- A list of bookmarks, packages, tutorials, videos and other resources from the Laravel ecosystem
There's a bunch of stuff in here I want to review.
Links for Saturday July 28th 2018
- GitHub – abulia/tfl-unified: Laravel package for accessing TFL’s unified API
This is going to speed up some rapid prototyping by a factor of about 50.
Links for Thursday July 26th 2018
- City Street Orientations around the World – Geoff Boeing
Interesting visualtation of the direction orientation of streets in major cities. Sydney and Melbourne stand out as interesting oddities, having the planned nature of cities built mostly in the last few hundred years, but with some oddities. Beijing also revealed as suprisingly modern.
Links for Thursday July 19th 2018
- DieScraper | Roll Plus Hot
Mike has come up with what looks like an interesting alpha for a game here. Filed for future reference.
Links for Monday July 9th 2018
- Generate entity relation diagrams from your Laravel model files.
More work-related "this might be useful" stuff. The need to produce ERDs crops up on enough projects that I am certain I'll need this at some point.
Links for Monday July 2nd 2018
- Justin Peters – WORK
This artist photoshops stock photos together, and has produced some *stunning* results.
Links for Tuesday June 26th 2018
- macOS 10.13 High Sierra Apache Setup: Multiple PHP Versions | Grav
Nothing to see here. I've just been through this for work, and might need to refer to this guide to debug stuff in future.
Links for Friday June 22nd 2018
- KS Lessons Full List – Chronological – Stonemaier Games
A list of lessons in running a kickstarter (or similar project). One to come back to.
Links for Thursday June 21st 2018
- Recursive Recipes | Make food from scratch
This is brilliant. Pick a recipe, then crank the time limit up. Make an Apple pie: Step 1: grow the apples…
Links for Tuesday June 19th 2018
- IBM’s machine argues, pretty convincingly, with humans – BBC News
This is quite astounding. Digging into a bit further, it's still not human-level debating or decision making, but give them another decade and it really will be time to welcome our robot overlords. The difficult bit is, of course, training them on a near-objective data set, rather than giving them built in biases.