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. 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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  3. Will it Python?

    Tue 12 February 2013
    cfarmer

    Over the past few weeks, I’ve been following a really great blog by Carl Vogel. This blog has an excellent (growing) collection of Python examples based on porting code and examples from R to Python. In general, it is useful for those “interested in the Python data analysis toolkit and its viability as an alternative to R”. Carl draws on examples from Machine Learning for Hackers by Drew Conway and John Miles White, as well as Gelman and Hill’s Data Analysis Using Regression and Multilevel/Hierarchical Models.

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  4. Because its Friday

    Sat 06 November 2010
    cfarmer

    My two favorite scientific programming languages are Python and R, each for their own specific strengths. I stick with R for most of my serious stats stuff, but for everyday processing, analysis, and GUI building, Python is my modus operandi. Lately however, I’ve been doing more and more things in Python… even the stats stuff. When doing statistical analysis in Python, I usually use the excellent rpy2 library to communicate between Python and R. As a result, I have put together quite a few little code snippets to work with R commands in Python. Recently, I decided to put ...

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  5. Playing around with classification algorithms: Python and QGIS

    Thu 23 September 2010
    cfarmer

    Data visualization is part of my everyday work-flow. More often than not, I’m playing around with my data in a GIS to tease out interesting or informative spatial patterns, or to ensure that I’m getting the results that I’m expecting. As a result, I am constantly trying out different classification schemes to help me generalize spatial patterns, highlight outliers and/or patterns, or just plain mess around with my data.

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