Resources¶
In addition to our course, there are countless of excellent books, tutorials and examples related to programming in Python. Here we list some good places to look for further information.
Books¶
There are no required textbooks for this course. This course uses a wide range of sources for course information and the main textbooks are given below.
Recommended textbooks (in order of relevance):
Zelle, J. (2010) Python Programming: An Introduction to Computer Science, Second edition. Franklin, Beedle & Associates.
McKinney, W. (2012) Python for Data Analysis: Data wrangling with Pandas, NumPy and iPython, First edition. O´Reilly Media.
Lawhead, J. (2015) Learning Geospatial Analysis with Python: An effective guide to geographic information systems and remote sensing analysis using Python 3, Second edition. Packt Publishing.
McKinney, W. (2012) Python for Data Analysis: Data wrangling with Pandas, NumPy and iPython, First edition. O´Reilly Media.
Optional textbooks:
Westra, E. (2016) Python Geospatial Development: Develop sophisticated mapping applications from scratch using Python 3 tools for geospatial development, Third edition. Packt Publishing.
Zandbergen, P. (2013) Python Scripting for ArcGIS, Alternate edition. ESRI press. (Available from the library
Diener, M. (2015) Python Geospatial Analysis Cookbook: Over 60 recipes to work with topology, overlays, indoor routing, and web application analysis with Python. Packt Publishing.