Resource Collection #

Recommended Reading #

• All content and course materials can be accessed online. There is no textbook for this course.

All Georgia Tech students have FREE access to https://www.oreilly.com, where you can find a huge number of highly rated and classic books (e.g., the “animal” books) from O’Reilly and Pearson covering a wide variety of computer science topics, including some of those listed below. Just log in with your official GT email address, e.g., jdoe3@gatech.edu.

Software engineering; become a better programmer and developer #

• Debugging

• Clean Code

• Refactoring

• Design Patterns: Elements of Reusable Object-Oriented Software

• The Pragmatic Programmer: From Journeyman to Master

Python #

• Python Bootcamp, for campus MS Analytics students. By Chris Simpkins

Data science, machine learning, data mining #

• Data Science for Business by Foster Provost and Tom Fawcett
• The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani, and Jerome Friedman

Probability #

• FREE probability book, by Prof. Guy Lebanon (From Amazon)

Human Computation #

• Human Computation book by Edith Law and Luis von Ahn

How to manage multiple versions of Python packages? #

• To get started, we recommend the excellent article on Which Python package manager should you use?

• If you’ve decided to go with pyenv, I recommend Managing Multiple Python Versions With pyenv.

• If you use Mac, we recommend to also check out The right and wrong way to set Python 3 as default on a Mac.

• Explore using Poetry which seems to be fast replacing conda envs, and may even replace setuptools for pypi packages in the future.