Recommended

Python: general introduction

• Whirlwind Tour of Python, VanderPlas - author’s website
• Think Python, Downey - purchase or read at Green Tea Press
• Hitchhiker’s Guide to Python! - official documentation

Python: data science and analysis

• Python for Data Analysis, McKinney - author’s website
• Python Data Science Handbook, VanderPlas - author’s website
• PyTorch Tutorials - official documentation
• TensorFlow Tutorials - official documentation
• Dive into Deep Learning - authors’ website
• Understanding Deep Learning ****- author’s website (WARNING: intense math)

O’Reilly Library Access (UCSF Institutional login)

• Hands-on Machine Learning, Géron and companion repository
• Machine Learning with PyTorch and Scikit-Learn, Rashka
• Deep Learning with PyTorch, Viehmann

UCSF Library

UCSF library resources that might be helpful for your class project or future work:

• Library Databases Catalog: Library databases by subject/type/provider
• Research Guides: Great for finding data sources for population health, health service research, and COVID-19 research
• UC Data Week Seminars:
  • Digital Humanities Data
  • Social Sciences/Government Data
  • GIS Data and Mapping
  • Web Archives as Data
  • Recordings and more materials available for search

If you are working with EHR data from the info commons, in addition to the

wiki, this page might be worth checking out:

• Informatics Tools: Seminar materials, including access to high-performance computing, research analysis environment, info commons, patient explorerR, imaging commons, EMERSE for querying and analyzing clinical notes, etc.
• Office Hours related to data assets and info commons: schedule

The data science and open scholarship team also has help desk hours and consultations for related questions: DSOS team

Additional options