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| Hans Petter Langtangen | |
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| ISBN:9783642024740 Springer-Verlag, 693 pages (2009) |
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| [[http://www.springer.com/mathematics/numerical+and+computational+mathematics/book/978-3-642-02474-0|Home Page]] | . Hans Petter Langtangen |
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| '''Python Scripting for Computational Science''' Hans Petter Langtangen |
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| ISBN:3540435085 Springer-Verlag, 726 pages (2004) |
ISBN: ISBN:3642024742, Springer, 693 pages (July 2009) |
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| [[http://www.springeronline.com/3-540-43508-5|Home Page]] | |
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| '''Bioinformatics Programming Using Python: Practical Programming for Biological Data''' [Python 3] Mitchell L Model ISBN:9780596154509 O'Reilly 522 pages (2010) |
An example- and problem-oriented introduction to computer programming of scientific applications. |
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| [[http://oreilly.com/catalog/9780596154516/|Home Page]] | ---- '''[[NumPy|NumPy]] 1.5 Beginner's Guide''' . Ivan Idris ISBN: ISBN:1849515301, Packt Publishing, 234 pages (November 2011) An action-packed guide for the easy-to-use, high performance, Python based free open source [[NumPy|NumPy]] mathematical library using real-world examples. ---- '''Participatory Geospatial Development Using Python''' . Ravish Bapna ISBN: ISBN:1479316474, [[CreateSpace|CreateSpace]], 146 pages (September 2012) The book contains discussion on raster and vector data processing using Python binding of GDAL/OGR library. Also, different approaches of representing spatial reference system are enumerated. There is a discussion on LIDAR data processing using Python binding of libLAS library. Apart from processing geospatial data, the book also covers plotting of geospatial data. The last chapter deals with freely available geospatial data, such as ASTER GDEM, SRTM data etc. ---- |
A Primer on Scientific Programming with Python
- Hans Petter Langtangen
ISBN: 3642024742, Springer, 693 pages (July 2009)
An example- and problem-oriented introduction to computer programming of scientific applications.
NumPy 1.5 Beginner's Guide
- Ivan Idris
ISBN: 1849515301, Packt Publishing, 234 pages (November 2011)
An action-packed guide for the easy-to-use, high performance, Python based free open source NumPy mathematical library using real-world examples.
Participatory Geospatial Development Using Python
- Ravish Bapna
ISBN: 1479316474, CreateSpace, 146 pages (September 2012)
The book contains discussion on raster and vector data processing using Python binding of GDAL/OGR library. Also, different approaches of representing spatial reference system are enumerated. There is a discussion on LIDAR data processing using Python binding of libLAS library. Apart from processing geospatial data, the book also covers plotting of geospatial data. The last chapter deals with freely available geospatial data, such as ASTER GDEM, SRTM data etc.