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Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
Interactive data visualizations and plotting in Julia
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Create new Julia packages, the easy way
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
High-performance metaheuristics for optimization coded purely in Julia.
Tidier data visualization in Julia, modeled after the ggplot2 R package.
A standard library of components to model the world and beyond
Tidier data transformations in Julia, modeled after the dplyr/tidyr R packages.
Template to build a course webpage like the *Introduction to computational thinking with Julia* course tought at MIT
Tidier file reading and writing in Julia, modeled after the readr, haven, readxl, and writexl R packages.
Tidier date transformations in Julia, modeled after the lubridate R package.
Tidier string transformations in Julia, modeled after the stringr R package.