Fast, offline, and free documentation browser for developers. Search 100+ docs in one web app including HTML, CSS, JavaScript, PHP, Ruby, Python, Go, C, C++, and many more.

A free test data generator and API mocking tool - Mockaroo lets you create custom CSV, JSON, SQL, and Excel datasets to test and demo your software.

The easiest way to blog. Turn an Evernote notebook into a beautiful blog or web site.

The Study Hacks blog by author and professor Cal Newport - on deep work, success, productivity, work-life balance.

Latest Knowledge Management + knowledge base Product Recommendations on Slant

I write about self-development and performance improving. I share lessons and thoughts weekly here and to my popular newsletter – The Monday Digest.

Strategy and productivity. What to do, and how to actually get it done.

Study David Allen's classic productivity book Getting Things Done® with Evernote Certified Consultant Stacey Harmon

I’ve been asked more and more for hints and best practices when working with R. It can be a daunting task, depending on how deep or specialised you want to be. So I tried to keep it as balanced as I could and mentioned point that definitely helped me in...

The stuff you need to know about R, besides statistical analysis.

Online syntax highlighting for more than 100 languages, including C#, Java, PHP, Basic, Perl, Python, Pascal, SQL, JavaScript and others including rare and obscure ones!.

Welcome! Together we're going to train you to be more productive, one step at a time.

Writing R Extensions covers how to create your own packages, write R help files, and the foreign language (C, C++, Fortran, …) interfaces.

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DASE Data Analysis in Software Engineering

In 2019, RStudio spent over 50% of its engineering resources on open-source software, and led contributions to over 250 open-source projects, targeting a broad range of areas.

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Grammarly makes sure everything you type is easy to read, effective, and mistake-free. Try it today:

This is a workshop for RStudio::conf(2020) in San Francisco, California

This guide walks through the process of developing an R package