Here's my own list of the interesting stuff announced during this year's WWDC, collected from the keynotes, various Apple docs, blog posts and tweets.
If you're planning to watch the videos, I really recommend this Mac app that helps you download and watch them: https://github.com/insidegui/WWDC.
http://www.apple.com/osx/elcapitan-preview/
This is a list inspired by some of our current or potential lines of work at the World Bank Innovation Labs. The “Innovations in Big Data Analytics” program helps to strengthen the World Bank capabilities to effectively use big data in its operational and strategic work.
We are always looking for great Data Scientists. If you can solve any of these [using open software], you'll be heads down helping us from day one. Email us to [email protected]
(This list is updated frequently).
We are building an open stack to process nightly data from satellite and query light output from all known villages. Currently we are doing 20 years of nightly data for 600,000 villages in India.
| # request one at http://api.census.gov/data/key_signup.html and paste it below | |
| CENSUS_API_KEY=YOUR_CODE_HERE | |
| # a factor 1609.34 squared | |
| SQ_M_TO_SQ_MI=2589975.2356 | |
| #prereqs: | |
| # npm install -g shapefile # 0.6.1 | |
| # npm install -g d3-geo-projection # 1.2.1 | |
| # npm install -g ndjson-cli # 0.3.0 |
I have an updated version of this on my blog here: https://chrisamico.com/blog/2023-01-14/python-setup/.
This is my recommended Python setup, as of Fall 2022. The Python landscape can be a confusing mess of overlapping tools that sometimes don't work well together. This is an effort to standardize our approach and environments.
