A Tutorial Series for Economists Learning to Program in the Julia Language. An Introduction to Structural Econometrics in Julia. This tutorial is adapted from my Julia introductory lecture taught in the graduate course. Department of Economics, University of Chicago. Installing Julia Juno IDE, as well as useful packages. Defining a structural econometric challenge. Data generation, management, and regression visualization. Now, with Julia v.

Is a high-level, high-performance dynamic programming language for numerical computing. It provides a sophisticated compiler, distributed parallel execution. Numerical accuracy, and an extensive mathematical function library. In addition, the Julia developer community is contributing a number of external packages. A collaboration between the Jupyter.

A blog to collect thoughts, links, articles on Medical Informatics, and Health Care Policy. Views expressed are my own and not attributable to employers past or present. Friday, April 07, 2017. Thursday, March 23, 2017. Friday, October 21, 2016.

A Random Blog About Math and Life. December 15 2016 in Differential Equations. Needless to say, Julia makes you too productive. By the first release announcement. Since that release announcement, we have made enormous progress. At this point, I believe we have both the most expansive and flexible . Modular Algorithms for Scientific Computing in Julia. December 7 2016 in Julia.

Coding examples for quantitative environmental data analysis and simulation. Meta-analysis of Over 1,000 Groundwater Chlorinated Hydrocarbon Plumes Using Python Tools. Coding an Analytical Solution for Groundwater Banking with Superposition. Rapid Computation of Groundwater Drawdown in a Well Field via Theis Solution, Implemented with Python SciPy.