General info¶
Course Python part
- Wednesdays , 09:15-12:00, R202, Vanemuise 46 (31.10. - 22.11.)
- Thursdays, 14:15-17:00, R202, Vanemuise 46 (31.10. - 22.11.)
- subsequently continued with R-part 09:15-12:00, R202, Vanemuise 46 (28.11. - 20.12.)
Lecturers:
- Alexander Kmoch (Python)
- Email: alexander.kmoch@ut.ee
- Evelyn Uuemaa (Python)
- Email: evelyn.uuemaa@ut.ee
- Anto Aasa (R)
- Email: anto.aasa@ut.ee
Course websites for Python part¶
- Course sites for Python programming:
- Moodle course site: https://moodle.ut.ee/course/view.php?id=7948
- Lectures course site (Python): http://kodu.ut.ee/~kmoch/geopython2018
Textbooks¶
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.
- 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.