Appendix D: Resources

There are many resources freely available on the web for further learning.

One of the strengths of Python relative to other languages is the diversity of of applications it has.

Do find one area of interest and make it your own.

Documentation

https://docs.python.org/3/

The important ones are:

• Tutorial
• Library Reference - Practical
• Language Reference - Academic, authoritative.

Tutorials

• start with these:
  • http://interactivepython.org/runestone/static/thinkcspy/toc.html
  • http://opentechschool.github.io/python-beginners/en/index.html
  • http://learnpythonthehardway.org/ Not hard, hands on
• Popular:
  • http://www.codecademy.com/en/tracks/python
  • http://inventwithpython.com/
  • http://www.diveintopython3.net/

Online Courses

Python today is widely taught in University. Here are some execelent resources.

• Udacity - CS101
• MIT Intro to Computer Science and Programming (MITOpenCourseware)
• Introduction to Interative Programming in Python (Coursera)
• Learn to Program: The Fundamentals (University of Toronto, Coursera)

Applied

The best way to consolidate learning programming is to find a domain that is of interest and learn more about programming it.

Here are some resources that will inspire.

Natural Language Processing

Natural Language processing refers to tools used to parse and add semantics to human language. Talking with computers.

• http://www.nltk.org/
• http://www.nltk.org/book/
• Python 3 Text Processing with NLTK 3 Cookbook

Web development

• https://docs.djangoproject.com/en/ Django Tutorial
• http://www.obeythetestinggoat.com/ To become a pro!

Games

• http://www.pygame.org/wiki/tutorials

3D Graphics

• Blender
  • http://wiki.blender.org/index.php/Extensions:2.6/Py/Scripts
  • http://www.blender.org/api/blender_python_api_2_72_1/
• Maya
  • http://zurbrigg.com/maya-python

Electronics

Raspberry Pi is currently the center of focus for fun with home electronics.

• Make: Sensors: A Hands-On Primer for Monitoring the Real World with Arduino and Raspberry Pi
• Make: More Electronics: Journey Deep Into the World of Logic Chips, Amplifiers, Sensors, and Randomicity
• Raspberry Pi Home Automation with Arduino
• Raspberry Pi for Secret Agents
• Raspberry Pi Cookbook for Python Programmers
• OReilly RPi
• Getting Started with Sensors: Measure the World with Electronics, Arduino, and Raspberry Pi

Geospatial (GIS)

• http://geospatialpython.com/
• http://qgis.org/en/site/
• http://docs.qgis.org/2.0/en/docs/pyqgis_developer_cookbook/

Biology

• http://biopython.org/DIST/docs/tutorial/Tutorial.html

Maths

• http://www.sagemath.org/doc/thematic_tutorials/
• http://www.sagemath.org/doc/tutorial/

Forensics

• Violent Python (book)
• Grey Hat Python (book)

Mobile

• http://kivy.org/docs/tutorials/pong.html

Data Science

• Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython (book)
• http://pandas.pydata.org/pandas-docs/dev/tutorials.html

Machine Learning

• Scikit-Learn: Machine Learning in Python
• http://scikit-learn.org/stable/tutorial/index.html
• Practical Data Science Cookbook (book)
• Building Probabilistic Models with Python (Book)

Course References

Some materials that inspred this course.

• Open Tech Schoool
  • http://opentechschool.github.io/python-beginners/en/index.html
• How to Design Programs
  • http://htdp.org/
• Structure and Interpretation of Computer Programs
  • https://mitpress.mit.edu/sicp/full-text/book/book.html