Web Excursions for July 26, 2014
Lot of bookmarks this time:
- A command-line utility written in Go for batch-sending email.
- Ma (negative space)
- I’m always fascinated by the Japanese culture.
- Find out what’s keeping your Mac awake
- Sometimes selecting Sleep from the Apple menu doesn’t do anything. In that case, there’s a Terminal command that’ll tell you which processes are keeping your Mac awake. This is SO useful!
- What I Wish I Knew When Learning Haskell ( Stephen Diehl )
- A skimmable reference for intermediate level Haskell topics and an aggregate of the best external resources for diving into those subjects with more depth.
- A command line tool for showing the progress of long-running coreutil functions like
- You’re probably using the wrong dictionary « the jsomers.net blog
- Add the best English dictionary to your Mac.
- Online syntax highlighting for “MySQL”
- Vim Awesome
- Awesome Vim plugins from across the universe.
- Cloudmarks - Canisbos
- Cloudmarks (formerly Moofmarks) is a Safari extension that works with cloud bookmarking services Pinboard, Delicious, Kippt, and Google Bookmarks, letting you access your cloud bookmarks in a convenient popover.
- A web-based launchd.plist generator.
- 100+ Interesting Data Sets for Statistics
- Looking for interesting data sets? Here’s a list of more than 100 of the best stuff, from dolphin relationships to political campaign donations to death row prisoners.
- The utility contacts gives you access from the terminal to view and search all your records in the Address Book database.
- Shaping up with Angular.js
- Learn to build an application using Angular.js
- Syncthing replaces Dropbox and BitTorrent Sync by being open and decentralised. Runs on OS X, Windows, Linux, FreeBSD and Solaris.
- Vincent takes Python data structures and translates them into Vega visualization grammar. It allows for quick iteration of visualization designs via getters and setters on grammar elements, and outputs the final visualization to JSON. Perhaps most importantly, Vincent groks Pandas DataFrames and Series in an intuitive way.