1. Parallel and Cluster Computing with R

    2016-09-27

    Taking better advantage of hardware to speed up our software

  2. Floating Point Arithmetic for Data Analysts

    2016-07-28

    How our computers store and operate on real numbers

  3. Python Threading Examples

    2016-06-22

    Modifiable examples using Python's threading module.

  4. R, OO, and Mutability

    2016-05-27

    Convincing an OO programmer against OO programming in R

  5. Website launched

    2016-04-12

    Quick chronicle of the process to get this site online

  6. Data Intake: Defining, Cleaning and Merging

    2016-04-09

    Basic data intake notes for DataFest 2016

  7. Automated R Clusters on AWS

    2016-02-17

    Minimum viable clusters presentation for StatProgDC

  8. Pseudo-Random Number Generators

    2016-02-05

    Pseudo-random number generators for statistical analysis

  9. Amazon Web Services for Data Analysis

    2015-11-12

    AWS products relevant to data analysts

  10. Gitting Started: Git and GitLab

    2015-10-05

    First steps with Git and GitLab

  11. Mapping in R

    2015-07-31

    Principles of map graphics, recommended functions and packages

  12. Robust Regression: Theory and Implementation in R

    2015-03-13

    A primer on robust regression methods