. Sonderegger.
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Data Imaginist data-imaginist.com
Thomas Lin Pedersen is a data scientist turned software engineer who focuses on improving researchers’ interactions with the data they produce.
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R Tutorial – Be a Data Science rock star with R data-flair.training
A tour of the R programming language that explores its different and essential concepts. This R DataFlair Tutorial Series is designed to help beginners to get started with R and experienced to brush up their R programming skills and gain perfection in the language.
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Intro to R course by Fabio Votta - part 1 colab.research.google.com
A fun introduction to R programming grouped into categories (operators, objects, functions, exercises, and data frames).
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Intro to R course by Fabio Votta - part 2 colab.research.google.com
A fun introduction to R programming grouped into categories (data manipulation and cleaning featuring the janitor, tidyr, and dplyr packages).
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Stack Overflow on CLtL2 stackoverflow.com
Some recommend using CLtL2 for insight and inspiration, but to use the CLHS when programming.
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Lisp Subreddit reddit.com
An active community, and has loads of useful links and reference documents in the sidebar.
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installing an implementation lispcookbook.github.io
using an implementation manager like Roswell, or on Docker.
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Common Lisp: A Gentle Introduction to Symbolic Computation by David S. Touretzky cs.cmu.edu
a good introduction for people new to programming. Contains code for really useful utilities like DTRACE and SDRAW.
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State of the Common Lisp Ecosystem, 2015 borretti.me
Article about what libraries you should use, and why.
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Object-Oriented Programming in Common Lisp by Sonya E. Keene amazon.com
An in-depth description of the CLOS, and shows how to use it with example applications.
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Adam Tornhill on AMOP adamtornhill.com
Recommends reading Practical Common Lisp, then Object-Oriented Programming in Common Lisp, and then AMOP.
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Component programming with ranges wiki.dlang.org
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Bare Metal ARM Cortex-M GDC Cross Compiler wiki.dlang.org
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GTK-D coding web.archive.org
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/r/d_language on Reddit reddit.com
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D Web Development packtpub.com
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code-d marketplace.visualstudio.com
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LDC Developers github.com
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compiler stat.ethz.ch
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The Art of R Programming shop.oreilly.com
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Learning R Programming packtpub.com
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D Programming Language Symposium dlangsymposium.com
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Origins of the D programming language dl.acm.org
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Programming in D ddili.org
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Sorting Algorithms codeberg.org
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The R Programming Wikibook en.wikibooks.org
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JavaScript for R book.javascript-for-r.com
The ultimate aim of this work is to demonstrate to the reader the many great benefits one can reap by inviting JavaScript into their data science workflow. Author: John Coene.
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