DS 256: Data Science Programming

DS 256 - Data Science Programming
Fall 2020

Course Information

Course Materials

Homework specifications and other materials will be supplied via CoCalc unless otherwise specified.

Online Resources

Texts:
- A Whirlwind Tour of Python by Jake VanderPlas (Jupyter notebooks of the text, PDF)
- Python Data Science Handbook by Jake VanderPlas (Jupyter notebooks of the text, HTML)
- ThinkPython 2e by Allen B. Downey (PDF, HTML)
- Automate the Boring Stuff with Python: Practical Programming for Total Beginners by Al Sweigart (HTML)
Software:
- Anaconda
Documentation:
- Python 3
- IPython
- Jupyter Notebook
- Numpy
- Pandas
- Matplotlib
- Scikit-Learn
Quick References
- Jupyter notebook GUI reference and keyboard shortcuts