from IPython.core.display import HTML

HTML(open("custom.html", "r").read())

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Copyright (C) 2014-2021 Scientific IT Services of ETH Zurich,
Contributing Authors: Uwe Schmitt

Books, other courses and online material

Books

Interesting practical use cases (no science):

• "Invent with Python": http://inventwithpython.com/chapters/
• "Automate the boring stuff": https://automatetheboringstuff.com/

Develop simple graphical games with Python:

• "Games with Python": https://inventwithpython.com/pygame/chapters/

More about encryption and breaking ciphers:

• "Hacking secret ciphers with Python": https://inventwithpython.com/hacking/chapters/

• "Python for biologists": http://pythonforbiologists.com/index.php/books/, the beginners book is at the same level as the ETH course, sometimes more elaborate about coding practices and a good read.

Challenges

• Nice weekly exercises for beginners: http://www.practicepython.org/

In your browser

Other introduction courses:

• (pdf) https://www.gitbook.com/book/swaroopch/byte-of-python/details
• (online course) https://www.codecademy.com/learn/learn-python-3

More about plotting:

This tutorial uses so numpy arrays, and not lists as we did during the course. Actually numpy is the preferred way to go:

https://github.com/jrjohansson/scientific-python-lectures/blob/master/Lecture-4-Matplotlib.ipynb,

Online courses

Usually the course material is for free but you have to pay (about \$29-\$99) for certificates and for participating in examns:

• "Python for genomics": https://www.coursera.org/learn/python-genomics
• "Python for data science": https://www.coursera.org/learn/python-data-analysis
• Another Python introduction: https://www.coursera.org/learn/learn-to-program
• Collection of Python courses related to data science: https://www.coursera.org/specializations/data-science-python

Python for genomics

If you want to apply Python for genomics BioPython might be interesting for you: http://biopython.org/DIST/docs/tutorial/Tutorial.html

https://sis.id.ethz.ch/consulting/#code-clinic !

Usually every two weeks, unformal, come for any question you have. Sometimes we announce this per email, but the code clinics are announced at https://sis.id.ethz.ch/news/

If you want to know more about or work look at

https://sis.id.ethz.ch

https://twitter.com/ETH_SIS