General info

Course meetings in Period II

• Mondays 9-12, A113-A114, Physicum (31.10 - 12.12)
• Work sessions on Thursdays 8-10, A111-112, Physicum (03.11 - 15.12)

Instructors

Lecturer:

• Henrikki Tenkanen
  • Office: A120, Physicum
  • Email: firstname.lastname@helsinki.fi
  • Phone: +358 50 4484436

Course assistant:

• Vuokko Heikinheimo
  • Office: A120, Physicum
  • Email: firstname.lastname@helsinki.fi
  • Phone: +358 2941 50760

Course websites

• Course sites for Period I (Introduction to Python programming):
  • Main course site: https://github.com/Python-for-geo-people
  • Pouta Blueprints site: https://pb.geo.helsinki.fi
• Automating GIS processes (Period II)
  • Moodle page: https://moodle.helsinki.fi/course/view.php?id=21843

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.