1. Python Resources for QGIS Users

   Tue 18 March 2014

   cfarmer

   There’s a discussion thread on the QGIS LinkedIn Group page about Python tutorials and resources. There were a few good suggestions, so I thought I’d share these with others. It starts with a very common question from a GIS (or any software that supports scripting) user:

   I’m a real ‘end-user’ of qgis and I want to improve my skills a little… I’ve found many python tutorials online but I don’t know which are any good. Can anyone point me to some good resources?

   The responses were useful, but not exhaustive:

   • The PyQGIS Programmer’s Guide ...

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2. Submission deadline extended!

   Sun 16 March 2014

   cfarmer

   

   Due to popular demand, the deadline for submitting talks, tutorials and posters has been extended to April 1, 2014 - no ‘foolin!’. We encourage submissions related to general scientific computing with Python, one of the two special themes for this year, or the domain-specific mini-symposia held during the conference. Take a look at a few talks from previous years, our guidelines for this year, and we look forward to reviewing submissions!

   Submit your abstracts today!

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3. SciPy 2014 Geospatial Data in Science

   Thu 06 March 2014

   cfarmer

   

   I have recently been asked to help out with the Geospatial Data in Science track for SciPy 2014 in Austin, Texas this coming July. The conference is being held at the AT&T Executive Education and Conference Center at the University of Texas campus in Austin, Texas from July 6th to 12th 2014. It promises to be an awesome gathering of scientific Python users, developers, and organizations. You can checkout the conference announcement on the SciPy 2014 website, where you can register to submit a proposal and/or abstract, and generally find out all about the SciPy community and conference.

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4. NYC Geoclient REST API from Python

   Sat 01 March 2014

   cfarmer

   Recently, on the betaNYC Meetup email list, John Krauss and Tom Swanson both posted Python code for accessing the NYC Geoclient REST API, which is an awesome resource developed by the NYC Department of Information Technology and Telecommunications GIS/Mapping unit.

   The Geoclient API is a RESTful web service interface to the NYC Department of City Planning’s Geosupport system developed by the Department of Information Technology and Telecommunications GIS/Mapping unit. Geosupport is a mainframe-based geocoding system used by NYC government. Geosupport provides coordinate and geographic attributes for supported input locations (address, intersection, blockface). Geoclient exposes the most widely ...

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5. Describing Variation

   Fri 22 November 2013

   cfarmer

   The 3rd in a series of tutorials on using Python for introductory statistical analysis, this tutorial covers methods for describing data via simple statistical calculations and statistical graphics. As always, the notebook for this tutorial is available here.

   In the 1880s, Sir Francis Galton, one of the pioneers of statistics, collected data on the heights of approximately 900 adult children and their parents in London. Galton was interested in studying the relationship between a full-grown child’s height and his or her mother’s and father’s height. In order to do so, Galton collected height measurements from about 200 ...

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6. Data: Cases, Variables, Samples

   Sat 09 November 2013

   cfarmer

   The second in a series of tutorials on using Python for introductory statistical analysis, this tutorial covers data, including cases, variables, samples, and a whole lot more. As always, the iPython Notebook associated with this tutorial is available here on github.

   Data used in statistical modeling are usually organized into tables, often created using spreadsheet software. Most people presume that the same software used to create a table of data should be used to display and analyze it. This is part of the reason for the popularity of spreadsheet programs such as ‘Excel’ and ‘Google Spreadsheets’.

   For serious statistical work ...

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7. A Fresh Approach using Python: Introduction

   Fri 01 November 2013

   cfarmer

   Welcome to the first in a series of tutorials on using Python for introductory statistical analysis. As I put more of these tutorials online, you should be able to access them easily by clicking or searching for the relevant category: “Statistical Modeling for Python”.

   This series of tutorials is based on the ‘Computational Technique’ sections of each chapter from ‘Statistical Modeling: A Fresh Approach (2nd Edition)’. The goal of this series of tutorials is to show how all of the R analysis and commands used in the book can be done just as easily using the Python programming language. This ...

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8. Maps as Art and Other Experiments

   Fri 27 September 2013

   cfarmer

   With the recent (and long anticipated) release of Quantum GIS 2.0, there has been a lot of ‘buzz’ in the open source geospatial community about all the cool new features that QGIS now boasts, and how far it has come in such a short time. I was recently inspired by such a post by Anita Graser (aka Underdark) (who is a wonderfully talented cartographer/designer) on data driven labeling in QGIS, so I thought I’d throw something together on a gray Friday afternoon to test it out. I also wanted an excuse to play around with Reveal.js slides in IPython notebook, so I produced the following slide show using the images from QGIS and some IPython magic:

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