walrus
Joined 15 years ago
Joined 15 years ago
* There are frequent car crossings at blind alleys and driveways, often every 20-30 feet.
* Many are "protected" by flexible posts that are easily driven over.
* When protected bike lanes run next to roads, drivers often turn across them at intersections without looking.
I generated the map with Overpass Turbo: <https://overpass-turbo.eu/s/1mT6>. To make it render nicely, check "Don't display small features as POIs" under settings. If you want to try it for a different city, drag/zoom it into view and hit "Run".
I used to ride as far to the right as possible on roads without bike lanes, but then I got hit by a driver trying to squeeze past me without changing lanes.
[1] https://github.com/qmk/qmk_firmware/tree/master/keyboards/pl...
The website Retraction Watch[1] aggregates these retractions and provides a database that you can query. Reference management software like Zotero[2] can use this to monitor your collection of papers and notify you when one is retracted.
[1] https://retractionwatch.com/
[2] https://www.zotero.org/blog/retracted-item-notifications/
1. IPython with Pandas if I expect to do any in-depth exploration/manipulation of the data.
2. A short Python script like `python -c 'import csv, sys; r = csv.reader(sys.stdin); ...' <data.csv` if it needs to run on someone else's machine.
3. https://github.com/BurntSushi/xsv if I want to quickly munge some data or extract a field.
4. Gnumeric if I want a GUI.
5. https://github.com/andmarti1424/sc-im if I want a TUI. This is closest to what you were asking for.
Someone should let FinCEN know that their definition is incorrect: https://www.fincen.gov/history-anti-money-laundering-laws