Python Examples for Data Analysis including Healthcare and BioInformatics I will document tools and examples from online resources and books.
IDE used: Anaconda, free from: https://www.anaconda.com/download/ . Anaconda installation tutorial: https://medium.com/@GalarnykMichael/install-python-on-windows-anaconda-c63c7c3d1444 . Online Documentation to guide one to GUI-based and interactive frameworks: https://docs.anaconda.com/anaconda/navigator/ -- Anaconda navigator provides access to multiple popular development/interactive/reproducible environments and visualization/data mining frameworks. User Guide: https://conda.io/docs/user-guide/getting-started.html
Book Examples are from: "Python for Data Analysis" by W. McKinney, O'Reilly. Code is available here: https://github.com/kojoidrissa/pydata-book .
They are adapted here for accessing open data for health and using SODA (Socrata Open Data API). See: https://dev.socrata.com/ . Here is a Python related example: https://dev.socrata.com/blog/2016/02/01/pandas-and-jupyter-notebook.html . It will be used for IPPS (Inpatient Prospective Payment System) database found here: https://data.cms.gov/Medicare-Inpatient/Inpatient-Prospective-Payment-System-IPPS-Provider/97k6-zzx3
Ref book for Genomic database: General -- https://www.ncbi.nlm.nih.gov/books/NBK21128/ , Browser -- https://genome.ucsc.edu/goldenpath/help/hgTracksHelp.html