246
Comment:
|
1222
wiki restore 2013-01-23
|
Deletions are marked like this. | Additions are marked like this. |
Line 1: | Line 1: |
Line 2: | Line 3: |
Hans Petter Langtangen | |
Line 4: | Line 4: |
ISBN: ISBN:3642024742, Springer, 693 pages (July 2009) |
. Hans Petter Langtangen ISBN: ISBN:3642024742, Springer, 693 pages (July 2009) |
Line 9: | Line 12: |
Line 10: | Line 15: |
'''[[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.