Participatory Geospatial Development Using Python (Volume 1) by Ravish Bapna

By Ravish Bapna

The booklet includes dialogue on raster and vector facts processing utilizing Python binding of GDAL/OGR library. additionally, diversified ways of representing spatial reference method are enumerated. there's a dialogue on LIDAR information processing utilizing Python binding of libLAS library. except processing geospatial information, the e-book additionally covers plotting of geospatial information. The final bankruptcy offers with freely on hand geospatial info, resembling ASTER GDEM, SRTM facts and so on.

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It focuses on changes that alter the structure of the code without altering the meaning. I find refactoring quite fun, but it’s dangerous if you don’t have unit tests in place. Without unit tests, you don’t know if you’ve unintentionally altered the meaning. In some sense, refactoring is one of the most well-understood areas of software development. It is described extensively in the literature. Refactorings have names and precise definitions. Some refactorings are done with an eye to improving readability, some are done with an eye toward removing redundancy and duplication (known to some as “the death of code”), and some are done to improve modularity.

The build system should check out a clean copy from revision control, and then build from it. This ensures that the build does not depend on previously generated artifacts, and it tests that the build can be done on a machine other than the developer’s desktop. This also goes a long way to ensuring that any developer can sync the code tree down to a new machine, issue a single build command, and have the build succeed. This allows desktops to be replaced quickly in case of failure, and it helps new developers on a project to come up to speed quickly.

No human intervention should be necessary to go from source to finished and tested product. The build system should check out a clean copy from revision control, and then build from it. This ensures that the build does not depend on previously generated artifacts, and it tests that the build can be done on a machine other than the developer’s desktop. This also goes a long way to ensuring that any developer can sync the code tree down to a new machine, issue a single build command, and have the build succeed.

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