To master Emacs to the level, I am at now has taken me a couple of months. Since recently also to write R code in Emacs. The Org Mode package in Emacs is the working horse that undertakes many of these functions. I use it to write notes, manage my action lists, write e-mails, articles, books. Almost ninety per cent of all my computing activity now takes place within Emacs. The power of Emacs is its extensive functionality and virtually infinite customisability. Although it might seem that newer is better when it comes to software, Emacs has continuously evolved. ![]() ![]() Emacs is the Swiss army chainsaw of productivity, the ultimate killer app and also one of the oldest active pieces of software. Since last year I use Emacs and once again the rule that a steep learning curve has a valuable reward has come true. Although RStudio is a great product, like all other software products, it’s functionality is limited to doing one thing well. Most data scientists solve data problems with the R language using the RStudio IDE, a free and open-source Integrated Development Environment. My time invested in learning R has paid off in spades, and I now use the R language for all my numerical and qualitative analysis. ![]() During the process I learnt a valuable lesson: The steeper the learning curve, the larger the reward. A few years ago I ditched the spreadsheet in favour of writing code in R.
0 Comments
Leave a Reply. |