This short howto is intended to be a mental note for myself so I don't have
to spend all the wasted hours that took me to figure out howto get landslide
up and running and beautifully displaying LaTeX on the slides. If you find it
useful, good for you ;-)
Dani Arribas-Bel darribas
darribas
/ mpex.py
Created
August 7, 2013 08:01
Example for testing PySAL issue #314 relating ROD dicts and multiprocessing
... Running this file before PR #315 will trigger a nasty error in
multiprocessing. Running in on a later version of PySAL's trunk will just work Links
------- Issue #314: https://github.com/pysal/pysal/issues/314
PR #315: https://github.com/pysal/pysal/pull/315
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| ''' | |
| Example for testing PySAL issue #314 relating ROD dicts and multiprocessing | |
| ... | |
| Running this file before PR #315 will trigger a nasty error in | |
| multiprocessing. Running in on a later version of PySAL's trunk will just work | |
| ''' | |
| import time | |
| import pysal as ps |
darribas
/ howto_setup_landslide.md
Created
December 11, 2012 09:54
How to setup `landslide` to work with LaTeX rendering
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| *.swp | |
| *~ | |
| .ipynb_checkpoints/ |
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darribas
/ palindromes.ipynb
Last active
September 18, 2017 10:26
Finding the longest palindrome in the UK
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Earlier this month, and with the great help of Chris Holdgraf and Filipe Fernandes, we pushed a new release of contextily, the Python library to pull web tiles from the internet that can be used as contextual maps.
Besides a few bug fixes, the main addition in this release is the Places API that Chris included. This is a super handy way to quickly pull down a tile for an area. Let's see a quick example!
Say you are working with a spatial dataset around the Berkley campus and you would like to add some context to your data points. All you need to do is:
import contextily as ctx bkl = ctx.Place("UC Berkeley")
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darribas
/ pt2xy2pt.ipynb
Created
November 27, 2017 16:29
Conversion on `geopandas` points to XYs to points
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darribas
/ pandas_dask_test.ipynb
Created
July 27, 2015 17:04
Quick comparison between `pandas` and `dask` groupby functionality.
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