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RPub: an easy way to publish your R script

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RPub: an easy way to publish your R script

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We did a search for data scientist jobs in Indeed.com, to find out what is being sought most from people applying for type of job. The results are insightful. This same analysis can be used for other purposes, such as gaining insights from customers comments on blogs, etc.

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GitHub: hold and share your code on the web

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GitHub: hold and share your code on the web

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GitHub is where over 100 million developers shape the future of software, together. Contribute to the open source community, manage your Git repositories, review code like a pro, track bugs and features, power your CI/CD and DevOps workflows, and secure code before you commit it.

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The How to Start Shiny video series will take you from R programmer to Shiny developer. Watch the complete tutorial, or jump to a specific chapter by clicking a link below. The entire tutorial is two hours and 25 minutes long. Download the slides and exercises here: Part 1, Part 2, and Part 3.

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RStudio is an integrated development environment (IDE) for R. It includes a console, syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging and workspace management. Click here to see more RStudio features.

RStudio is available in open source and commercial editions and runs on the desktop (Windows, Mac, and Linux) or in a browser connected to RStudio Server or RStudio Server Pro (Debian/Ubuntu, RedHat/CentOS, and SUSE Linux).

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Take control of your R code RStudio is an integrated development environment (IDE) for R. It includes a console, syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging and workspace management. Click here to see more RStudio features.

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This server allows the use of two packages developped in our Lab for the R software:ade4 andseqinr . The documentation of the ade4 package is available here, and the documentation of the seqinr package is available here.

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Tutorials, infos, tricks, practice and theory ..

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A very useful concept in software engineering is technical debt. Technical debt occurs when engineers choose a quick but suboptimal solution to a problem, or don't spend time to build sustainable infrastructure. Maybe they're using an approach that doesn't scale well as the team and codebase expand (such as hardcoding "magic numbers"), or using a tool for reasons of convenience...

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A very useful concept in software engineering is technical debt. Technical debt occurs when engineers choose a quick but suboptimal solution to a problem, or don't spend time to build sustainable infrastructure.