SELECT
file.project,
COUNT(*) as total_downloads,
FROM
TABLE_DATE_RANGE(
[the-psf:pypi.downloads],
TIMESTAMP("20160114"),
from datetime import datetime | |
from lxml import etree | |
from natural.number import ordinal | |
def main(source_fname, names): | |
with open(source_fname, 'r') as fh: | |
doc = etree.parse(fh) |
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 brunosanchez@worldbank.org
(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.
So... this is obviously totally, 100%, like for. real. not. supported. by. Apple. …yet?
But still... I thought it was pretty badass. And, seeing how there's already a Swift buildpack for Heroku you could move some slow code into Swift can call it as a library function. But, you know, not in production or anything. That would be silly, right?
Now, having said that, the actual Python/Swift interop may have bugs. I'll leave that as an exercise to the reader.
axes.facecolor : eeeeee | |
axes.edgecolor : bcbcbc | |
axes.linewidth : 1 | |
axes.grid : True | |
axes.labelcolor : 555555 | |
axes.axisbelow : True | |
axes.prop_cycle : cycler('color', ['204a87', 'cc0000', 'c88a00', '4e9a06', '7a68a6', 'cf4457', '188487']) | |
xtick.major.size : 0 | |
xtick.minor.size : 0 |
example.md: example.Rmd | |
./knit | |
example.ipynb: example.md | |
notedown example.md | sed 's/%%r/%%R/' > example.ipynb |