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Focusing on "more efficient" in "better": - emacs: works for me to code in R, python, connect to remotes, etc - keyboard shortcuts: got started with them earl
by antipaul 6y ago
Focusing on "more efficient" in "better":
- emacs: works for me to code in R, python, connect to remotes, etc
- keyboard shortcuts: got started with them early, and never looked back. Bonus: linux/macOS/emacs text navigation works across all of them (ctrl-f, ctrl-b, ctrl-a, ctrl-k, alt-delete, etc)
- git: managing file versions and file diffs (!)
- GitHub: terrific for project management, even when I'm the only one on the project ;)
- CLI utilities that I love:
- ag, a better "grep"
- fd, a better "find"
- tldr, a better "man"
My dotfiles and new box setup: https://github.com/pavopax/dotfiles https://github.com/pavopax/dotfiles
CLI tools:
https://github.com/ggreer/the_silver_searcher https://github.com/ggreer/the_silver_searcher
https://github.com/sharkdp/fd/ https://github.com/sharkdp/fd/
https://github.com/tldr-pages/tldr https://github.com/tldr-pages/tldr
EDIT: formatting
- antipaul 6y ago... then, for data science tasks, these were a revelation: - R's dplyr and wider tidyverse - python scikit-learn They are terrific APIs that, after I've gained deep familiarity from experience, are literally a joy to use for me and feel like I've "leveled up" (way up)