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.

- Books related to data analysis in Python:

    - Zelle, J. (2017) `Python Programming: An Introduction to Computer Science <https://mcsp.wartburg.edu/zelle/python/ppics3/index.html>`_, Third edition. Franklin, Beedle & Associates. *Copies of this book are available in the Kumpula Campus library.*
    - McKinney, W. (2017) `Python for Data Analysis: Data wrangling with Pandas, NumPy and iPython <https://www.amazon.com/Python-Data-Analysis-Wrangling-IPython/dp/1491957662/>`_, Second edition. O´Reilly Media, Incorporated. `Available as Ebook in here <https://ebookcentral.proquest.com/lib/helsinki-ebooks/detail.action?docID=5061179>`_.
    - Lawhead, J. (2015) `Learning Geospatial Analysis with Python: An effective guide to geographic information systems and remote sensing analysis using Python 3 <https://www.packtpub.com/application-development/learning-geospatial-analysis-python-second-edition>`_, Second edition. Packt Publishing.

- Books related to spatial data analysis in Python:

  - Westra, E. (2016) `Python Geospatial Development: Develop sophisticated mapping applications from scratch using Python 3 tools for geospatial development <https://www.packtpub.com/application-development/python-geospatial-development-third-edition>`_, Third edition. Packt Publishing.
  - Zandbergen, P. (2013) `Python Scripting for ArcGIS <https://www.amazon.com/Python-Scripting-ArcGIS-Paul-Zandbergen/dp/1589482824/ref=asap_bc?ie=UTF8>`_, Alternate edition. ESRI press. (`Available from the library <https://helka.linneanet.fi/cgi-bin/Pwebrecon.cgi?Search_Arg=Python+scripting+for+ArcGIS&Search_Code=TALL&SL=None&PID=PNf7cMJlQOsRhdelSvtktIwh3_E04&SEQ=20160912155918&CNT=50&HIST=1&SEARCH_FROM_TITLES_PAGE=Y>`_
  - Diener, M. (2015) `Python Geospatial Analysis Cookbook: Over 60 recipes to work with topology, overlays, indoor routing, and web application analysis with Python <https://www.packtpub.com/big-data-and-business-intelligence/python-geospatial-analysis-cookbook>`_. Packt Publishing.


Python tutorials
----------------

-  `Codecademy's Learn to program in Python <https://www.codecademy.com/learn/python>`__
-  `Software Carpentry's programming in Python <https://swcarpentry.github.io/python-novice-inflammation/>`__


Git + Github tutorials
----------------------

- `Online "Try-Git" tutorial (learn Git in your browser) <https://try.github.io>`__
- `Git simple guide ("no deep shit") tutorial <http://rogerdudler.github.io/git-guide/>`__
- `Software Carpentry's Git novice tutorial <https://swcarpentry.github.io/git-novice>`__
- `Git official documentation <https://git-scm.com/>`__
- `Screencast series in Youtube for learning GitHub <https://www.youtube.com/playlist?list=PL4Q4HssKcxYsTuqUUvEHJ8XxOVOHTSmle>`__
- `Tutorial on few extra features of GitHub not (most probably) covered in this course (e.g. branch, pull-request, merge) <https://guides.github.com/activities/hello-world/>`__
- `A TechCrunch article about 'What is GitHub Anyway?' <https://techcrunch.com/2012/07/14/what-exactly-is-github-anyway/>`__
- `A list of resources for learning Git and GitHub <https://help.github.com/articles/good-resources-for-learning-git-and-github/>`__