A #LazyWeb Compendium of Python Resources for Beginners

A friend who is in the midst of a career change and moving into the GIS world asked me for some pointers to resources for getting started with Python. I threw the question out to Twitter (with a similar variation also posted to Google+):

I got a couple of requests to summarize any information I received, which seemed reasonable. I got quite a few responses and here are some links:

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Arc2Earth: Choose Your ‘Cloud’

For various reasons, I can’t attend today’s inaugural FedGeoDay at the Woolly Mammoth Theatre in Washington, DC, though I’ll be watching the hashtag with great interest. Jack Flood of Arc2Earth, however, has already posted his slides to SlideShare:

[slideshare id=16811994&w=427&h=356&sc=no]

 

While neither ArcMap nor Arc2Earth are open-source themselves, Jack points out that Arc2Earth acts as a bridge between ArcMap and several geospatial hosting platforms that are built on open-source technology but, also just as important, are successful at making data more openly available. These platforms include CartoDB and MapBox, among many others.

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Yes, You Need to Code

Over the past year, I’ve been involved in searching for GIS analysts a number of times. As a result, I’ve noticed a few patterns:

  1. There are a lot of analysts out there looking for jobs. Every time I run an ad, I get at least 100 resumes from people of various levels of experience and education.
  2. The vast majority of those that I call to pre-screen have not done any meaningful coding of any kind. This includes Python, which has been shipping with ArcGIS for several versions now.
  3. Of those that do have some coding experience, many do not show it on their resumes. I find this particularly interesting as I can’t imagine why a person would choose not to list all relevant skills or experience.

I am very publicly on the record that I think some form of coding skill is essential for any GIS analyst entering the workforce today. My reasoning here is fairly straightforward.

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js.geo Day One

Yesterday, I attended the JS.geo conference at the Colorado University Denver campus. It looked like about 100 or so came out for the event. I was able to catch up with Chris Helm and Brian Timoney the night before and they told me the event took off faster than they had originally expected. I think this speaks to two things: 1) the level of interest in Javascript as a solution for geospatial applications and 2) the fast pace of innovation in the Javascript community that has a lot of people looking for ways to stay abreast of the latest developments.

What follows is an overview based on some of the notes I took. I wasn’t always writing as I sometimes just stopped to listen and I’ll probably follow up with more details later.

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Comment Period Open for GeoPackage Specification Draft

The Open Geospatial Consortium (OGC) has published a draft GeoPackage specification for comment. The GeoPackage specification attempts to create a non-proprietary means for packaging and exchanging all geospatial data in all its forms (vector, raster, and tiles). A couple of things that jump out at me:

  • It calls out SQLite as the reference implementation of a GeoPackage container
  • It calls out SpatiaLite 4 as the reference implementation of a vector feature store
  • It does not call out a reference implementation for rasters or tiles
  • It does not mention exchange of cartography.

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SpatiaLite 4.1.0 Beta Preview Available

On the SpatiaLite Google Group this morning, Sandro Furieri announced the availability of a beta preview of SpatiaLite 4.1.0. The primary focus of this preview is to get early comment on new capabilities supporting the storage, validation, and query of XML documents. More information about this update can be found here. Says Sandro: The main … Read more