November 2019 Archive
1831.
This Is How Google Will Collapse (hackernoon.com)
1832.
The zine – a short essay on self-publishing (sketch.nono.ma)
1833.
Ask HN: What are some exciting non-STEM breakthroughs happening now?
1834.
Ask HN: How to get better at taking notes?
1835.
Elinor Ostrom's Principles for Managing a Commons (2011) (onthecommons.org)
1836.
Ask HN: Who are your programming rockstars, and why?
1837.
Parenting: Who is it really for? (2017) (sivers.org)
1838.
Who Will Buy Canonical and SUSE? (patreon.com)
1839.
How to teach sensible elementary statistics to lower-division undergraduates? (statmodeling.stat.columbia.edu)
1840.
Show HN: A Markdown Notepad App (github.com)
1841.
The Hidden Life of an Amazon User (janavirgin.com)
1842.
Can the long-lost abalone make a comeback in California? (latimes.com)
1843.
Users fear for privacy after Google buys Fitbit (theguardian.com)
1844.
The Parks That Made the Man Who Made Central Park (nytimes.com)
1845.
Show HN: Pmfx-shader – Cross platform shader system (github.com)
1846.
Microsoft is working to bring 64-bit Intel app emulation to Windows on ARM (neowin.net)
1847.
Movim 0.16 – A federated web-based social XMPP client (nl.movim.eu)
1848.
3 Kids. 2 paychecks. No home (story.californiasunday.com)
1849.
Calorie Counting × Meal Planning (maxwellforbes.com)
1850.
Gödel, Escher, Bach (en.wikipedia.org)
1851.
'People come for the selfies but won't pay $2 for pizza' (bbc.co.uk)
1852.
German voters would prefer a more ambitious timeline to phase out coal (nature.com)
1853.
Re-reading the novels of John le Carré (the-tls.co.uk)
1854.
How to Get Upvoted on Hacker News (towardsdatascience.com)
1855.
Is it time to look at monetisation as a new exclusive right of the author? (technollama.co.uk)
1856.
We’re Building a New Central Resource for Public Data (source.opennews.org)
1857.
Doing a Job (1982) (govleaders.org)
1858.
Jony Ive Has Left Apple (theverge.com)
1859.
MScSim – real-time flight dynamics simulation software (marekcel.pl)
1860.
Show HN: Appelpy – library for easier regression modelling in Python (github.com)