Resources

Books

No book is required. But we highly recommend two books for this course.

• Fluent Python: Clear, Concise, and Effective Programming, by Luciano Ramalho. Publisher: O'Reilly Media. 2015.
• Designing Data Intensive Applications, by http://dataintensive.net/, The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann. Publisher: O'Reilly Media 2014

Other useful books

• The Practice of Programming (ISBN 0-201-61586-X) by Brian W. Kernighan and Rob Pike, Addison-Wesley, 1999.
• Skiena: The Algorithm Design Manual
• Abelson, Sussmann and Sussmann: SICP and python based online version based on it: http://composingprograms.com/
• High Performance Python: By Micha Gorelick, Ian Ozsvald. Oreilly Media 2014.
• Hacker guide to python testing sample chapter (book's pretty good too) (https://julien.danjou.info/media/the-hacker-guide-to-python-sample.pdf)

Papers and other readings

Week 0:

• Best Practices for Scientific Computing
• Python pep8
• An opinionated guide to python style