Hi all
I’m pleased to announce the GeoPython 2017 conference will take place from May 8 – 10, 2017 in Muttenz/Basel, Switzerland.
The call for workshops and talks is now open: https://2017.geopython.net
There will be a community voting for selecting the contributions early next year.
The conference is about “Geo with Python” and is organized by the University of Applied Sciences Northwestern Switzerland and PyBasel - the local Python User Group.
Conference topics are:
- GIS / Mapping
- Geography / Geophysics / Geodesy / Geomatics
- Earth Sciences / Environmental Sciences
- Geo Visualization
- Smart Cities
- Spatial Data / Geo data
- Geospatial Web services
- Big Data
- Data Processing
- (Spatial) Databases
- Computer Vision
- Remote Sensing
- Image Processing
- Machine Learning
- Python in General
- …
A first flyer is available here: https://2017.geopython.net/flyer.png
Kind regards,
Martin
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FHNW - University of Applied Sciences and Arts
Northwestern Switzerland
Institute of Geomatics Engineering
Martin CHRISTEN
Lecturer in Geoinformatics and 3D-Computer Graphics
Gründenstrasse 40
4132 Muttenz
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martin.christen(a)fhnw.ch<mailto:martin.christen@fhnw.ch>
www.fhnw.ch/personen/martin-christen<http://www.fhnw.ch/personen/martin-christen>
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Hi all,
I've uploaded wheels for Shapely 1.6a1 to PyPI and would love to hear from
anyone who finds that the linux wheels do not work so that I can fix them
before the beta and final releases.
Reminder: these wheel distributions include the GEOS lib and its
dependencies and are fairly large in size. The upside of this is that you
should be able to `pip install` on most any linux computer without having
to, e.g., `apt-get install libgeos-dev` as root. Exactly as we can do for
Numpy, SciPy, etc.
On Mon, Jul 11, 2016 at 8:18 AM, Sean Gillies <sean.gillies(a)gmail.com>
wrote:
> Hi all,
>
> I'm Sean Gillies. I work at Mapbox and am super fond of Python.
>
> For about a year now I've been publishing macosx wheels for Shapely
> (PostGIS operations without a database) that include their GEOS shared libs
> following the recipe at https://github.com/MacPython/
> wiki/wiki/Spinning-wheels and they've been a success. Very recently I
> received a contribution that does the same thing for almost any linux based
> on the work at https://github.com/pypa/manylinux and have gone ahead and
> published shapely 1.6.dev0 binary wheels for Linux:
> https://pypi.python.org/pypi/Shapely/1.6.dev0#downloads.
>
> Here's what this means: on a Linux machine like your Travis CI or EC2
> instance or whatever all you need to do is
>
> $ pip install -U pip
> $ pip install --pre shapely
>
> and you'll get a fully loaded shapely 1.6.dev0 package with GEOS 3.5. By
> default pip does not get unstable packages and you must use --dev to get
> shapely 1.6.dev0, the very early pre-release of Shapely.
>
> These new wheels have been made possible by Andy Freeland (see
> https://github.com/Toblerity/Shapely/pull/391). Send Andy thanks and send
> me bug reports, I'm 100% committed to making these Linux wheels as useful
> as they can be.
>
--
Sean Gillies
Dear all,
I just put together a small library, that allow relatively easy change of
the netCDF file headers. Maybe some of you find it useful.
Please note that it's a very early alpha, but basic functionality seems to
be working fine.
GitHub: https://github.com/koldunovn/fixnc
Documentation: https://fixnc.readthedocs.io/
Best,
Nikolay
--
The pycsw team announces the release of pycsw 2.0.1.
This release is a maintenance release to address bug fixes and minor updates.
pycsw is an OGC CSW server implementation written in Python.
pycsw fully implements the OpenGIS Catalogue Service Implementation
Specification (Catalogue Service for the Web). Initial development
started in 2010 (more formally announced in 2011). The project is
certified OGC Compliant, and is an OGC Reference Implementation.
Since 2015, pycsw is an official OSGeo Project.
pycsw allows for the publishing and discovery of [[geospatial]]
metadata via numerous APIs (CSW 2/CSW 3, OpenSearch, OAI-PMH, SRU).
Existing repositories of geospatial metadata can also be exposed,
providing a standards-based metadata and catalogue component of
spatial data infrastructures.
pycsw is Open Source, released under an MIT license, and runs on all
major platforms (Windows, Linux, Mac OS X).
Source and binary downloads:
----------------------------
The source code is available at:
http://pycsw.org/download.html
Version 2.0.1 (2016-09-08)
------------------------------------
- numerous HHypermap Registry fixes and updates
- Support overriding PYCSW_ROOT via environment variable
- handle malformed basic service options
Testers and developers are welcome.
The pycsw developer team.
http://pycsw.org/
