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: ``_ - Lectures course site (Python): ``_ 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.